#  AstroStatTalk: Jessi Cisewski 

 



####  calendar\_today Date and Time 

 **August 7, 2014** 

 11:00AM - 12:00PM EDT 

####  pin\_drop Location 

 **Pratt conference room (G04), CfA**  



 

 



 

Approximate Bayesian Computing in AstronomyA standard Bayesian statistical analysis relies on the specification of a likelihood function. Unfortunately the likelihood is not always known or tractable. Approximate Bayesian computation (ABC) provides a framework for performing inference in cases where the likelihood is not available, but it is possible (and computationally efficient) to generate a sample from the forward process that mimics the data-generation process. I will introduce and discuss ABC with a goal of illustrating how it can be useful in astronomy. Throughout, astronomical examples will be used to clarify concepts, and I will conclude with an application to exoplanet eccentricity distributions.(Jessi Cisewski is a visiting assistant professor in the statistics department at Carnegie Mellon; her research is primarily focused on astrostatistics. Her current work is focused on inferring the exoplanet eccentricity distribution from Kepler data; she has previously worked in mapping the IGM using the Lyman alpha forest.)

 

 



 

 See also:- [ 2013 - 2014 ](/academic-year/2013-2014)
 
 

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


 Save: [ Add to calendar calendar\_today ](https://statistics.fas.harvard.edu/node/1121959/event-feed.ics)  Copy link link