Titlebook: Statistical Challenges in Modern Astronomy V; Eric D. Feigelson,G. Jogesh Babu Conference proceedings 2012 Springer Science+Business Media

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Commentary: ‘The Matter Spectral Density from Lensed Cosmic Microwave Background Observations’estimation in cosmology if not correctly accounted for, and which limits our ability to measure primordial gravitational waves from inflation. Quantifying its effects is an important task, and one which is challenging in practice. In this commentary, I give some physical context and describe the sta

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Measurement Error Models in Astronomyfor measurement error that are most popular in astronomical data analysis, discussing their advantages and disadvantages. I describe functional models for accounting for measurement error in regression, with emphasis on the methods of moments approach and the modified loss function approach. I then

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Asteroseismology: Bayesian Analysis of Solar-Like Oscillatorse the stellar physics with a precision never achieved before. Thanks to that, new discoveries have been raising new challenges requiring the use of robust new statistical approaches. F stars (i.e. hot solar-like stars) are among the most complicated solar-like oscillators to analyze. In this paper,

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Semi-parametric Robust Event Detection for Massive Time-Domain Databasesrticular, many scientific investigations (e.g. the analysis of microlensing and other transients) begin with the detection of isolated events in irregularly-sampled series with both non-linear trends and non-Gaussian noise. We outline a semi-parametric, robust, parallel method for identifying variab