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Citation Profile [Updated: 2022-11-01 10:22:50]
5 Years H Index
12
Impact Factor (IF)
0.36
5 Years IF
0.33
Data available in this report

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ] [more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators
Raw Data

 

IF AIF CIF IF5 DOC CDO CIT NCI CCU D2Y C2Y D5Y C5Y SC %SC CiY II AII
2008 0 0.49 0 0 8 8 12 0 0 0 0 0 0.23
2009 0 0.47 0 0 20 28 24 0 8 8 0 0 0.24
2010 0.07 0.48 0.06 0.07 20 48 98 3 3 28 2 28 2 2 66.7 0 0.21
2011 0.1 0.52 0.07 0.08 22 70 75 5 8 40 4 48 4 2 40 1 0.05 0.24
2012 0.4 0.51 0.27 0.29 24 94 39 25 33 42 17 70 20 11 44 1 0.04 0.22
2013 0.17 0.56 0.28 0.27 20 114 74 32 65 46 8 94 25 4 12.5 2 0.1 0.24
2014 0.14 0.55 0.21 0.22 21 135 153 28 94 44 6 106 23 7 25 2 0.1 0.23
2015 0.61 0.55 0.35 0.38 21 156 62 54 148 41 25 107 41 14 25.9 1 0.05 0.23
2016 0.55 0.53 0.34 0.32 16 172 38 58 206 42 23 108 35 13 22.4 1 0.06 0.21
2017 0.27 0.55 0.35 0.34 25 197 49 68 274 37 10 102 35 27 39.7 3 0.12 0.21
2018 0.27 0.57 0.24 0.37 41 238 31 58 332 41 11 103 38 12 20.7 1 0.02 0.24
2019 0.21 0.6 0.33 0.39 44 282 39 94 426 66 14 124 48 21 22.3 1 0.02 0.24
2020 0.19 0.73 0.31 0.29 42 324 16 102 528 85 16 147 42 19 18.6 1 0.02 0.34
2021 0.36 1.02 0.42 0.33 42 366 7 152 680 86 31 168 56 20 13.2 3 0.07 0.39
IF: Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for series in RePEc in year y
CIF: Cumulative impact factor
IF5: Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CIT: Number of citations to papers published in year y
NCI: Number of citations in year y
CCU: Cumulative number of citations to papers published until year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
SC: selft citations in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y
50 most cited documents in this series
#YearTitleCited
12014Functional data clustering: a survey. (2014). Jacques, Julien ; Preda, Cristian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:231-255.

Full description at Econpapers || Download paper

42
22010Methods for merging Gaussian mixture components. (2010). Hennig, Christian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:1:p:3-34.

Full description at Econpapers || Download paper

34
32013On mixtures of skew normal and skew $$t$$ -distributions. (2013). Lee, Sharon ; McLachlan, Geoffrey . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:241-266.

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26
42010A review of robust clustering methods. (2010). Garcia-Escudero, Luis ; Matran, Carlos ; Gordaliza, Alfonso ; Mayo-Iscar, Agustin. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:89-109.

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25
52011A tail dependence-based dissimilarity measure for financial time series clustering. (2011). De Luca, Giovanni ; Zuccolotto, Paola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:323-340.

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20
62013Clustering and classification via cluster-weighted factor analyzers. (2013). Punzo, Antonio ; Subedi, Sanjeena ; Ingrassia, Salvatore ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:1:p:5-40.

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20
7A comparison of some criteria for states selection in the latent Markov model for longitudinal data. (2014). Pandolfi, Silvia ; Bacci, Silvia ; Pennoni, F.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:125-145.

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19
82011Model-based clustering of time series in group-specific functional subspaces. (2011). Jacques, Julien ; Bouveyron, Charles. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:281-300.

Full description at Econpapers || Download paper

19
92017A novel method for forecasting time series based on fuzzy logic and visibility graph. (2017). Deng, Yong ; Ashuri, Baabak ; Zhang, Rong. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:4:d:10.1007_s11634-017-0300-3.

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16
102014Simplicial band depth for multivariate functional data. (2014). Sun, Ying ; Lopez-Pintado, Sara ; Genton, Marc ; Lin, Juan. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:321-338.

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15
112014Estimating common principal components in high dimensions. (2014). Browne, Ryan ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:217-226.

Full description at Econpapers || Download paper

14
122015Modeling and forecasting interval time series with threshold models. (2015). Rodrigues, Paulo ; Salish, Nazarii. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:1:p:41-57.

Full description at Econpapers || Download paper

13
13Clustering of financial time series in risky scenarios. (2014). Durante, Fabrizio ; Pappada, Roberta ; Torelli, Nicola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:4:p:359-376.

Full description at Econpapers || Download paper

12
142009Trimming algorithms for clustering contaminated grouped data and their robustness. (2009). Gallegos, Maria ; Ritter, Gunter . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:2:p:135-167.

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11
152014Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. (2014). Subedi, Sanjeena ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:167-193.

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11
162013Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions. (2013). McNicholas, Paul ; Scrucca, Luca ; Morris, Katherine . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:321-338.

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10
172016Varying uncertainty in CUB models. (2016). Piccolo, Domenico ; Gottard, Anna ; Iannario, Maria. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:2:d:10.1007_s11634-016-0235-0.

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10
182016A mixture of generalized hyperbolic factor analyzers. (2016). Browne, Ryan P ; McNicholas, Paul D ; Tortora, Cristina. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:4:d:10.1007_s11634-015-0204-z.

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10
192008A DC programming approach for feature selection in support vector machines learning. (2008). Le Thi, Hoai An ; Nguyen, Van ; Dinh, Tao Pham ; PhamDinh, Tao . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:2:y:2008:i:3:p:259-278.

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9
202010A simulation study to compare robust clustering methods based on mixtures. (2010). Coretto, Pietro ; Hennig, Christian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:111-135.

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9
212011Model-based clustering and segmentation of time series with changes in regime. (2011). Aknin, Patrice ; Govaert, Gerard ; Chamroukhi, Faicel ; Same, Allou. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:301-321.

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8
222014Latent class CUB models. (2014). Rampichini, Carla ; Piccolo, Domenico ; Grilli, Leonardo ; Iannario, Maria. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:105-119.

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8
232014Robust clustering around regression lines with high density regions. (2014). Perrotta, Domenico ; Cerioli, Andrea. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:5-26.

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8
242014A constrained robust proposal for mixture modeling avoiding spurious solutions. (2014). Garcia-Escudero, L. ; Mayo-Iscar, A. ; Gordaliza, A.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:27-43.

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7
252016Model based clustering for mixed data: clustMD. (2016). McParland, Damien ; Gormley, Isobel Claire. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:2:d:10.1007_s11634-016-0238-x.

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7
262017Mixture models for ordinal responses to account for uncertainty of choice. (2017). Piccolo, Domenico ; Iannario, Maria ; Schneider, Micha ; Tutz, Gerhard. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:2:d:10.1007_s11634-016-0247-9.

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7
272014New insights on permutation approach for hypothesis testing on functional data. (2014). Melas, Viatcheslav ; Salmaso, Luigi ; Corain, Livio ; Pepelyshev, Andrey. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:339-356.

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7
282015Improved initialisation of model-based clustering using Gaussian hierarchical partitions. (2015). Raftery, Adrian ; Scrucca, Luca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:447-460.

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6
292017Multivariate and functional classification using depth and distance. (2017). Rousseeuw, Peter ; Segaert, Pieter ; Hubert, Mia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:3:d:10.1007_s11634-016-0269-3.

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6
302011Fast algorithms for determining (generalized) core groups in social networks. (2011). Batagelj, Vladimir ; Zavernik, Matja . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:2:p:129-145.

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6
312015Robust model-based clustering via mixtures of skew-t distributions with missing information. (2015). Wang, Wan-Lun. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:423-445.

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6
322018A computationally fast variable importance test for random forests for high-dimensional data. (2018). Boulesteix, Anne-Laure ; Celik, Ender ; Janitza, Silke. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:4:d:10.1007_s11634-016-0276-4.

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6
332013A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. (2013). Vermunt, Jeroen ; Kollenburg, Geert ; Oberski, Daniel . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:267-279.

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6
342012Exploring incomplete data using visualization techniques. (2012). Filzmoser, Peter ; Alfons, Andreas ; Templ, Matthias. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:1:p:29-47.

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6
352014Graphical tools for model-based mixture discriminant analysis. (2014). Scrucca, Luca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:147-165.

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6
362010Robust classification for skewed data. (2010). Van der Veeken, Stephan ; Hubert, Mia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:239-254.

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6
372011Assessing and accounting for time heterogeneity in stochastic actor oriented models. (2011). Snijders, Tom ; Ripley, Ruth ; Schweinberger, Michael ; Lospinoso, Joshua . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:2:p:147-176.

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6
382009New robust dynamic plots for regression mixture detection. (2009). Riani, Marco ; Torti, Francesca ; Perrotta, Domenico. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:3:p:263-279.

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5
392012Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences. (2012). Van den Poel, Dirk ; Migueis, Vera ; João Falcão e Cunha, ; Camanho, Ana. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:337-353.

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5
402011Correcting Jaccard and other similarity indices for chance agreement in cluster analysis. (2011). Niewiadomska-Bugaj, Magdalena ; Albatineh, Ahmed . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:3:p:179-200.

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5
412015Classifying real-world data with the $${ DD}\alpha $$ D D ? -procedure. (2015). Mosler, Karl ; Lange, Tatjana ; Mozharovskyi, Pavlo. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:3:p:287-314.

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5
422012Sensory analysis in the food industry as a tool for marketing decisions. (2012). Piccolo, Domenico ; Zuccolotto, Paola ; Manisera, Marica ; Iannario, Maria. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:303-321.

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5
432019From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering. (2019). Malsiner-Walli, Gertraud ; Fruhwirth-Schnatter, Sylvia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0329-y.

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5
442011Detection of multivariate outliers in business survey data with incomplete information. (2011). Todorov, Valentin ; Filzmoser, Peter ; Templ, Matthias. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:1:p:37-56.

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5
452010Inequalities between multi-rater kappas. (2010). Warrens, Matthijs . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:271-286.

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5
462012Analyzing multiset data by the Power STATIS-ACT method. (2012). Dosse, Mohammed Bennani ; Benasseni, Jacques . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:1:p:49-65.

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5
472015Maximum likelihood estimation of Gaussian mixture models without matrix operations. (2015). Nguyen, Hien ; McLachlan, Geoffrey . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:371-394.

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5
482015Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library. (2015). Riani, Marco ; Perrotta, Domenico ; Cerioli, Andrea ; Torti, Francesca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:461-481.

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5
492011Multiple imputation in principal component analysis. (2011). Josse, Julie ; Pages, Jerome ; Husson, Franois. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:3:p:231-246.

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4
502018A data driven equivariant approach to constrained Gaussian mixture modeling. (2018). Rocci, Roberto ; di Mari, Roberto ; Gattone, Stefano Antonio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:2:d:10.1007_s11634-016-0279-1.

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4
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12014Functional data clustering: a survey. (2014). Jacques, Julien ; Preda, Cristian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:231-255.

Full description at Econpapers || Download paper

26
22011Model-based clustering of time series in group-specific functional subspaces. (2011). Jacques, Julien ; Bouveyron, Charles. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:281-300.

Full description at Econpapers || Download paper

10
32010A review of robust clustering methods. (2010). Garcia-Escudero, Luis ; Matran, Carlos ; Gordaliza, Alfonso ; Mayo-Iscar, Agustin. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:89-109.

Full description at Econpapers || Download paper

9
42011A tail dependence-based dissimilarity measure for financial time series clustering. (2011). De Luca, Giovanni ; Zuccolotto, Paola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:323-340.

Full description at Econpapers || Download paper

8
52013Clustering and classification via cluster-weighted factor analyzers. (2013). Punzo, Antonio ; Subedi, Sanjeena ; Ingrassia, Salvatore ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:1:p:5-40.

Full description at Econpapers || Download paper

8
62010Methods for merging Gaussian mixture components. (2010). Hennig, Christian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:1:p:3-34.

Full description at Econpapers || Download paper

8
72014Estimating common principal components in high dimensions. (2014). Browne, Ryan ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:217-226.

Full description at Econpapers || Download paper

8
82013On mixtures of skew normal and skew $$t$$ -distributions. (2013). Lee, Sharon ; McLachlan, Geoffrey . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:241-266.

Full description at Econpapers || Download paper

7
92017A novel method for forecasting time series based on fuzzy logic and visibility graph. (2017). Deng, Yong ; Ashuri, Baabak ; Zhang, Rong. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:4:d:10.1007_s11634-017-0300-3.

Full description at Econpapers || Download paper

7
102014A comparison of some criteria for states selection in the latent Markov model for longitudinal data. (2014). Pandolfi, Silvia ; Bacci, Silvia ; Pennoni, F.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:125-145.

Full description at Econpapers || Download paper

6
112014Clustering of financial time series in risky scenarios. (2014). Durante, Fabrizio ; Pappada, Roberta ; Torelli, Nicola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:4:p:359-376.

Full description at Econpapers || Download paper

6
122016Model based clustering for mixed data: clustMD. (2016). McParland, Damien ; Gormley, Isobel Claire. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:2:d:10.1007_s11634-016-0238-x.

Full description at Econpapers || Download paper

5
132019From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering. (2019). Malsiner-Walli, Gertraud ; Fruhwirth-Schnatter, Sylvia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0329-y.

Full description at Econpapers || Download paper

5
142018A computationally fast variable importance test for random forests for high-dimensional data. (2018). Boulesteix, Anne-Laure ; Celik, Ender ; Janitza, Silke. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:4:d:10.1007_s11634-016-0276-4.

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5
152015Improved initialisation of model-based clustering using Gaussian hierarchical partitions. (2015). Raftery, Adrian ; Scrucca, Luca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:447-460.

Full description at Econpapers || Download paper

5
162016A mixture of generalized hyperbolic factor analyzers. (2016). Browne, Ryan P ; McNicholas, Paul D ; Tortora, Cristina. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:4:d:10.1007_s11634-015-0204-z.

Full description at Econpapers || Download paper

4
172014Simplicial band depth for multivariate functional data. (2014). Sun, Ying ; Lopez-Pintado, Sara ; Genton, Marc ; Lin, Juan. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:321-338.

Full description at Econpapers || Download paper

4
182015Modeling and forecasting interval time series with threshold models. (2015). Rodrigues, Paulo ; Salish, Nazarii. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:1:p:41-57.

Full description at Econpapers || Download paper

4
192016Varying uncertainty in CUB models. (2016). Piccolo, Domenico ; Gottard, Anna ; Iannario, Maria. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:2:d:10.1007_s11634-016-0235-0.

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4
202017Disjoint factor analysis with cross-loadings. (2017). Vichi, Maurizio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:3:d:10.1007_s11634-016-0263-9.

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4
212018Eigenvalues and constraints in mixture modeling: geometric and computational issues. (2018). Greselin, Francesca ; Mayo-Iscar, Agustin ; Ingrassia, Salvatore ; Gordaliza, Alfonso ; Garcia-Escudero, Luis Angel. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:2:d:10.1007_s11634-017-0293-y.

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4
222015Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library. (2015). Riani, Marco ; Perrotta, Domenico ; Cerioli, Andrea ; Torti, Francesca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:461-481.

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3
232014Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. (2014). Subedi, Sanjeena ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:167-193.

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3
242009New robust dynamic plots for regression mixture detection. (2009). Riani, Marco ; Torti, Francesca ; Perrotta, Domenico. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:3:p:263-279.

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3
252019A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification. (2019). Lee, Muhammad Hisyam ; Algamal, Zakariya Yahya. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:3:d:10.1007_s11634-018-0334-1.

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3
262012Analyzing multiset data by the Power STATIS-ACT method. (2012). Dosse, Mohammed Bennani ; Benasseni, Jacques . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:1:p:49-65.

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3
272020Gaussian parsimonious clustering models with covariates and a noise component. (2020). Murphy, Thomas Brendan. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:2:d:10.1007_s11634-019-00373-8.

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3
282017Multivariate and functional classification using depth and distance. (2017). Rousseeuw, Peter ; Segaert, Pieter ; Hubert, Mia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:3:d:10.1007_s11634-016-0269-3.

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3
292015Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition. (2015). Alfo, Marco ; Marino, Maria. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:483-502.

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302019Assessing trimming methodologies for clustering linear regression data. (2019). Riani, Marco ; Cerioli, Andrea ; Perrotta, Domenico ; Torti, Francesca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0331-4.

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312014Robust clustering around regression lines with high density regions. (2014). Perrotta, Domenico ; Cerioli, Andrea. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:5-26.

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322015Robust model-based clustering via mixtures of skew-t distributions with missing information. (2015). Wang, Wan-Lun. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:423-445.

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332018Minimum distance method for directional data and outlier detection. (2018). Rodriguez, Daniela ; Sau, Mercedes Fernandez. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:3:d:10.1007_s11634-017-0287-9.

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342016Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models. (2016). Tekle, Fetene B ; Vermunt, Jeroen K ; Gudicha, Dereje W. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:2:d:10.1007_s11634-016-0251-0.

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352019Finite mixture of regression models for censored data based on scale mixtures of normal distributions. (2019). Benites, Luis ; Lachos, Victor Hugo ; Barbosa, Celso Romulo ; Zeller, Camila Borelli. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0337-y.

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362013A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. (2013). Vermunt, Jeroen ; Kollenburg, Geert ; Oberski, Daniel . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:267-279.

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372015Basic statistics for distributional symbolic variables: a new metric-based approach. (2015). Verde, Rosanna ; Irpino, Antonio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:2:p:143-175.

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382018A data driven equivariant approach to constrained Gaussian mixture modeling. (2018). Rocci, Roberto ; di Mari, Roberto ; Gattone, Stefano Antonio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:2:d:10.1007_s11634-016-0279-1.

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392019Greedy Gaussian segmentation of multivariate time series. (2019). Boyd, Stephen ; Nystrup, Peter ; Hallac, David. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:3:d:10.1007_s11634-018-0335-0.

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402010Inequalities between multi-rater kappas. (2010). Warrens, Matthijs . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:271-286.

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412018Non-symmetrical composite-based path modeling. (2018). Lauro, Natale Carlo ; Vinzi, Vincenzo Esposito ; Dolce, Pasquale. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:3:d:10.1007_s11634-017-0302-1.

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422019Unifying data units and models in (co-)clustering. (2019). Lourme, Alexandre ; Biernacki, Christophe. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0325-2.

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432017Fuzzy data analysis and classification. (2017). Gil, Maria Angeles ; Durso, Pierpaolo. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:4:d:10.1007_s11634-017-0304-z.

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442012A note on consistency improvements of AHP paired comparison data. (2012). Gaul, Wolfgang ; Gastes, Dominic. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:289-302.

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452021Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. (2021). McLachlan, Geoffrey J ; Tsung-I Lin, ; Lee, Sharon X. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:15:y:2021:i:2:d:10.1007_s11634-020-00420-9.

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462019Finite mixtures, projection pursuit and tensor rank: a triangulation. (2019). Loperfido, Nicola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0336-z.

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472020A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C. (2020). Evgeniou, Theodoros ; Provost, Foster ; Martens, David ; Ramon, Yanou. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:4:d:10.1007_s11634-020-00418-3.

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482015Lasso-constrained regression analysis for interval-valued data. (2015). Giordani, Paolo. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:1:p:5-19.

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492013Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification. (2013). Roblitz, Susanna ; Weber, Marcus . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:2:p:147-179.

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502019Studying crime trends in the USA over the years 2000–2012. (2019). Zhu, Xuwen ; Melnykov, Volodymyr. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0326-1.

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Citing documents used to compute impact factor: 31
YearTitle
2021Gamma Mixture Density Networks and their application to modelling insurance claim amounts. (2021). Wuthrich, Mario V ; Lindholm, Mathias ; Delong, Ukasz. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:101:y:2021:i:pb:p:240-261.

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2021Robust variable selection for model-based learning in presence of adulteration. (2021). Murphy, Thomas Brendan ; Greselin, Francesca ; Cappozzo, Andrea. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:158:y:2021:i:c:s0167947321000207.

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2021Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions. (2021). Chen, Ding-Geng ; Naderi, Mehrdad ; Mirfarah, Elham. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:158:y:2021:i:c:s0167947321000165.

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2021M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data. (2021). Teran, Pedro ; van Aelst, Stefan ; Sinova, Beatriz. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:15:y:2021:i:2:d:10.1007_s11634-020-00402-x.

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2021A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting. (2021). McNicholas, Paul D ; Subedi, Sanjeena. In: Journal of Classification. RePEc:spr:jclass:v:38:y:2021:i:1:d:10.1007_s00357-019-09351-3.

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2021Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings. (2021). Sciandra, Mariangela ; Buscemi, Simona ; Plaia, Antonella. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:15:y:2021:i:4:d:10.1007_s11634-021-00442-x.

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2021.

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2021Adaptive sparse group LASSO in quantile regression. (2021). Lillo, Rosa E ; Aguilera-Morillo, Carmen M ; Mendez-Civieta, Alvaro. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:15:y:2021:i:3:d:10.1007_s11634-020-00413-8.

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2021Ranking of author assessment parameters using Logistic Regression. (2021). Afzal, Muhammad Tanvir ; Mustafa, Ghulam ; Usman, Muhammad. In: Scientometrics. RePEc:spr:scient:v:126:y:2021:i:1:d:10.1007_s11192-020-03769-y.

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2021On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19. (2021). Sillero-Denamiel, Remedios M ; Morales, Dolores Romero ; Ramirez-Cobo, Pepa ; Molero-Rio, Cristina ; Martin-Barragan, Belen ; Jimenez-Gamero, Dolores M ; Guerrero, Vanesa ; Carrizosa, Emilio ; Benitez-Pea, Sandra. In: European Journal of Operational Research. RePEc:eee:ejores:v:295:y:2021:i:2:p:648-663.

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2021In the pursuit of sparseness: A new rank-preserving penalty for a finite mixture of factor analyzers. (2021). Browne, Ryan P ; Kim, Nam-Hwui. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:160:y:2021:i:c:s0167947321000785.

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2021Efficient regularized spectral data embedding. (2021). Nadif, Mohamed ; Labiod, Lazhar. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:15:y:2021:i:1:d:10.1007_s11634-020-00386-8.

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2021Recent advances in directional statistics. (2021). Garcia-Portugues, Eduardo ; Pewsey, Arthur. In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:testjl:v:30:y:2021:i:1:d:10.1007_s11749-021-00759-x.

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2021Sparse group fused lasso for model segmentation: a hybrid approach. (2021). Degras, David. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:15:y:2021:i:3:d:10.1007_s11634-020-00424-5.

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2021Investment Decisions with Endogeneity: A Dirichlet Tree Analysis. (2021). Wagner, Ralf ; Samsami, Mahsa. In: JRFM. RePEc:gam:jjrfmx:v:14:y:2021:i:7:p:299-:d:586893.

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2021Suspended Sediment Modeling Using a Heuristic Regression Method Hybridized with Kmeans Clustering. (2021). Kisi, Ozgur ; Shahid, Shamsuddin ; Heddam, Salim ; Parmar, Kulwinder Singh ; Adnan, Rana Muhammad. In: Sustainability. RePEc:gam:jsusta:v:13:y:2021:i:9:p:4648-:d:540939.

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2021A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization. (2021). Mirzal, Andri. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:15:y:2021:i:4:d:10.1007_s11634-021-00447-6.

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2021.

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2021On the classification of financial data with domain agnostic features. (2021). Caiado, Jorge ; Bastos, João. In: Working Papers REM. RePEc:ise:remwps:wp01852021.

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2021Harmless label noise and informative soft-labels in supervised classification. (2021). McLachlan, Geoffrey J ; Ahfock, Daniel. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:161:y:2021:i:c:s0167947321000876.

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2021Clustering longitudinal life?course sequences using mixtures of exponential?distance models. (2021). Piccarreta, Raffaella ; Murphy, Brendan T ; Gormley, Claire I. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:184:y:2021:i:4:p:1414-1451.

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2021Modeling the duration and size of wildfires using joint mixture models. (2021). Dean, Charmaine B ; Taylor, Stephen W. In: Environmetrics. RePEc:wly:envmet:v:32:y:2021:i:6:n:e2685.

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2021.

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2021Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data. (2021). Kim, Yongsoo ; Barbosa, Barbara Andrade ; Wiel, Mark A ; Garcia, Juan J ; Ylstra, Bauke ; Dijk, Frederike ; Verheij, Joanne ; Farina-Sarasqueta, Arantza ; Oh, Ji Won ; Asten, Saskia D. In: Nature Communications. RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26328-2.

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2021An empirical comparison of two approaches for CDPCA in high-dimensional data. (2021). Vichi, Maurizio ; Macedo, Eloisa ; Freitas, Adelaide. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:30:y:2021:i:3:d:10.1007_s10260-020-00546-2.

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2021Mathematical optimization in classification and regression trees. (2021). Morales, Dolores Romero ; Molero-Rio, Cristina ; Carrizosa, Emilio. In: TOP: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:topjnl:v:29:y:2021:i:1:d:10.1007_s11750-021-00594-1.

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2021Bayesian sparse convex clustering via global-local shrinkage priors. (2021). Kawano, Shuichi ; Shimamura, Kaito. In: Computational Statistics. RePEc:spr:compst:v:36:y:2021:i:4:d:10.1007_s00180-021-01101-7.

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2021Modeling the cryptocurrency return distribution via Laplace scale mixtures. (2021). Bagnato, Luca ; Punzo, Antonio. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:563:y:2021:i:c:s0378437120307123.

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2021Weighted likelihood latent class linear regression. (2021). Agostinelli, Claudio ; Lucadamo, Antonio ; Greco, Luca. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:30:y:2021:i:2:d:10.1007_s10260-020-00540-8.

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Recent citations
Recent citations received in 2021

YearCiting document
2021A spatial AMH copula-based dissimilarity measure to cluster variables in panel data. (2021). Pappada, Roberta ; Menapace, Andrea ; Marta, F. In: BEMPS - Bozen Economics & Management Paper Series. RePEc:bzn:wpaper:bemps89.

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2021.

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2021Financial Knowledge, Confidence, and Sustainable Financial Behavior. (2021). Aristei, David ; Gallo, Manuela. In: Sustainability. RePEc:gam:jsusta:v:13:y:2021:i:19:p:10926-:d:648008.

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Recent citations received in 2020

YearCiting document
2020Tightening big Ms in integer programming formulations for support vector machines with ramp loss. (2020). Rodriguez-Chia, Antonio M ; Martinez-Merino, Luisa I ; Baldomero-Naranjo, Marta. In: European Journal of Operational Research. RePEc:eee:ejores:v:286:y:2020:i:1:p:84-100.

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Recent citations received in 2019

YearCiting document
2019A Bivariate Index for Visually Measuring Marginal Inhomogeneity in Square Tables. (2019). Ando, Shuji. In: International Journal of Statistics and Probability. RePEc:ibn:ijspjl:v:8:y:2019:i:5:p:58.

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Recent citations received in 2018

YearCiting document
2018Eigenvalues and constraints in mixture modeling: geometric and computational issues. (2018). Greselin, Francesca ; Mayo-Iscar, Agustin ; Ingrassia, Salvatore ; Gordaliza, Alfonso ; Garcia-Escudero, Luis Angel. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:2:d:10.1007_s11634-017-0293-y.

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