Roberto Rocci : Citation Profile


Are you Roberto Rocci?

"Sapienza" Università di Roma

5

H index

3

i10 index

87

Citations

RESEARCH PRODUCTION:

21

Articles

2

Papers

RESEARCH ACTIVITY:

   26 years (1994 - 2020). See details.
   Cites by year: 3
   Journals where Roberto Rocci has often published
   Relations with other researchers
   Recent citing documents: 16.    Total self citations: 6 (6.45 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pro254
   Updated: 2022-01-23    RAS profile: 2020-06-17    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Roberto Rocci.

Is cited by:

Greselin, Francesca (5)

Punzo, Antonio (4)

Ingrassia, Salvatore (3)

Vittadini, Giorgio (2)

Farcomeni, Alessio (2)

Mellace, Giovanni (1)

Huber, Martin (1)

Schröder, David (1)

Ferrari, Pier Alda (1)

Becchetti, Leonardo (1)

Blanchard, Simon (1)

Cites to:

Ingrassia, Salvatore (4)

Shiller, Robert (4)

Campbell, John (3)

Mealli, Fabrizia (2)

Cochrane, John (2)

Powell, James (2)

Kiefer, Nicholas (2)

merton, robert (2)

Deng, Yongheng (2)

Groenen, Patrick (1)

Adriani, Fabrizio (1)

Main data


Where Roberto Rocci has published?


Journals with more than one article published# docs
Psychometrika6
Computational Statistics & Data Analysis5
Statistical Methods & Applications2
Applied Stochastic Models in Business and Industry2
RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO2
Journal of Classification2

Working Papers Series with more than one paper published# docs
CEIS Research Paper / Tor Vergata University, CEIS2

Recent works citing Roberto Rocci (2021 and 2020)


YearTitle of citing document
2021Regularized matrix data clustering and its application to image analysis. (2021). Ombao, Hernando ; Frostig, Ron D ; Fortin, Norbert J ; Hu, Jianhua ; Zhang, Liwen ; Shen, Weining ; Gao, XU. In: Biometrics. RePEc:bla:biomet:v:77:y:2021:i:3:p:890-902.

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2020Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions. (2020). Gupta, Mayetri ; Nguyen, Hien D ; Redivo, Edoardo. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:152:y:2020:i:c:s0167947320301316.

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2021A Likelihood Ratio Test of a Homoscedastic Multivariate Normal Mixture Against a Heteroscedastic Multivariate Normal Mixture. (2021). Yao, Weixin ; Cong, Lin. In: Econometrics and Statistics. RePEc:eee:ecosta:v:18:y:2021:i:c:p:79-88.

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2021Soil texture prediction via reduced K-means Principal Component Multinomial Regression. (2021). Leone, Natalia ; Amenta, Pietro ; Lucadamo, Antonio. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:75:y:2021:i:c:s0038012119304793.

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2021.

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2021Citizen-Generated Data and Official Statistics: an application to SDG indicators. (2021). Menghinello, Stefano ; Ceccarelli, Claudio ; Pratesi, Monica. In: Discussion Papers. RePEc:pie:dsedps:2021/274.

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2020Approximating multivariate posterior distribution functions from Monte Carlo samples for sequential Bayesian inference. (2020). , Lodewyk ; Thijssen, Bram. In: PLOS ONE. RePEc:plo:pone00:0230101.

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2020Seemingly unrelated clusterwise linear regression. (2020). Soffritti, Gabriele ; Galimberti, Giuliano. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:2:d:10.1007_s11634-019-00369-4.

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2020Gaussian mixture modeling and model-based clustering under measurement inconsistency. (2020). Zheng, Rong ; Melnykov, Volodymyr ; Sarkar, Shuchismita. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:2:d:10.1007_s11634-020-00393-9.

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2020Predicting brand confusion in imagery markets based on deep learning of visual advertisement content. (2020). Baier, Daniel ; Nakayama, Atsuho . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:4:d:10.1007_s11634-020-00429-0.

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2020An Impartial Trimming Approach for Joint Dimension and Sample Reduction. (2020). Amenta, Pietro ; Lucadamo, Antonio ; Greco, Luca. In: Journal of Classification. RePEc:spr:jclass:v:37:y:2020:i:3:d:10.1007_s00357-019-09354-0.

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

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2020Mixtures of multivariate contaminated normal regression models. (2020). Punzo, Antonio ; Mazza, Angelo. In: Statistical Papers. RePEc:spr:stpapr:v:61:y:2020:i:2:d:10.1007_s00362-017-0964-y.

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2021Multivariate hidden Markov regression models: random covariates and heavy-tailed distributions. (2021). Maruotti, Antonello ; Ingrassia, Salvatore ; Punzo, Antonio. In: Statistical Papers. RePEc:spr:stpapr:v:62:y:2021:i:3:d:10.1007_s00362-019-01146-3.

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2020Robust model-based clustering with mild and gross outliers. (2020). Farcomeni, Alessio ; Punzo, Antonio. In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:testjl:v:29:y:2020:i:4:d:10.1007_s11749-019-00693-z.

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2020Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models. (2020). Gattone, Stefano Antonio ; Rocci, Roberto ; Mari, Roberto. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:29:y:2020:i:1:d:10.1007_s10260-019-00480-y.

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Works by Roberto Rocci:


YearTitleTypeCited
2017Mixture models for mixed-type data through a composite likelihood approach In: Computational Statistics & Data Analysis.
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article0
2007Constrained monotone EM algorithms for finite mixture of multivariate Gaussians In: Computational Statistics & Data Analysis.
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article25
2007A mixture of mixture models for a classification problem: The unity measure error In: Computational Statistics & Data Analysis.
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article5
2008Two-mode multi-partitioning In: Computational Statistics & Data Analysis.
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article13
2011Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints In: Computational Statistics & Data Analysis.
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article7
2007Editoriale In: RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO.
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article0
2008Editoriale In: RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO.
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article0
2007Industry and time specific deviations from fundamental values in a random coefficient model In: Annals of Finance.
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article3
2004Industry and Time Specific Deviations from Fundamental Values in a Random Coefficient Model.(2004) In: CEIS Research Paper.
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This paper has another version. Agregated cites: 3
paper
2011Principal Stratification in sample selection problems with non normal error terms In: CEIS Research Paper.
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paper1
2018A data driven equivariant approach to constrained Gaussian mixture modeling In: Advances in Data Analysis and Classification.
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article3
2007Simultaneous Component and Clustering Models for Three-way Data: Within and Between Approaches In: Journal of Classification.
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article9
2011A New Dimension Reduction Method: Factor Discriminant K-means In: Journal of Classification.
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article11
1994A simplification of a result by zellini on the maximal rank of symmetric three-way arrays In: Psychometrika.
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article2
1997Uniqueness of three-mode factor models with sparse cores: The 3 × 3 × 3 case In: Psychometrika.
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article2
2002Transforming three-way arrays to maximal simplicity In: Psychometrika.
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article0
2005Three-Mode Component Analysis with Crisp or Fuzzy Partition of Units In: Psychometrika.
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article3
2013Constrained Candecomp/Parafac via the Lasso In: Psychometrika.
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article1
2017A Model-Based Approach to Simultaneous Clustering and Dimensional Reduction of Ordinal Data In: Psychometrika.
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article0
2004A general algorithm to fit constrained DEDICOM models In: Statistical Methods & Applications.
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article1
2020Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models In: Statistical Methods & Applications.
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article0
2008Assessing the default risk by means of a discrete‐time survival analysis approach In: Applied Stochastic Models in Business and Industry.
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article0
2014Default risk analysis via a discrete‐time cure rate model In: Applied Stochastic Models in Business and Industry.
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article1

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