Anandamayee Majumdar
Assistant Professor in the Department of Mathematics, College of Science & Engineering, San Francisco State University
Bio
Anandamayee Majumdar works at the Department of Mathematics, College of Science & Engineering, San Francisco State University, CA, US. Anandamayee finished her Ph.D. and M.S. in Statistics at the University of Connecticut and Michigan State University, respectively. Moreover, she received a master's degree in mathematical statistics and probability and a bachelor's in statistics from the Indian Statistical Institute (I.S.I.).
Research Interests:
Space-Time Processes
Bayesian Computation
Statistics in the interface of Biology, Health, Environmental Sustainability, Ecology, Economics, Finance, Business, and Industry
Prospective Students:
I am currently looking for enthusiastic students (both undergrad and grad) to work with me in various research projects. If you are interested in any of my research topics, please feel free to send me an email with your resume and transcripts.
Research Topics:
For the last decade and longer I have been conducting research on diverse topics of statistics while collaborating with Statisticians, Econometricians, and other scientists.
My research interests include spatial processes and space-time processes. Some of this data is difficult to explain and predict due to missing observations, or inherent variability that can not be explained by spatial covariates alone. Sometimes there are more than one variables that are being studied together that are associated. Data can be both numerical or categorical. Then there are challenges when different sources of data have to be combined to get better predictions. Sometimes there are changepoints in time. Statistical modeling is useful in such cases because it utilizes the available data to build efficient and possibly robust probability models that can make sense and be used for future projections. Also sometimes there are null responses in datasets, and understanding these responses are also important in mixed modeling scenarios since they can not be understood using regular models. In the past, I had been working with studying such data with various challenges. I have also used robust modeling that can predict extreme values in multivariate processes. I have also used non-parametric and semi-parametric modeling (quantile and expectile regression) for time series and space-time data.
I am currently focused on building robust models for better prediction when adjacency (of space-time) information alone can not explain the data. Incorporating expert opinion directly into the model is then important; I am exploring the field of space-time models where this can be done. I am also interested in public health data that is new and emerging, where there are many open questions about the public health preferences of individuals in the population.
Professional Experience:
Assistant Professor of Statistics, Department of Mathematics, San Francisco State University, CA, August 2023 - Present
Associate Editor, Applied Stochastic Modeling in Business and Industry April 2022 - Present
Senior Statistician, Inter-American Tropical Tuna Commission, USA, Nov 2021 - July 2023
Professor of Statistics, Independent University, Bangladesh, Jan 2020 - Sep 2021 Department of Physical Sciences, School of Engineering Science & Technology
Visiting Researcher, University of California at Davis, USA, Jun 2018 Department of Statistics
Professor of Statistics, North South University, Bangladesh, Aug 2015 - May 2019 School of Business
Distinguished Professor of Statistics, Soochow University, China, Feb 2013 - Aug 2015 Center of Advanced Statistics and Econometrics
Education:
Ph. D. in Statistics, 2004 (University of Connecticut Storrs, CT, USA)
M. S. in Statistics, 2001 (Michigan State University East Lansing, MI, USA)
M.Stat. (Master’s) in Mathematical Statistics and Probability, 1998 (Indian Statistical Institute (I. S. I.), Calcutta Kolkata, India)
B.Stat. (Bachelor’s) in Statistics, 1996 (Indian Statistical Institute (I. S. I.), Calcutta Kolkata, India)
Professional Activities:
Editorial Services:
Associate Editor, Applied Stochastic Modeling in Business and Industry. April 2022 - Present
Associate Editor, International Journal of Data Analysis Techniques and Strategies (IJDATS)
Reviewing International Statistical and Interdisciplinary Journals:
Computational Statistics and Data Analysis
Journal of Business and Economic Statistics
Journal of Nonparametric Statistics
Annals of Applied Statistics
Biostatistics
Ecological Applications
Environmental and Ecological Statistics
Journal of Statistical Planning and Inference
Journal of the Royal Statistical Society
Soil Society of America Journal
Empirical Economics
Journal of Indian Statistical Association
Journal of Korean Statistical Association
Professional Memberships:
The International Society for Bayesian Analysis
The American Statistical Association
The Institute of Mathematical Statistics
University Committees:
Member (Elected) Interdisciplinary M.S. program committee on Statistics, Arizona State University, USA (2004 - 2009)
Member (Elected) Interdisciplinary Ph.D. program committee on Statistics, Arizona State University, USA (2008 - 2009)
Department Committees:
Member, Math 896 / Culminating Experience, San Francisco State University. Fall 2023.
Member, Awards Committee, Arizona State University, USA (2008-2009)
Member, Affirmative Action Committee, Arizona State University, USA (2004 - 2008)
Member, Ph. D. qualifier committee for Probability Exam, Arizona State University, USA Dec 2008,
Dec 2007, Aug 2007, Jan 2007, (Chair), Dec 2006, Aug 2006, May 2006, Dec 2005, Aug 2005, May 2005 (Chair), Dec 2004
Member, Ph. D. qualifier committee for Mathematical Statistics Exam, Dec 2008
Contact
San Francisco State University, Department of Mathematics, 1600 Holloway Avenue, San Francisco, CA 94132
Phone: TBD
Email: amajumdar (at) sfsu.edu