Annals of Statistics

By D. Hinkley. 2006

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Citations in the corpus

Testing the Number of Components in Normal Mixture Regression Models (2015, background): “Model selection procedures have been proposed for estimating the number of components in mixture models (see, for example, Henna, 1985; Lindsay and Roeder, 1992; Windham and Cutler, 1992; Roeder, 1994; Chen and Kalbfleisch, 1996; Keribin, 2000; James et al., 2001; Miloslavsky and van der Laan, 2003;”
Foundations of observing dark energy dynamics with the Wilkinson Microwave Anisotropy Probe (2004, unknown): “This can be achieved through the Akaike information criterion (AIC [46]) and Bayesian information criterion (BIC [47]), respectively defined as”
Hamiltonian Monte Carlo for Hierarchical Models (2013, methodology): “For visual illustration, consider the funnel distribution [2] resulting from a one-way normal model with no”
Modified gravity models of dark energy (2010, unknown): “[265]) The Bayesian-Information-Criterion (BIC) statistics [266] show that the general solutions, with all 4 parameters (α, β,Ω (0) m ,Ω (0) K ) are varied, are not particularly favored over the ΛCDM model.”
Algebraic Statistics for Computational Biology: Preface (2005, result): “By our crucial observation above, the expression inside the large parentheses is the Fourier transform of a group-based model and hence by results in [Evans and Speed, 1993] and [Székely et al.”
Forward stagewise regression and the monotone lasso (2007, methodology): “Efron et al. (2004) showed in their Lemma 11 that for sufficiently small ε, this set would not change.”