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4 papers · 2 filters
Asymptotic optimality of a cross-validatory predictive approach to linear model selection
Arijit Chakrabarti, Tapas Samanta
In this article we study the asymptotic predictive optimality of a model selection criterion based on the cross-validatory predictive density, already available in the literature.…
A comparison of the Benjamini-Hochberg procedure with some Bayesian rules for multiple testing
Małgorzata Bogdan, Jayanta K. Ghosh, Surya T. Tokdar
In the spirit of modeling inference for microarrays as multiple testing for sparse mixtures, we present a similar approach to a simplified version of quantitative trait loci (QTL)…
Projected likelihood contrasts for testing homogeneity in finite mixture models with nuisance parameters
Debapriya Sengupta, Rahul Mazumder
This paper develops a test for homogeneity in finite mixture models where the mixing proportions are known a priori (taken to be 0.5) and a common nuisance parameter is present. St…
Asymptotic Properties of an Estimator of the Drift Coefficients of Multidimensional Ornstein-Uhlenbeck Processes that are not Necessarily Stable
Gopal K. Basak, Philip Lee
In this paper, we investigate the consistency and asymptotic efficiency of an estimator of the drift matrix, , of Ornstein-Uhlenbeck processes that are not necessarily stable. W…