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Mathematics

D-Index
73
Citations
22429
World Ranking
232
National Ranking
131

Research.com Recognitions

  • 2006 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Hans-Georg Müller is affiliated with the University of California, Davis in the United States. Their research encompasses a range of topics primarily within the field of Mathematics, with a focus on Statistics and Probability, Artificial Intelligence, Applied Mathematics, Geometry and Topology, and Cognitive Neuroscience.

The scientist's main topics of work include:

  • Statistical Methods and Inference
  • Bayesian Methods and Mixture Models
  • Morphological variations and asymmetry
  • Statistical Methods and Bayesian Inference
  • Point processes and geometric inequalities
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications

Hans-Georg Müller's publication record includes frequent contributions to the following venues:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • The Annals of Statistics
  • Biometrics
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)

Recent notable papers by Müller include:

  • "Wasserstein Regression", 2021, Journal of the American Statistical Association
  • "Modeling sparse longitudinal data on Riemannian manifolds", 2020, Biometrics
  • "High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data", 2021, Journal of the American Statistical Association
  • "Total variation regularized Fréchet regression for metric-space valued data", 2021, The Annals of Statistics
  • "Single index Fréchet regression", 2023, The Annals of Statistics

Frequent co-authors of Müller include:

  • Yaqing Chen
  • Zhenhua Lin
  • Paromita Dubey
  • Yidong Zhou
  • Changbo Zhu

In recognition of contributions to the field, Hans-Georg Müller was named a Fellow of the American Association for the Advancement of Science (AAAS) in 2006.

Best Publications

  • Functional Data Analysis for Sparse Longitudinal Data

    Fang Yao;Hans-Georg Müller;Jane-Ling Wang

  • Local Polynomial Modeling and Its Applications

    Hans-Georg Muller;J. Fan;I. Gijbels

  • Kernel estimation of regression functions

    Theo Gasser;Hans-Georg Müller

  • Functional Data Analysis

    Jane-Ling Wang;Jeng-Min Chiou;Hans-Georg Müller

  • Functional linear regression analysis for longitudinal data

    Fang Yao;Hans-Georg Müller;Jane-Ling Wang

  • Generalized functional linear models

    Hans-Georg Müller;Ulrich Stadtmüller

  • Estimating regression functions and their derivatives by the kernel method

    T. Gasser;H.-G. Muller

  • Nonparametric regression analysis of longitudinal data

    Hans-Georg Müller

  • Properties of principal component methods for functional and longitudinal data analysis

    Peter Hall;Hans-Georg Müller;Jane-Ling Wang

  • CHANGE-POINTS IN NONPARAMETRIC REGRESSION ANALYSIS'

    Hans-Georg Muller

  • Hazard rate estimation under random censoring with varying kernels and bandwidths.

    Hans-Georg Muller;Jane-Ling Wang

  • Estimation of Heteroscedasticity in Regression Analysis

    Hans-Georg Muller;Ulrich Stadtmuller

  • Smooth optimum kernel estimators near endpoints

    Hans-Georg Müller

  • Single and multiple index functional regression models with nonparametric link

    Dong Chen;Peter Hall;Hans-Georg Müller

  • Functional Additive Models

    Hans-Georg Müller;Fang Yao

  • Weighted Local Regression and Kernel Methods for Nonparametric Curve Fitting

    Hans-Georg Müller

  • Nonparametric Regression Analysis of Growth Curves

    Theo Gasser;Hans-Georg Muller;Walter Kohler;Luciano Molinari

  • Statistical methods for DNA sequence segmentation

    Jerome V. Braun;Hans-Georg Müller

  • Classification using functional data analysis for temporal gene expression data

    Xiaoyan Leng;Hans-Georg Müller

  • Change-point problems

    Edward G. Carlstein;Hans-Georg Müller;David Siegmund

  • Functional Modelling and Classification of Longitudinal Data

    Hans‐Georg Müller

Frequent Co-Authors

Jane-Ling Wang
Jane-Ling Wang University of California, Davis
Alois Kneip
Alois Kneip University of Bonn
George A. Kaysen
George A. Kaysen University of California, Davis
Sean C.L. Deoni
Sean C.L. Deoni Brown University
Linda Partridge
Linda Partridge Max Planck Society
Ming-Cheng Luo
Ming-Cheng Luo University of California, Davis
Frank M. You
Frank M. You Agriculture and Agriculture-Food Canada
James W. Vaupel
James W. Vaupel University of Southern Denmark
Katrien M. Devos
Katrien M. Devos University of Georgia
Jan Dvorak
Jan Dvorak University of California, Davis

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