2014 Summer Events | Travel & Visa | Lodging | Registration | Program
Summer School in Statistics for Astronomers X
(June 2-6, 2014)
Penn State is continuing its annual Summer Schools in Statistics
designed for graduate students and researchers in astronomy.
The tenth summer school is an intensive week covering basic statistical inference,
several fields of applied statistics, and the R computing environment.
A repertoire of well-established techniques applicable to observational astronomy and physics are developed. Classroom instruction is interspersed with hands-on analysis of astronomical data using the open-source R software package. The course is taught by a team of statistics and astronomy professors with opportunity for discussion of methodological issues. The topics covered include:
The 2014 Summer School will be modeled on the last nine Penn State Summer Schools and the three Indian Institute of Astrophysics-Penn State Summer Schools; see 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012 and 2013 lecture notes for the Penn State Summer Schools. The summer schools are partially supported by the National Science Foundation.REGISTRATION CLOSED
Summer School Registration is closed
Registration Deadline for the events, Statistical Modeling of Cosmic Populations, & Bayesian Computing for Astronomical Data Analysis: May 9, 2014 or earlier if the enrollment limit reaches.
Statistical Modeling of Cosmic Populations: This two-day session will introduce participants to statistical methods for demographic modeling of cosmic populations, with an emphasis on Bayesian methods based on multilevel models (MLMs) with separate levels of stochastic modeling that explicitly account for uncertainties due to population sampling and measurement errors. Topics to be covered include:
Bayesian Computing for Astronomical Data Analysis: High-Performance Computing for Astronomical Data Analysis & Bayesian Computing (June 11-13, 2014) will prepare students to harness modern parallel computing hardware for analyzing astronomical data, with an emphasis on applying Bayesian inference to multilevel models. While lectures will include examples from a variety of astronomical applications, the lab exercises will use astronomical data sets and Bayesian multi-level models motivated by the prior school on Statistical Modeling of Cosmic Populations (June 9-10, 2014), so those participating in both parts of the school will experience a seamless transition. By comparing the performance of common Bayesian algorithms, students will develop intuition to help choose the most appropriate algorithms, architectures and programming model for their own research applications.
Lessons will be targeted at graduate students and postdocs in astronomy, astrophysics and physics. Senior researchers interested in learning about Bayesian computing are also welcome to attend. Prospective participants who are not already familiar statistics at the level of an undergraduate course, should participate in the Summer School in Statistics for Astronomers (June 2-6, 2014). Prospective participants not already familiar with Bayesian data anlaysis and multi-level modeling, should also participate in the Statistical Modeling of Cosmic Populations (June 9-10, 2014).
Preliminary Program: The Morning lectures will describe:
In addition, all the three 2014 summer events are partially supported by the Penn State departments of Statistics, and Astronomy & Astrophysics.