Peter Rousseeuw : Citation Profile


Are you Peter Rousseeuw?

KU Leuven

10

H index

10

i10 index

328

Citations

RESEARCH PRODUCTION:

42

Articles

5

Papers

1

Chapters

RESEARCH ACTIVITY:

   36 years (1984 - 2020). See details.
   Cites by year: 9
   Journals where Peter Rousseeuw has often published
   Relations with other researchers
   Recent citing documents: 23.    Total self citations: 11 (3.24 %)

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   Permalink: http://citec.repec.org/pro350
   Updated: 2020-10-24    RAS profile: 2020-05-01    
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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 Rousseeuw.

Is cited by:

Cizek, Pavel (10)

tansel, aysıt (8)

Akarca, Ali (8)

Mosler, Karl (7)

Riani, Marco (5)

Verardi, Vincenzo (5)

METAXAS, THEODORE (5)

Usabiaga, Carlos (4)

Gassner, Marjorie (4)

Dehon, Catherine (4)

Caraballo, M. Angeles (4)

Cites to:

Weil, David (2)

Mosler, Karl (2)

Mankiw, N. Gregory (2)

Cecchetti, Stephen (2)

Matea Rosa, María (2)

Paindaveine, Davy (2)

Romer, David (2)

Vanhoudt, Patrick (2)

Hallin, Marc (2)

yates, anthony (2)

Tsiddon, Daniel (1)

Main data


Where Peter Rousseeuw has published?


Journals with more than one article published# docs
Computational Statistics & Data Analysis14
Journal of Multivariate Analysis8
Statistics & Probability Letters4
Advances in Data Analysis and Classification3
Statistical Methods & Applications3

Working Papers Series with more than one paper published# docs
Technical Reports / Technische Universitt Dortmund, Sonderforschungsbereich 475: Komplexittsreduktion in multivariaten Datenstrukturen2

Recent works citing Peter Rousseeuw (2020 and 2019)


YearTitle of citing document
2019Models where the Least Trimmed Squares and Least Median of Squares estimators are maximum likelihood. (2019). Johansen, Soren ; Nielsen, Bent ; Berenguer-Rico, Vanessa. In: CREATES Research Papers. RePEc:aah:create:2019-15.

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2019Multivariate expectile trimming and the BExPlot. (2019). Fernandez, Ignacio Cascos ; Ochoa, Maicol Jesus. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:28434.

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2019Directional outlyingness for multivariate functional data. (2019). Dai, Wenlin ; Genton, Marc G. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:131:y:2019:i:c:p:50-65.

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2019Robust depth-based estimation of the functional autoregressive model. (2019). Martinez-Hernandez, Israel ; Gonzalez-Farias, Graciela ; Genton, Marc G. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:131:y:2019:i:c:p:66-79.

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2019Default priors for the intercept parameter in logistic regressions. (2019). Sen, Ananda ; Barbaro, Ryan P ; Boonstra, Philip S. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:133:y:2019:i:c:p:245-256.

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2020Functional outlier detection and taxonomy by sequential transformations. (2020). Genton, Marc G ; Sun, Ying ; Mrkvika, Toma ; Dai, Wenlin. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:149:y:2020:i:c:s0167947320300517.

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2020Jump probability using volatility periodicity filters in US Dollar/Euro exchange rates. (2020). Yi, Chae-Deug. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:53:y:2020:i:c:s1062940820300814.

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2019Do market rents reflect user costs?. (2019). Buyst, Erik ; Goeyvaerts, Geert. In: Journal of Housing Economics. RePEc:eee:jhouse:v:44:y:2019:i:c:p:112-130.

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2019Robust sieve estimators for functional canonical correlation analysis. (2019). Kudraszow, Nadia ; Boente, Graciela ; Alvarez, Agustin. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:170:y:2019:i:c:p:46-62.

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2019Robust functional regression based on principal components. (2019). van Aelst, Stefan ; Kalogridis, Ioannis. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:173:y:2019:i:c:p:393-415.

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2020Independent component analysis for multivariate functional data. (2020). Virta, Joni ; Oja, Hannu ; Nordhausen, Klaus ; Li, Bing. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:176:y:2020:i:c:s0047259x19300223.

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2020Large sample properties of the regression depth induced median. (2020). Zuo, Yijun. In: Statistics & Probability Letters. RePEc:eee:stapro:v:166:y:2020:i:c:s0167715220301826.

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2019Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources. (2019). Nan, Fany ; Grossi, Luigi. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:141:y:2019:i:c:p:305-318.

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2020Maritime cluster research: Evolutionary classification and future development. (2020). Xu, Dong ; Li, Huan ; Jiang, Haizhou ; Shi, Xin. In: Transportation Research Part A: Policy and Practice. RePEc:eee:transa:v:133:y:2020:i:c:p:237-254.

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2019Models where the Least Trimmed Squares and Least Median of Squares estimators are maximum likelihood. (2019). Johansen, Soren ; Nielsen, Bent ; Berenguer-Rico, Vanessa. In: Discussion Papers. RePEc:kud:kuiedp:1911.

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2019Models where the Least Trimmed Squares and Least Median of Squares estimators are maximum likelihood. (2019). Nielsen, Bent ; Johansen, Soren ; Berenguer-Rico, Vanessa. In: Economics Papers. RePEc:nuf:econwp:1905.

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2019Models where the Least Trimmed Squares and Least Median of Squares estimators are maximum likelihood. (2019). Johansen, Soren ; Nielsen, Bent ; Rico, Vanessa Berenguer ; BerenguerRico, Vanessa . In: Economics Series Working Papers. RePEc:oxf:wpaper:879.

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2019New distance measures for classifying X-ray astronomy data into stellar classes. (2019). Getman, Konstantin ; Carcamo, Javier ; Baillo, Amparo. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:2:d:10.1007_s11634-018-0309-2.

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2020The impact of blockchain technology on business models – a taxonomy and archetypal patterns. (2020). Hermes, Sebastian ; Hein, Andreas ; Mandalenakis, Michael ; Weking, Jorg ; Krcmar, Helmut ; Bohm, Markus. In: Electronic Markets. RePEc:spr:elmark:v:30:y:2020:i:2:d:10.1007_s12525-019-00386-3.

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2020A hierarchical taxonomy of business model patterns. (2020). Krcmar, Helmut ; Bohm, Markus ; Hein, Andreas ; Weking, Jorg. In: Electronic Markets. RePEc:spr:elmark:v:30:y:2020:i:3:d:10.1007_s12525-018-0322-5.

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2020Core Clustering as a Tool for Tackling Noise in Cluster Labels. (2020). Mirkin, Boris ; Makarenkov, Vladimir ; Amorim, Renato Cordeiro . In: Journal of Classification. RePEc:spr:jclass:v:37:y:2020:i:1:d:10.1007_s00357-019-9303-4.

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2020Some results on the computing of Tukey’s halfspace median. (2020). Zuo, Yijun ; Luo, Shihua ; Liu, Xiaohui. In: Statistical Papers. RePEc:spr:stpapr:v:61:y:2020:i:1:d:10.1007_s00362-017-0941-5.

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2020Component-wise outlier detection methods for robustifying multivariate functional samples. (2020). Ieva, Francesca ; Paganoni, Anna Maria. In: Statistical Papers. RePEc:spr:stpapr:v:61:y:2020:i:2:d:10.1007_s00362-017-0953-1.

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Works by Peter Rousseeuw:


YearTitleTypeCited
2004Comment In: Journal of the American Statistical Association.
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article0
2003Inflation, relative prices and nominal rigidities In: BIS Papers chapters.
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chapter20
2002Inflation, relative prices and nominal rigidities.(2002) In: Working Paper Research.
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This paper has another version. Agregated cites: 20
paper
1996Bivariate Location Depth In: Journal of the Royal Statistical Society Series C.
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article1
1988A robust scale estimator based on the shortest half In: Statistica Neerlandica.
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article1
1991A diagnostic plot for regression outliers and leverage points In: Computational Statistics & Data Analysis.
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article1
1992A comparison of some quick algorithms for robust regression In: Computational Statistics & Data Analysis.
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article2
1994Robust regression with a distributed intercept using least median of squares In: Computational Statistics & Data Analysis.
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article6
1996Regression-free and robust estimation of scale for bivariate data In: Computational Statistics & Data Analysis.
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article3
1996Preface In: Computational Statistics & Data Analysis.
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article0
1996Fuzzy clustering using scatter matrices In: Computational Statistics & Data Analysis.
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article5
1996Computing depth contours of bivariate point clouds In: Computational Statistics & Data Analysis.
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article13
1997Integrating robust clustering techniques in S-PLUS In: Computational Statistics & Data Analysis.
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article7
1999Displaying a clustering with CLUSPLOT In: Computational Statistics & Data Analysis.
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article1
2000High-dimensional computation of the deepest location In: Computational Statistics & Data Analysis.
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article7
2001Measuring overlap in binary regression In: Computational Statistics & Data Analysis.
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article9
2002Robust estimation in very small samples In: Computational Statistics & Data Analysis.
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article2
2003Robustness against separation and outliers in logistic regression In: Computational Statistics & Data Analysis.
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article7
2009Robust PCA for skewed data and its outlier map In: Computational Statistics & Data Analysis.
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article9
2001Econometric applications of high-breakdown robust regression techniques In: Economics Letters.
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article51
2000Econometric applications of high-breakdown robust regression techniques.(2000) In: MPRA Paper.
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paper
2019Robust Monitoring of Time Series with Application to Fraud Detection In: Econometrics and Statistics.
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article5
1984Applying robust regression to insurance In: Insurance: Mathematics and Economics.
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article5
2019A generalized spatial sign covariance matrix In: Journal of Multivariate Analysis.
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article0
1994Asymptotics of Generalized S-Estimators In: Journal of Multivariate Analysis.
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article22
1995The Repeated Median Intercept Estimator: Influence Function and Asymptotic Normality In: Journal of Multivariate Analysis.
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article0
1998The Catline for Deep Regression In: Journal of Multivariate Analysis.
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article3
1999Halfspace Depth and Regression Depth Characterize the Empirical Distribution In: Journal of Multivariate Analysis.
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article17
2000Robustness of Deepest Regression In: Journal of Multivariate Analysis.
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article5
2002The Deepest Regression Method In: Journal of Multivariate Analysis.
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article13
2003Robust factor analysis In: Journal of Multivariate Analysis.
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article25
1993A resampling design for computing high-breakdown regression In: Statistics & Probability Letters.
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article4
1994Unconventional features of positive-breakdown estimators In: Statistics & Probability Letters.
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article5
1994The bias of k-step M-estimators In: Statistics & Probability Letters.
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article9
2001Robust estimation of the conditional median function at elliptical models In: Statistics & Probability Letters.
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article3
1990Robust Regression with a Distributed Intercept Using Least Median of Squares: Theory and Application to Earnings Functions with Dummy Variables for Sectors In: Hannover Economic Papers (HEP).
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paper0
1997Clustering in an Object-Oriented Environment In: Journal of Statistical Software.
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article12
2000The Competitive Advantage of Seaports In: Maritime Economics & Logistics.
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article5
2017Multivariate and functional classification using depth and distance In: Advances in Data Analysis and Classification.
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article4
2020Clustering genomic words in human DNA using peaks and trends of distributions In: Advances in Data Analysis and Classification.
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article0
2010Special Issue on Robust Methods for Classification and Data Analysis In: Advances in Data Analysis and Classification.
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2015Multivariate functional outlier detection In: Statistical Methods & Applications.
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article20
2015Rejoinder to ‘multivariate functional outlier detection’ In: Statistical Methods & Applications.
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article19
2018Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” In: Statistical Methods & Applications.
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2014Shape bias of robust covariance estimators: an empirical study In: Statistical Papers.
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article2
2015Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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article1
1999Measuring overlap in logistic regression In: Technical Reports.
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paper4
2001The hidden logistic regression model In: Technical Reports.
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paper0

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