Kjell A. Doksum

University of Wisconsin–Madison — United States

Mathematics · Physical Sciences

34h-index7.9kcitations122works0.02yr avg
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Research Topics

Statistical Methods and Inference(62), Advanced Statistical Methods and Models(47), Statistical Methods and Bayesian Inference(30), Statistical Distribution Estimation and Applications(23), Bayesian Methods and Mixture Models(17)

Publications122 total

Ensemble Linear Subspace Analysis of High-Dimensional Data
Entropy·2021· 4 citedOpen Access
An Analysis of Extremes: Semiparametric Efficiency in Regression
SpringerBriefs in statistics·2021
Mathematical Statistics : Basic Ideas and Selected Topics, Volume II
2019· 4 cited
Nearest neighbor estimates of regression
Computational Statistics & Data Analysis·2017· 2 cited
FOR ONE-SAMPLE RANK TESTS
2016
Mathematical Statistics
2015· 69 cited
TOOLS FOR ASYMPTOTIC ANALYSIS
2015
NONPARAMETRIC INFERENCE FOR FUNCTIONS OF ONE VARIABLE
2015
INFERENCE IN SEMIPARAMETRIC MODELS
2015
Mathematical Statistics
2015· 137 cited
Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition
2015· 10 cited
Mathematical Statistics
2015· 71 cited
Nonparametric variable selection and classification: The CATCH algorithm
RePEc: Research Papers in Economics·2015
Shrinkage, pretest, and penalty estimators in generalized linear models
Statistical Methodology·2014· 25 cited
Correlation Curves
Wiley StatsRef: Statistics Reference Online·2014
A semiparametric inverse‐Gaussian model and inference for survival data with a cured proportion
Canadian Journal of Statistics·2014· 11 cited
Principal Component Analysis (PCA) for high-dimensional data. PCA is dead. Long live PCA
Contemporary mathematics - American Mathematical Society·2014· 8 cited
Nonparametric variable selection and classification: The CATCH algorithm
Computational Statistics & Data Analysis·2013
A new class of semiparametric transformation models based on first hitting times by latent degradation processes
Stat·2013· 2 cited
Asymptotic optimality of Hodges-Lehmann inverse rank likelihood estimators
Statistical Modelling·2013· 2 cited
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Frequent Co-authors

Peter J. Bickel(8), S. Ejaz Ahmed(5), Shakhawat Hossain(4), Arnljot Høyland(3), Dorota M. Dabrowska(3), Steinar Bjerve(3), Rolf Aaberge(3), Alexander Samarov(2), Gerald L. Sievers(2), Stephen Blyth(2), Eric T. Bradlow(2), Hongyu Zhao(2), C. B. Bell(2), Kenneth W. Wachter(1), R. V. Hogg(1), A. T. Craig(1), Paul G. Hoel(1), Probal Chaudhuri(1), Bo Henry Lindqvist(1), Sharon‐Lise T. Normand(1)