Search site

with
IMS arXiv
Electronic access to journals and articles

arXiv
Probability section
Statistics section
Project Euclid
JSTOR

 

IMS Journals and Publications

Annals of Statistics
Annals of Applied Statistics
Annals of Probability
Annals of Applied Probability
Statistical Science
IMS Bulletin
Lecture Notes - Monograph Series
NSF-CBMS Regional Conference Series
IMS Collections
IMS Monographs and IMS Textbooks

IMS Co-sponsored Journals and Publications
Current Index to Statistics
Electronic Communications in Probability
Electronic Journal of Probability
Electronic Journal of Statistics
Journal of Computational and Graphical Statistics
Probability Surveys
Statistics Surveys

IMS Affiliated Journals
Observational Studies
Probability and Mathematical Statistics
Stochastic Systems

IMS Supported Journals
ALEA - Latin American Journal of Probability and Mathematical Statistics
Annales de l'Institut Henri Poincaré
Bayesian Analysis
Bernoulli
Brazilian Journal of Probability and Statistics
   
   
 
   
   
 

2015 IMS Fellows Announced

created 20  May  2015

The IMS announces the class of new IMS Fellows for 2015, who will be presented at the IMS Presidential Address and Awards session at JSM in Seattle. Congratulations, to the following new Fellows!

Sudipto Banerjee, University of California, Los Angeles
For outstanding methodological contributions to the field of spatial and spatio-temporal statistics and for his vibrant interest in challenging environmental and biomedical applications.

Noureddine El Karoui, University of California, Berkeley
For fundamental contributions to statistical methods in high dimension, especially in the study of high-dimensional sample covariance matrices with sparse entries

Peter Guttorp, University of Washington
For influential contributions to inference for stochastic processes, spatial statistics and time series having a profound impact in environmental science and biology; and for leadership in strengthening statistics' link to the atmospheric and climate sciences.

Ben Hambly, University of Oxford
For fundamental contributions to probability theory, and in particular to our understanding of random motions in random graphs and random environments.

Yaozhong Hu, University of Kansas
For fundamental research in stochastic calculus for fractional Brownian motion; and for influential work in stochastic partial differential equations.

Davar Khoshnevisan, University of Utah
For outstanding work in the theory of stochastic processes, in particular: geometric and asymptotic properties of random fields, and chaotic behavior of stochastic partial differential equations.

Axel Munk, Georg August Univ Göttingen & Max Planck Institute for Biophysical Chemistry, For ground-breaking contributions to change-point problems, fundamental research in inverse problems and its applications to biophysics, influential work on data analysis on manifolds and fingerprints, and leadership in German statistical community.

Douglas William Nychka, National Center for Atmospheric Research
For outstanding theoretical contributions to nonparametric regression and the statistical analysis of dynamical systems; for development of widely used statistical software; for leadership in statistical climatology research and advocacy for statistics.

Igor Prünster, Università di Torino & Collegio Carlo Alberto
For groundbreaking research on discrete random measures and their applications, and for outstanding service to the profession.

Gesine Reinert, University of Oxford
For fundamental contributions to probability and asymptotic statistics, and for and deep and important applications in the life sciences.

Sylvia Richardson, University of Cambridge and MRC Biostatistics Unit
For influential research in spatial statistics, hierarchical modeling, mixture models; for applications in biomedical science, epidemiology and genomics, and for service to the profession.

Judith Rousseau, Université Paris Dauphine
For fundamental contributions to Bayesian statistics, including Bernstein-von Mises theorems and Bayesian nonparametrics, and for outstanding service to the community.

Laurent Younes, Johns Hopkins University,
For fundamental contributions to the mathematical and statistical foundations of shape and image analysis; and for new methodology implemented in large and important medical imaging studies.

Ming Yuan, University of Wisconsin at Madison
For fundamental contributions to nonparametric function estimation and high-dimensional statistical inference.

Tong Zhang, Rutgers University
For influential contributions to statistical theory and methodology, especially in statistical machine learning and high dimensional data.

Ji Zhu, University of Michigan-Ann Arbor
For outstanding research accomplishments on statistical learning.

Hui Zou, University of Minnesota
For fundamental contributions to high-dimensional statistics, machine learning and statistical computing and for excellent editorial service.

Click here to return to IMS News.