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Showing 1 to 1 of 1 for “"Bayesian Sparse Reconstruction"”.

  1. Bayesian Methods and Machine Learning in Astrophysics

    This thesis is concerned with methods for Bayesian inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters 3 to 5), and Bayesian sparse reconstruction of signals from noisy data (Chapters 6 and 7). Nested sampling is a …

    cambridge Repository record for Bayesian Methods and Machine Learning in Astrophysics (opens in a new tab)