There will be 10 minute talks on a wide variety of future directions in statistics by Hadley Wickham (Chief Scientist at RStudio and creator of ggplot2), Hongkai Ji (Johns Hopkins professor and Harvard Stat alumnus), Sinan Aral (MIT), Daniela Witten (Univ of Washington), Hilary Mason (Data Scientist in Residence at Accel & co-founder of HackNY) and Joe Blitzstein (Harvard Stat professor). Here is more publicity.
Approximate Bayesian Computing in Astronomy
A 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... Read more about AstroStatTalk: Jessi Cisewski