2014 Summer Events | Travel & Visa | Lodging | Registration | Program

Summer School in Statistics for Astronomers X (June 2-6, 2014) Statistical Modeling of Cosmic Populations (June 9-10, 2014) Bayesian Computing for Astronomical Data Analysis (June 11-13, 2014) Pictures

June 2, 2014 (Monday)   7:45 a.m. -   8:30 a.m.    Registration and computer accounts (Lobby of 100 Life Sciences Building)   8:30 a.m. -   8:45 a.m.    Welcome address ( Dr. Andrew Stephenson, Associate Dean for Research                                           and Graduate Education, Eberly College of Science)   8:45 a.m. - 10:15 a.m.    Probability I (David Hunter) Break 10:40 a.m. - 12:10 p.m.    Probability II (David Hunter) Afternoon Session at Cybertorium   1:45 p.m. -   3:15 p.m.    Inference I (James Rosenberger)   IST Break   3:40 p.m. -   5:40 p.m.    Introduction to R   [R code 1] (Derek Young)   LAB June 3, 2014 (Tuesday)   8:30 a.m. - 10:00 a.m.    Inference II (James Rosenberger) Break 10:30 a.m. - 11:30 a.m.    Bootstrap (G. Jogesh Babu)   11:30 a.m. - 12:30 p.m.    Astrostatistics: Past, Present and Future (Eric Feigelson) Afternoon Session at Cybertorium   1:45 p.m. -   3:15 p.m.    Model Fitting and Model Selection (G. Jogesh Babu)   IST Break   3:40 p.m. -   5:00 p.m.    R session for Astronomy   [R code 2] (Derek Young)   LAB   6:30 p.m. -  8:30 p.m.    Reception and Dinner at The Nittany Lion Inn      June 4, 2014 (Wednesday)   8:30 a.m. - 10:00 a.m.    Multivariate Analysis (James Rosenberger) Break 10:30 a.m. - 12:00 p.m.    Clustering & Classification, file for fast download (Jessi Cisewski) Afternoon Session at Cybertorium   1:30 p.m. -   3:15 p.m.    Nonparametrics (Chad Schafer)   IST Break   3:40 p.m. -   5:40 p.m.    R session for Astronomy   [R code 3] (Derek Young)   LAB June 5, 2014 (Thursday)   8:30 a.m. - 10:15 a.m.    Regression (Chad Schafer) Break 10:45 a.m. - 12:45 p.m.    Bayesian Analysis I, Bayesian Analysis II,         Resources, Supplementary Material, p-value (Thomas Loredo) Afternoon Trip                      2:00 p.m.     Trip to Penn's Cave   5:00 p.m. -   8:00 p.m.   Picnic June 6, 2014 (Friday)   8:30 a.m. - 10:00 a.m.    Spatial Statistics (Murali Haran) Break 10:30 a.m. - 12:00 p.m.    Multivariate Clustering & Classification with R, R code (Eric Feigelson) Afternoon Session at Cybertorium   2:00 p.m. -   3:30 p.m.    Time Series Analysis (Eric Feigelson)  IST Break   3:45 p.m. -   5:45 p.m.    MCMC (Murali Haran)   IST End of the 10th Summer School BOOKLET OF LECTURE NOTES FOR SUMMER SCHOOL X      Statistical Modeling of Cosmic Populations June 9, 2014 (Monday)   8:30 a.m. -   9:00 a.m.    Registration and computer accounts (Lobby of 100 Life Sciences Building)   9:00 a.m. -   9:05 a.m.    Introduction to the Cosmic Populations session (Tom Loredo)   9:05 a.m. -   9:55 a.m.    Surveys of cosmic populations: Overview (Eric Feigelson) 10:00 a.m. - 11:00 a.m.    Surveys of cosmic populations: Statistical issues (Tom Loredo) Break 11:30 a.m. - 12:30 p.m.    Bayesian inference in a nutshell (Tom Loredo) Afternoon Session at Cybertorium   1:45 p.m. -   2:30 p.m.    Bayesian multilevel models: Fundamentals (Tom Loredo)   2:35 p.m. -   3:30 p.m.    Bayesian multilevel models for cosmic populations, 1 (Tom Loredo) Break   4:00 p.m. -   5:00 p.m.    Bayesian multilevel models for cosmic populations, 2 (Tom Loredo) June 10, 2014 (Tuesday)   9:00 a.m. -   9:45 a.m.    Bayesian computation: Methods for low-dimensional models (Tom Loredo)   9:50 a.m. - 11:00 a.m.    Bayesian computation: Posterior sampling and MCMC (Tom Loredo) Break 11:30 a.m. - 12:30 p.m.    Bayes via forward simulation: Approximate Bayesian Computation (Jessi Cisewski) Afternoon Session at Cybertorium   1:45 p.m. -   2:30 p.m.    Censoring and truncation in astronomical surveys (Eric Feigelson)   2:30 p.m. -   3:15 p.m.    Connecting multiple surveys: Bayesian cross-matching (Tamas Budavari) Break   3:30 p.m. -   4:40 p.m.    Overview of VO and introduction to survey databases (Tamas Budavari)   4:40 p.m. -   5:00 p.m.    VOStat (G. Jogesh Babu) Booklet of notes for Statistical Modeling of Cosmic Populations     6:30 p.m. -  8:30 p.m.    Reception and Dinner at The Nittany Lion Inn   (Alumni Lounge) Bayesian Computing for Astronomical Data Analysis June 11, 2014 (Wednesday)   8:30 a.m. -   8:50 a.m.    Motivation for High-Performance Computing to enable Bayesian Analysis of Astronomical Data Sets (Eric Ford)   8:50 a.m. - 10:00 a.m.    Parallel Computer Architectures (Pierre-Yves Taunay) Break 10:30 a.m. - 11:45 a.m.    Parallel Programming for Multi-core & Distributed Systems (Pierre-Yves Taunay) 11:45 a.m. - 12:30 p.m.    Graphics Processing Unit (GPU) Computing Architectures (Pierre-Yves Taunay) Afternoon Session at Cybertorium   1:45 p.m. -   3:00 p.m.    Parallel Programming for Multi-Core, Distributed Systems, and GPUs   LAB Break   3:30 p.m. -   5:00 p.m.    Parallel Programming for Multi-Core, Distributed Systems, and GPUs   LAB June 12, 2014 (Thursday)   8:30 a.m. -   9:15 a.m.    Importance Sampling (Jessi Cisewski)   9:15 a.m. - 10:00 a.m.    Approximate Bayesian Computing (ABC) using Sequential Sampling (Jessi Cisewski) Break 10:30 a.m. - 11:30 a.m.    Hierarchical Bayesian Modeling using ABC (Jessi Cisewski) 11:30 a.m. - 12:30 p.m.    Hierarchical Bayesian Modeling with Ensemble MCMC (Eric Ford) Afternoon Session at Cybertorium   1:45 p.m. -   3:00 p.m.    Hierarchical Bayesian Modeling with ABC & Importance Sampling,   R Code   LAB Break   3:30 p.m. -   5:30 p.m.    HBM using MCMC   [pdf, txt] LAB June 13, 2014 (Friday)   8:30 a.m. -   9:30 a.m.    Gaussian Process Regression (Daniel Foreman-Mackey)   9:30 a.m. - 10:30 a.m.    Hamiltonian Monte Carlo (Daniel Lee) Break 11:00 a.m. - 12:00 p.m.    Hierarchical Models in Stan (Daniel Lee) 12:00 a.m. - 12:30 p.m.    Computational methods for Bayesian model comparison (Tom Loredo) Afternoon Session at Cybertorium   1:30 p.m. -   2:30 p.m.    HBM using MCMC & Stan   LAB   2:30 p.m. -   3:30 p.m.    Gaussian Process   LAB Break   4:00 p.m. -   5:30 p.m.    Bring-your-own-code Hack-a-thon   LAB                                           (Get input from computing experts and/or start applying lessons learned to your code) End of the Summer School Booklet of notes for Bayesian Computing for Astronomical Data Analysis   INSTRUCTORS: G. Jogesh Babu, Murali Haran, David Hunter, and James Rosenberger (Statisticians, Penn State); Eric Feigelson, and Eric Ford (Astronomers, Penn State); Pierre-Yves Taunay (Research Programmer, Penn State); Derek Young (Statistician, Census Bureau); Jessi Cisewski, and Chad Schafer (Statisticians, Carnegie Mellon University); Tamas Budavari (Astronomer, Johns Hopkins); Daniel Foreman-Mackey (Astronomer, New York University); Thomas Loredo (Astronomer, Cornell University); Daniel Lee (Statistician, Columbia); Gabriel Caceras, Sae Na Park, Robert Morehead, Ben Nelson, and Megan Shabram (Graduate Students, Penn State). LOCATIONS: (Classroom & Computer LAB Sessions) Registration: Lobby of Berg Auditorium (100 Life Sciences Building) Morning Class Sessions (June 2-4): 100 Life Sciences Building Morning Class Sessions (June 5 and 6): 75 Willard Building Morning Class Sessions (June 9-13): 100 Life Sciences Building Afternoon Class & LAB Sessions: Cybertorium (113 IST Building)