Godambe, V. P.Goel, Prem K.Goetze, Friedrich, Electronic access to journals and articles, arXiv | Probability § | Jianhua Guo, Northeast Normal University: For his significant contributions to graphical models, causal inference, statistical genetics, and machine learning, and for his strong leadership in statistics education and development in China. LAS Dean's Professor Jae Kwang Kim and Associate Professor Lily Wang have been named Fellows of the Institute of Mathematical Statistics (IMS). Radu Craiu, chair of the Department of Statistical Sciences, has been named a Fellow of the Institute of Mathematical Statistics (IMS) — the premier organization of mathematical statisticians and probabilists in the world. We congratulate the 2020 Class of IMS Fellows, elected for their outstanding research record and service to the statistics/probability community. They are: Louigi Addario-Berry , McGill University: For fundamental contributions to probability, in particular to the topics of branching structures and random graphs, and for his devoted service to the mathematical sciences … Nomination: IMS Fellows Deadline: January 31, 2021. Statistics § Aguemon Yves Atchade, Boston University: For fundamental contributions to the theory and methods supporting computation in adaptive Markov chain Monte Carlo and in high-dimensional statistics. Fabrizio Ruggeri, CNR-IMATI, Italy: For innovations in theory and methods of stochastic modelling, Bayesian statistics, and decision analysis; for statistical applications in areas including reliability and industrial statistics; and for dedicated and distinguished leadership in the international professional statistics communities. Learn more about how you can contribute to the IMS. Yingying Fan, University of Southern California: For seminal contributions to high-dimensional inference, variable selection, classification, networks, and nonparametric methodology, particularly in the field of financial econometrics, and for conscientious professional service. Robert E. Weiss, University of California, Los Angeles: For several outstanding and fundamental contributions to the theory and methods related to Bayesian statistics and inference, longitudinal modeling and their numerous applications to medical sciences and public health. Alice Guionnet, CNRS-ENS, Lyon: For her contributions to the theory of random matrices and its link with free probability and large deviations. Prof. Yves Atchade named IMS Fellow by Institute of Mathematical Statistics. IMS Fellows. Jerry Reiter, Duke University: For significant research contributions to survey methodology, data confidentiality, and statistical imputation. Learn more about how you can contribute to the IMS. Peter F. Craigmile, The Ohio State University: For outstanding contributions to the study of time series models, long memory processes, and spatio-temporal processes; for influential cross-disciplinary contributions to climate change and psychology; and for dedicated services to the IMS and to the profession. JSTOR. Institute of Mathematical Statistics Fostering the development and dissemination of the theory and applications of statistics and probability. Johanna G. Nešlehová, McGill University: For fundamental contributions to multivariate statistics, in particular stochastic dependence modeling and extreme­-value theory; for promoting the sound application of statistics in risk management; for her editorial work; and for her service to the statistical profession. Jan Hannig, University of North Carolina at Chapel Hill: For broad and original contributions to probability and mathematical statistics, most particularly innovative development of the theory of generalized fiducial inference, the application of this theory to a wide range of important application areas, and the development of computational techniques for its implementation. Statistics § IMS general email: ims@imstat.org Yichao Wu, University of Illinois at Chicago: For innovative contributions to nonparametric statistics, functional data analysis, and high dimensional statistical learning, and for conscientious professional service. Van H. Vu, Yale University: For his ground-breaking contributions in random matrix theory, as well as concentration of random polynomials and matching in random hypergraphs. Francesca Dominici, Harvard University: For her contributions in Bayesian methods, and causal inference, for her study of the impact of air pollution and other climate change related exposure to human health, and for her leadership and service to our profession. Craiu was honoured with the prestigious award for his fundamental contributions to the methodology and theory of Markov chain Monte Carlo, diverse investigations into statistical … Danny Pfeffermann, Hebrew University of Jerusalem, Israel, and University of Southampton, UK: For fundamental methodological contributions to inference from complex surveys, small area estimation, seasonal adjustment and trend estimation, observational studies and NMAR nonresponse; and for his extended and distinguished record of leadership in the statistical profession. (1) a candidate of well-established leadership whose contributions to the field of statistics or probability other than original research shall be judged of equal value; or. Radu V. Craiu, University of Toronto: For fundamental contributions to the methodology and theory of MCMC, the statistical applications of copulas, statistical genetics and false discovery rates; for his editorial service; for mentorship of students; and for leadership in the unprecedented expansion of his department’s research complement. Wei Pan, University of Minnesota: For his important contributions to survival analysis, correlated data analysis, statistical learning, bioinformatics, and applications to biology and medicine, and for his dedicated services to the profession. Menu. Electronic access to journals and articles, arXiv | Probability § | Radu Craiu, chair of the Department of Statistical Sciences. Chenlei Leng, University of Warwick: For fundamental contributions to the theory and practice of high-dimensional statistics, statistical machine learning, model selection, and network data analysis. Marianna Pensky, University of Central Florida: For fundamental contributions to several areas of statistics including reliability, wavelet estimation, statistical inverse problems and high-dimensional statistics.

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