Statistical Challenges In Modern Astronomy Ii by G. Jogesh Babu (Editor), Eric D. Feigelson (Editor)

From the Publisher

The Statistical Challenges in Modern Astronomy II conference, held in June 1996 at the Pennsylvania State University, five years after the first conference, brought astronomers and statisticians together to discuss methodological issues of common interest. Important themes include time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses. Astronomers frequently encounter troublesome situations such as heteroscedastic weighting of data, unevenly spaced time series, and selection effects leading to censoring and truncation. Many problems were introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, MACHO searches, and digitized sky surveys. This volume will be of interest to researchers and advanced students in both fields - astronomers who seek exposure to recent developments in statistics, and statisticians interested in confronting new problems.

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Table of Contents