Statistical Challenges in Modern Astronomy IV: Proceedings of a Conference Held at Pennsylvania State University, University Park, Pennsylvania, USA, 12-15 June 2006, Volume 371"This is the fourth in a series of international conferences for the vanguard of researchers in the cross-disciplinary field of astrostatistics. Both astronomical and statistical communities now recognize the wide array of fascinating methodological issues faced by the modern astronomer. Ranging from terabyte wide-field surveys to small-N samples, from cosmology to the search for Earth-like planets, astronomical research can no longer be pursued with a small toolbox of familiar statistical methods. Over thirty distinguished scholars from both fields presented invited talks and commentaries on leading problems in astrostatistics. The methodological challenges of inferring cosmological insights from the cosmic microwave background fluctuations, the distribution of galaxies in space, gravitational lensing, and galaxy structure wre describe in detail. Time series analysis is discussed in a variety of contexts: sparse Poisson data, multiply-periodic systems, gravitational wave detection, and most dramatically in the search for extrasolar planets. Here sophisticated Bayesian model selection with MCMC computations plays a critical role. Other topics covered include image processing, analysis of mega-datasets from large surveys, and small-N problems in both astronomy and particle physics. The volume ends with cross-disciplinary overviews and software tutorials. The book will be valuable to graduate students and researchers in both astronomy and statistics who seek insights into this promising avenue of cross-disciplinary research."--Publisher's website. |
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Índice
Setting the Statistical Significance of Detections of NonGaussianity in the WMAP | 18 |
Discussion on Baddeley Paper | 39 |
Statistical Challenges of Weak Gravitational Lensing | 59 |
Direitos de autor | |
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algorithm analysis applied approach approximation ASP Conference Series astronomical Astrophysics Babu and Eric background Bayes factor Bayesian cluster coefficients component computational correlation function cosmological counts covariance dark matter data sets density detection disk e-Book ISBN error estimate example expected extrasolar planets Feigelson Figure flux frequency frequentist galaxy Gaussian gravitational inference integral interval Jogesh Babu lens lensing light curves likelihood limit luminosity magnification marginal likelihood Markov chain mass matrix MCMC measure methods microlensing model selection Monte Carlo multiscale noise non-Gaussianity nonparametric null hypothesis objects observed orbital p-value parameter space Particle Physics photon pixel planet Plutinos point pattern point process Poisson Poisson process posterior probability prior probability problem quasar random ratio redshift region scale SDSS shear signal significant simulations spatial point spectra stars stellar survey Szapudi techniques tion uncertainties University variables variance vector velocity wavelet WMAP X-ray

