Peter Filzmoser : Citation Profile


Are you Peter Filzmoser?

Technische Universität Wien

11

H index

13

i10 index

388

Citations

RESEARCH PRODUCTION:

39

Articles

3

Papers

RESEARCH ACTIVITY:

   19 years (2000 - 2019). See details.
   Cites by year: 20
   Journals where Peter Filzmoser has often published
   Relations with other researchers
   Recent citing documents: 29.    Total self citations: 16 (3.96 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pfi117
   Updated: 2024-11-04    RAS profile: 2019-12-02    
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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 Peter Filzmoser.

Is cited by:

Jenkins, Stephen (10)

Riani, Marco (10)

THOMAS-AGNAN, Christine (7)

Farcomeni, Alessio (6)

Alfons, Andreas (6)

Burkhauser, Richard (5)

Wilkins, Roger (5)

METAXAS, THEODORE (5)

Hérault, Nicolas (5)

Lustig, Nora (4)

Greselin, Francesca (4)

Cites to:

Todorov, Valentin (10)

Riani, Marco (9)

Cizek, Pavel (6)

Alfons, Andreas (5)

Fan, Jianqing (4)

Silva, Pedro (3)

Zeileis, Achim (3)

Dehon, Catherine (3)

Greenacre, Michael (2)

Nolan, Brian (2)

Peña, Daniel (2)

Main data


Where Peter Filzmoser has published?


Journals with more than one article published# docs
Computational Statistics & Data Analysis9
Advances in Data Analysis and Classification7
Journal of Applied Statistics4
Statistical Papers4
Metrika: International Journal for Theoretical and Applied Statistics2
Journal of Statistical Software2
Computational Statistics2
Statistical Methods & Applications2

Working Papers Series with more than one paper published# docs
ULB Institutional Repository / ULB -- Universite Libre de Bruxelles2

Recent works citing Peter Filzmoser (2024 and 2023)


YearTitle of citing document
2023Functional Principal Component Analysis of Cointegrated Functional Time Series. (2020). Seo, Won-Ki. In: Papers. RePEc:arx:papers:2011.12781.

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2023Mind the Income Gap: Behavior of Inequality Estimators from Complex Survey Small Samples. (2021). Pacei, Silvia ; Ferrante, Maria Rosaria ; de Nicolo, Silvia. In: Papers. RePEc:arx:papers:2107.08950.

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2024Accounting statement analysis at industry level. A gentle introduction to the compositional approach. (2023). Serrat, N'Uria Arimany ; Coenders, Germa. In: Papers. RePEc:arx:papers:2305.16842.

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2024Functional Spatial Autoregressive Models. (2024). Hoshino, Tadao. In: Papers. RePEc:arx:papers:2402.14763.

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2024Pairwise share ratio interpretations of compositional regression models. (2024). THOMAS-AGNAN, Christine ; Dargel, Lukas. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:195:y:2024:i:c:s016794732400029x.

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2024Spherical autoregressive models, with application to distributional and compositional time series. (2024). Muller, Hans-Georg ; Zhu, Changbo. In: Journal of Econometrics. RePEc:eee:econom:v:239:y:2024:i:2:s0304407623000209.

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2024Internet of Vehicles (IoV) Based Framework for electricity Demand Forecasting in V2G. (2024). Saini, Munish ; Sood, Sandeep Kumar ; Kumar, Navin. In: Energy. RePEc:eee:energy:v:297:y:2024:i:c:s0360544224009721.

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2023Robust regression for electricity demand forecasting against cyberattacks. (2023). Wang, You-Gan ; Wu, Jinran ; Vandenheuvel, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1573-1592.

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2023Extending compositional data analysis from a graph signal processing perspective. (2023). Filzmoser, Peter ; Rieser, Christopher. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:198:y:2023:i:c:s0047259x23000556.

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2023Orthogonal decomposition of multivariate densities in Bayes spaces and relation with their copula-based representation. (2023). Nelehova, Johanna G ; Hron, Karel ; Genest, Christian. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:198:y:2023:i:c:s0047259x2300074x.

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2023.

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2023.

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2023Analysis of Key Factors Affecting Low-Carbon Travel Behaviors of Urban Residents in Developing Countries: A Case Study in Zhenjiang, China. (2023). Ji, Yuchuan ; Yang, Jincheng ; Pan, Dong ; Wei, Lingxiang ; Zhao, Pengfei. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:6:p:5375-:d:1100394.

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2023The expertise effect: the impact of legal specialists’ intervention on the timely delivery of laymens judgments. (2023). Nizza, Umberto. In: Economia Politica: Journal of Analytical and Institutional Economics. RePEc:spr:epolit:v:40:y:2023:i:2:d:10.1007_s40888-022-00277-5.

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2023Automatic robust Box–Cox and extended Yeo–Johnson transformations in regression. (2023). Corbellini, Aldo ; Atkinson, Anthony C ; Riani, Marco. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:32:y:2023:i:1:d:10.1007_s10260-022-00640-7.

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2023A further study comparing forward search multivariate outlier methods including ATLA with an application to clustering. (2023). Grose, Andrew ; Clarke, Brenton R. In: Statistical Papers. RePEc:spr:stpapr:v:64:y:2023:i:2:d:10.1007_s00362-022-01319-7.

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2023Bivariate densities in Bayes spaces: orthogonal decomposition and spline representation. (2023). Machalova, Jitka ; Hron, Karel ; Menafoglio, Alessandra. In: Statistical Papers. RePEc:spr:stpapr:v:64:y:2023:i:5:d:10.1007_s00362-022-01359-z.

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2023Aspects of robust canonical correlation analysis, principal components and association. (2023). Donato, Stella M ; Adrover, Jorge G. In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:testjl:v:32:y:2023:i:2:d:10.1007_s11749-023-00846-1.

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2024Discrete and Smooth Scalar-on-Density Compositional Regression for Assessing the Impact of Climate Change on Rice Yield in Vietnam. (2023). Trinh, Thi-Huong ; Simioni, Michel ; Thomas-Agnan, Christine. In: TSE Working Papers. RePEc:tse:wpaper:127847.

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2023Share-ratio interpretations of compositional regression models. (2023). THOMAS-AGNAN, Christine ; Dargel, Lukas. In: TSE Working Papers. RePEc:tse:wpaper:128262.

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2023Use of compositional covariates in linear regression: problems and solutions. (2023). Sutton, M ; Zhao, T ; Meacock, M. In: Health, Econometrics and Data Group (HEDG) Working Papers. RePEc:yor:hectdg:23/16.

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Works by Peter Filzmoser:


YearTitleTypeCited
2013Robust estimation of economic indicators from survey samples based on Pareto tail modelling In: Journal of the Royal Statistical Society Series C.
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article44
2007Robust fitting of mixtures using the trimmed likelihood estimator In: Computational Statistics & Data Analysis.
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article39
2008Outlier identification in high dimensions In: Computational Statistics & Data Analysis.
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article33
2010Imputation of missing values for compositional data using classical and robust methods In: Computational Statistics & Data Analysis.
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article11
2010Robust statistic for the one-way MANOVA In: Computational Statistics & Data Analysis.
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article2
2011Iterative stepwise regression imputation using standard and robust methods In: Computational Statistics & Data Analysis.
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article11
2012Robust joint modeling of mean and dispersion through trimming In: Computational Statistics & Data Analysis.
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article4
2012The least trimmed quantile regression In: Computational Statistics & Data Analysis.
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article5
2012Model-based replacement of rounded zeros in compositional data: Classical and robust approaches In: Computational Statistics & Data Analysis.
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article5
2016Simplicial principal component analysis for density functions in Bayes spaces In: Computational Statistics & Data Analysis.
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article22
2003Robust factor analysis In: Journal of Multivariate Analysis.
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article29
2009An Object-Oriented Framework for Robust Multivariate Analysis In: Journal of Statistical Software.
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article43
2010An Object-Oriented Framework for Statistical Simulation: The R Package simFrame In: Journal of Statistical Software.
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article10
2017Exploratory data analysis for interval compositional data In: Advances in Data Analysis and Classification.
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article0
2017Robust scale estimators for fuzzy data In: Advances in Data Analysis and Classification.
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article1
2018Clustering of imbalanced high-dimensional media data In: Advances in Data Analysis and Classification.
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article0
2018Outlier detection in interval data In: Advances in Data Analysis and Classification.
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article2
2019Robust and sparse k-means clustering for high-dimensional data In: Advances in Data Analysis and Classification.
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article3
2011Detection of multivariate outliers in business survey data with incomplete information In: Advances in Data Analysis and Classification.
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article4
2012Exploring incomplete data using visualization techniques In: Advances in Data Analysis and Classification.
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article5
2012A comparison of algorithms for the multivariate L 1 -median In: Computational Statistics.
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article4
2010A Comparison of Algorithms for the Multivariate L1-Median.(2010) In: Discussion Paper.
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This paper has nother version. Agregated cites: 4
paper
2012Discriminant analysis for compositional data and robust parameter estimation In: Computational Statistics.
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article1
2004Testing hypotheses with fuzzy data: The fuzzy p-value In: Metrika: International Journal for Theoretical and Applied Statistics.
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article12
2013Estimation of a proportion in survey sampling using the logratio approach In: Metrika: International Journal for Theoretical and Applied Statistics.
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article0
2000Orthogonal principal planes In: Psychometrika.
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article0
2011Robust variable selection with application to quality of life research In: Statistical Methods & Applications.
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article3
2011Simulation of close-to-reality population data for household surveys with application to EU-SILC In: Statistical Methods & Applications.
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article11
2014Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator In: Statistical Papers.
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article9
2014Identification of local multivariate outliers In: Statistical Papers.
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article5
2014Erratum to: Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator In: Statistical Papers.
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article9
2019Robust second-order least-squares estimation for regression models with autoregressive errors In: Statistical Papers.
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article2
2019Comments on: Compositional data: the sample space and its structure In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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article0
2012Linear regression with compositional explanatory variables In: Journal of Applied Statistics.
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article31
2014Simulation and quality of a synthetic close-to-reality employer--employee population In: Journal of Applied Statistics.
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article3
2017Exploratory tools for outlier detection in compositional data with structural zeros In: Journal of Applied Statistics.
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article2
2018A robust Parafac model for compositional data In: Journal of Applied Statistics.
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article0
2017Robust Maximum Association Estimators In: Journal of the American Statistical Association.
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article7
2000Robust methods for canonical correlation analysis In: ULB Institutional Repository.
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paper1
2000Outlier resistant estimators for canonical correlation analysis In: ULB Institutional Repository.
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paper3
2015Modeling Compositional Time Series with Vector Autoregressive Models In: Journal of Forecasting.
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article12
2018A Robust Approach to Risk Assessment Based on Species Sensitivity Distributions In: Risk Analysis.
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article0

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