Beijing Institute of Mathematical Sciences and Applications Beijing Institute of Mathematical Sciences and Applications

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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > Bayesian Learning and Bayesian Computation
Bayesian Learning and Bayesian Computation
This is a graduate course for students and researchers who want to learn Bayesian modeling and data analysis using Bayesian techniques. Also the advanced Bayesian computation methods, for example, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods will be discussed in detail.
Professor Lars Aake Andersson
Lecturer
Kiranmoy Das
Date
11th March ~ 17th May, 2024
Location
Weekday Time Venue Online ID Password
Monday,Wednesday,Friday 15:15 - 16:45 A3-1-103 ZOOM 08 787 662 9899 BIMSA
Prerequisite
Probability Distributions, Statistical Inference, Regression Techniques
Syllabus
Bayesian Statistics, Bayesian Estimation, Model building, Hierarchical Bayes, Monte Carlo methods, Markov Chain Monte Carlo, Bayesian model selection, Analysis of dependent data using Bayesian modeing, Nonparametric Bayes, Dirichlet Process (DP), Hierarchical DP
Reference
1. Bayesian Data Analysis by Gelman, Carlin, Stern, Dunson, Vehtari, and Rubin. CRC Press.
2. Applied Bayesian Hierarchical Methods by Peter Congdon. CRC Press. CRC Press.
3. Introducing Monte Carlo Methods with R by Robert and Casella. Springer.

Audience
Graduate
Video Public
Yes
Notes Public
Yes
Language
English
Lecturer Intro
Prof. Kiranmoy Das obtained his PhD from The Pennsylvania State University, Statistics Department, and has taught in Temple University (USA), Presidency University (India), Indian Statistical Institute (India). He has published nearly 50 research articles in Statistics, Medical Sciences, Computer Science and Biology, has supervised 2 PhD and more than 30 MS students. He has joined BIMSA as a professor in August 2023. His research interests include Bayesian modeling, Longitudinal data analysis, Biostatistics, Statistical Computing, Wireless Communications.
Beijing Institute of Mathematical Sciences and Applications
CONTACT

No. 544, Hefangkou Village Huaibei Town, Huairou District Beijing 101408

北京市怀柔区 河防口村544号
北京雁栖湖应用数学研究院 101408

Tel. 010-60661855 Tel. 010-60661855
Email. administration@bimsa.cn

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