3rd IIA-PennState Astrostatistics School Lectures






Lectures:










1st Day Historical Remarks Sabyasachi Chatterjee (notes)
(audio)
1st Day Challenges of Modern Empirical Astrophysics Prajval Shastri

(audio)

& Overview of the School

(presentation) (audio)
1st Day Probability Bhamidi V Rao (notes) (presentation) (audio)
2nd Day Estimation, Confidence Intervals & Hypothesis Testing Bhamidi V Rao (notes)
(audio)
2nd Day Bayesian Analysis Mohan Delampady (notes) (presentation) (audio)
2nd Day Maximum Likelihood Estimates Bhamidi V Rao (notes)
(audio)
3rd Day Non-parametric Statistics Sushama Bendre (notes) (presentation) (audio)
3rd Day R demo Deepayan Sarkar (notes) (R code) (audio)
4th Day Correlation & Regression Rajeeva Karandikar (notes) (presentation) (audio)
4th Day Statistical Applications in the Astronomy Literature I Jogesh Babu
(presentation) (audio)
4th Day Truncation & Censoring Jogesh Babu
(presentation) (audio)
5th Day Model Selection & Evaluation, Goodness-of-fit Rajeeva Karandikar (notes) (presentation) (audio)
5th Day EM Algorithm Thriyambakam Krishnan
(presentation) (audio)
6th Day Jackknife and Bootstrap Jogesh Babu (notes) (presentation) (audio)
6th Day Multivariate Analysis Thriyambakam Krishnan
(presentation) (audio)
7th Day Cluster Analysis Thriyambakam Krishnan
(presentation) (audio)
7th Day MCMC methods T Krishnan & A Chakraborty (notes) (R code) (audio)
7th Day Statistical Applications in the Astronomy Literature II Jogesh Babu
(presentation) (audio)

ref: Protassov etal 2002 (ADS link)



ref: Voi etal 2010 (ADS link)



ref: Hou etal 2009 (ADS Link)


8th Day VOStat Tools for Web Computing Jogesh Babu & Arnab Chakraborty
(weblink) (audio)






R Tutorials, Data Sets & Scripts










Exercises Jogesh Babu














Extra Material:










Monte Carlo Markov Chain Methods Mohan Delampady (cf Bayesian Analysis p20)

Introduction to Bayesian Analysis Tom Loredo (notes)


Posterior Sampling & MCMC via Metropolis-Hastings Tom Loredo
(presentation)

MCMC tutorial (PennState Summer School 2010) Murali Haran (notes) (tutorial)

Bayesian Statistics (in Resonance magazine) M Delampady & T Krishnan (article)


Time-Series Eric Feigelson
(presentation)