Moulinath (Mouli) Banerjee [1] (born 1974) is an Indian statistician at the University of Michigan.
Banerjee completed his bachelor's and master's in statistics at the Indian Statistical Institute in 1995 and 1997, respectively, [1] then authored a doctoral dissertation, Likelihood Ratio Inference in Regular and Nonregular Problems in 2000, advised by Jon A. Wellner of the University of Washington. [2] Banerjee remained in Washington as a lecturer until joining the University of Michigan faculty in 2001. [1]
Banerjee's research interests comprise non-standard statistical models, shape-constrained methods, empirical process theory, distributed computing, and meta-learning. Apart from his statistical pursuits, he takes an avid interest in classical music, fine dining, literature, and philosophy, and together with a co-author has published a new translation of the Rubaiyat of Omar Khayyam from the original Persian.
In 2017, Banerjee was elected a fellow of the Institute of Mathematical Statistics (IMS). [3] [4] The following year, the American Statistical Association elected him to an equivalent honor. [5] Banerjee will deliver one of the prestigious IMS Medallion Lectures in 2024 and is serving as Editor of IMS's primary review journal, Statistical Science, from 2023 to 2025.
Stephen Elliott Fienberg was a Professor Emeritus in the Department of Statistics, the Machine Learning Department, Heinz College, and Cylab at Carnegie Mellon University. Fienberg was the founding co-editor of the Annual Review of Statistics and Its Application and of the Journal of Privacy and Confidentiality.
Tianwen Tony Cai is a Chinese statistician. He is the Daniel H. Silberberg Professor of Statistics and Vice Dean at the Wharton School of the University of Pennsylvania. He is also professor of Applied Math & Computational Science Graduate Group, and associate scholar at the Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania. In 2008 Tony Cai was awarded the COPSS Presidents' Award.
Jayanta Kumar Ghosh was an Indian statistician, an emeritus professor at Indian Statistical Institute and a professor of statistics at Purdue University.
Andrew Eric Gelman is an American statistician and professor of statistics and political science at Columbia University.
Rahul Mukerjee is an Indian academic and statistician. He is a National Science Chair of the Government of India, hosted by the Indian Institute of Management Calcutta, after his superannuation from the same institute in 2021 as a professor in the higher academic grade. He is also an emeritus scientist of the Indian National Science Academy, New Delhi.
Chien-Fu Jeff Wu is the Coca-Cola Chair in Engineering Statistics and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He is known for his work on the convergence of the EM algorithm, resampling methods such as the bootstrap and jackknife, and industrial statistics, including design of experiments, and robust parameter design.
Xihong Lin is a Chinese–American statistician known for her contributions to mixed models, nonparametric and semiparametric regression, and statistical genetics and genomics. As of 2015, she is the Henry Pickering Walcott Professor and Chair of the Department of Biostatistics at Harvard T.H. Chan School of Public Health and Coordinating Director of the Program in Quantitative Genomics.
Malay Ghosh is an Indian statistician and currently a Distinguished Professor at the University of Florida. He obtained a B.S. in 1962 from the University of Calcutta, and subsequently a M.A. in 1964 from the University of Calcutta. Then he moved to the United States to pursue higher academic studies and obtained his Ph.D. degree in 1969 from the University of North Carolina at Chapel Hill, under the supervision of Pranab K. Sen.
Xuming He is Professor and Inaugural Chair of Statistics and Data Science at the Washington University in St. Louis. He serves as President (2023-2025) of the International Statistical Institute.
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Sudipto Banerjee is an Indian-American statistician best known for his work on Bayesian hierarchical modeling and inference for spatial data analysis. He is Professor of Biostatistics and Senior Associate Dean in the School of Public Health at the University of California, Los Angeles. He served as the Chair of the Department of Biostatistics at UCLA from 2014 through 2023. He also served as the 2022 President of the International Society for Bayesian Analysis.
Neena Gupta is a professor at the Statistics and Mathematics Unit of the Indian Statistical Institute (ISI), Kolkata. Her primary fields of interest are commutative algebra and affine algebraic geometry.
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Elizaveta (Liza) Levina is a Russian and American mathematical statistician. She is the Vijay Nair Collegiate Professor of Statistics at the University of Michigan, and is known for her work in high-dimensional statistics, including covariance estimation, graphical models, statistical network analysis, and nonparametric statistics.
Michael Barrett Woodroofe was an American probabilist and statistician. He was a professor of statistics and of mathematics at the University of Michigan, where he was the Leonard J. Savage Professor until his retirement. He was noted for his work in sequential analysis and nonlinear renewal theory, in central limit theory, and in nonparametric inference with shape constraints.
Huixia Judy Wang is a statistician who works as a professor of statistics at George Washington University. Topics in her research include quantile regression and the application of biostatistics to cancer.
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