Muni S. Srivastava is affiliated with the University of Toronto in Canada and specializes in Mathematics, with a focus on Statistics and Probability as well as Artificial Intelligence. Their research primarily addresses topics related to statistical methods and inference, Bayesian methods and mixture models, statistical distribution estimation and applications, and survey sampling and estimation techniques.
The scientist's recent publication record includes three papers spanning the years 2021 to 2025. These papers cover diverse areas within statistics and applied mathematics:
Srivastava frequently collaborates with several co-authors, including:
These collaborations have resulted in publications featured in several academic journals. The most common venues for their work are:
Srivastava's research contributions intersect several main topics within the field of statistics. These include methods and inference, Bayesian modeling techniques, estimation of statistical distributions, and approaches for handling missing data in survey sampling. Their work engages with both theoretical aspects and applied methodologies.
The scientist was recognized as a Fellow of the American Statistical Association (ASA) in 1986, an acknowledgment of professional standing within the field of statistics.
Ashish K. Sen;M. S. Srivastava
Ashish Sen;Muni S. Srivastava
Muni S. Srivastava
Muni S. Srivastava
Muni S. Srivastava;Meng Du
Rudolf Beran;Muni S. Srivastava
M. S. Srivastava;E. M. Carter
M. S. Srivastava;Yanhong Wu
M.S. Srivastava
M. S. Srivastava;K. J. Worsley
M.S. Srivastava
Muni S. Srivastava;Hirokazu Yanagihara
M. S. Srivastava;T. von Rosen;T. von Rosen;D. von Rosen
M. S. Srivastava
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Muni S. Srivastava;Shota Katayama;Yutaka Kano
M.S Srivastava;T.K Hui
M. S. Srivastava
Ashish Sen;Muni S. Srivastava
Muni S. Srivastava;Hirokazu Yanagihara;Tatsuya Kubokawa
Muni S. Srivastava;Yasunori Fujikoshi
Muni S. Srivastava;Tatjana Nahtman;Dietrich von Rosen
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