3rd IIA-PennState Astrostatistics School Lectures |
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Lectures: |
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1st Day |
Historical Remarks |
Sabyasachi Chatterjee |
(notes) |
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(audio) |
1st Day |
Challenges of Modern Empirical Astrophysics |
Prajval Shastri |
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(audio) |
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& Overview of the School |
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(presentation) |
(audio) |
1st Day |
Probability |
Bhamidi V Rao |
(notes) |
(presentation) |
(audio) |
2nd Day |
Estimation, Confidence Intervals & Hypothesis Testing |
Bhamidi V Rao |
(notes) |
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(audio) |
2nd Day |
Bayesian Analysis |
Mohan Delampady |
(notes) |
(presentation) |
(audio) |
2nd Day |
Maximum Likelihood Estimates |
Bhamidi V Rao |
(notes) |
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(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 |
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(presentation) |
(audio) |
4th Day |
Truncation & Censoring |
Jogesh Babu |
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(presentation) |
(audio) |
5th Day |
Model Selection & Evaluation, Goodness-of-fit |
Rajeeva Karandikar |
(notes) |
(presentation) |
(audio) |
5th Day |
EM Algorithm |
Thriyambakam Krishnan |
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(presentation) |
(audio) |
6th Day |
Jackknife and Bootstrap |
Jogesh Babu |
(notes) |
(presentation) |
(audio) |
6th Day |
Multivariate Analysis |
Thriyambakam Krishnan |
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(presentation) |
(audio) |
7th Day |
Cluster Analysis |
Thriyambakam Krishnan |
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(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 |
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(presentation) |
(audio) |
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ref: |
Protassov etal 2002 (ADS link) |
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ref: |
Voi etal 2010 (ADS link) |
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ref: |
Hou etal 2009 (ADS Link) |
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8th Day |
VOStat Tools for Web Computing |
Jogesh Babu & Arnab Chakraborty |
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(weblink) |
(audio) |
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R Tutorials, Data Sets & Scripts |
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Exercises |
Jogesh Babu |
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Extra Material: |
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Monte Carlo Markov Chain Methods |
Mohan Delampady |
(cf Bayesian Analysis p20) |
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Introduction to Bayesian Analysis |
Tom Loredo |
(notes) |
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Posterior Sampling & MCMC via Metropolis-Hastings |
Tom Loredo |
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(presentation) |
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MCMC tutorial (PennState Summer School 2010) |
Murali Haran |
(notes) |
(tutorial) |
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Bayesian Statistics (in Resonance magazine) |
M Delampady & T Krishnan |
(article) |
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Time-Series |
Eric Feigelson |
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(presentation) |
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