7月11日-12日Radu V.Craiu(University of Toronto)短期课程
 
  发布时间: 2017-06-15  
 


 

  

短期课程

  

  

  

主讲内容Bayesian Statistical Computation

 人Professor Radu V. Craiu

Department of Statistical Sciences,

University of Toronto

http://www.utstat.toronto.edu/craiu/

时 间:711(星期)8:30-11:30 712日(星期三)8:30-11:30

地 点:统计研究院426教室

Topic Content

The aim of this short course is to introduce the participants to the fundamentals as well as some of the recent advances in Bayesian computation. The course will focus on the class of Markov chain Monte Carlo (MCMC) algorithms, including the recent additions of Adaptive MCMC in which the transition kernel of the chain is modified on the fly. We will also discuss some of the available solutions for Bayesian computation for Big Data. The methods will be illustrated with simulations and numerical applications. The course will close with open questions relevant for theoreticians and practitioners.

Short Bio of Professor Radu V. Craiu

Dr. Radu V. Craiu is a Full Professor and the incoming Associate Chair for Graduate Affairs in the Department of Statistical Sciences at the University of Toronto. He studied Mathematics at the University of Bucharest (BS 1995, MS 1996) and received a PhD from the Department of Statistics at The University of Chicago in 2001. He was trained to improve the efficiency of sampling algorithms, prove their theoretical validity and build new ones when needed. His main research interests are in computational methods in statistics, especially Markov chain Monte Carlo algorithms (MCMC), Bayesian inference, copula models, model selection procedures and statistical genetics. Professor Craiu is an Elected Fellow of the International Statistical Institute and the winner of the CRM-SSC prize that is awarded in recognition of a statistical scientist’s professional accomplishments in research during the first fifteen years after having received a doctorate. He is Associate Editor for the Journal of Computational and Graphical Statistics, the Canadian Journal of Statistics and Stat - The ISI’s Journal for the Rapid Dissemination of Statistics Research, and Guest Editor for Technometrics and Statistics and Its Interface.

‍‍欢迎广大师生参加!

统计研究院

2017年523

 

 
地址:天津市南开区卫津路94号,邮编:300071,电话(传真)86-22-23501103  邮箱:stat@nankai.edu.cn
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