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physics.data-an2000
Bayesian Blocks: Divide and Conquer, MCMC, and Cell Coalescence Approaches
Jeffrey D. Scargle
Identification of local structure in intensive data -- such as time series, images, and higher dimensional processes -- is an important problem in astronomy. Since the data are typ…
physics.data-an1999
Publication Bias (The "File-Drawer Problem") in Scientific Inference
Jeffrey D. Scargle
Publication bias arises whenever the probability that a study is published depends on the statistical significance of its results. This bias, often called the file-drawer effect si…