#  Colloq: Yves Atchade 

 



####  calendar\_today Date and Time 

 **November 7, 2016** 

 04:15PM - 05:15PM EST 

####  pin\_drop Location 

 **Science Center Rm. 300H**  



 

 



 

 [Bayesian statistics without likelihood](/files/statistics/files/yves_atchade_-_october_7th.pdf)

 Bayesian analysis of high-dimensional graphical models often leads to posterior distributions that are computationally intractable. Similar issues arise with other classes of statistical models. In this talk I will advocate the use of more general loss functions in the Bayesian machinery. The idea is not new, but I will present some new results on the contraction properties of the resulting quasi-posterior distributions in the high-dimensional regime. Computational aspects will also be discussed if time permits.



 

 



 

 See also:- [ 2016 - 2017 ](/academic-year/2016-2017)
- [ Colloquia ](/event-type/colloquia)
 
 

 Share on:- [     Facebook ](#)
- [     Twitter ](#)
- [     Linkedin ](#)
 


 Save: [ Add to calendar calendar\_today ](https://statistics.fas.harvard.edu/node/1122658/event-feed.ics)  Copy link link