Results 1 to 10 of about 17,906 (239)
Log-Regularly Varying Scale Mixture of Normals for Robust Regression
Computational Statistics & Data Analysis, 2021 Linear regression with the classical normality assumption for the error distribution may lead to an undesirable posterior inference of regression coefficients due to the potential outliers.
Hamura, Yasuyuki +2 more
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Using Scale Mixtures Of Normals To Model Continuously Compounded Returns [PDF]
Journal of Modern Applied Statistical Methods, 2005 A new method for estimating the parameters of scale mixtures of normals (SMN) is introduced and evaluated. The new method is called UNMIX and is based on minimizing the weighted square distance between exact values of the density of the scale mixture and
Dardia, Kristen +3 more
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Entropy, 2021 In the paper, we begin with introducing a novel scale mixture of normal distribution such that its leptokurticity and fat-tailedness are only local, with this “locality” being separately controlled by two censoring parameters.
Łukasz Lenart +2 more
doaj +1 more source
An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies. [PDF]
PLoS Genetics, 2015 Characterizing the distribution of effects from genome-wide genotyping data is crucial for understanding important aspects of the genetic architecture of complex traits, such as number or proportion of non-null loci, average proportion of phenotypic ...
Wesley K Thompson +10 more
doaj +1 more source
Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach
BMC Bioinformatics, 2010 Background Developing and evaluating new technology that enables researchers to recover gene-expression levels of colonic cells from fecal samples could be key to a non-invasive screening tool for early detection of colon cancer.
Davidson Laurie A +5 more
doaj +1 more source
Bayesian Regularisation in Structured Additive Regression Models for Survival Data [PDF]
, 2008 During recent years, penalized likelihood approaches have attracted a lot of interest both in the area of semiparametric regression and for the regularization of high-dimensional regression models.
Fahrmeir, Ludwig +2 more
core +1 more source
Conditions for Posterior Contraction in the Sparse Normal Means Problem [PDF]
, 2015 The first Bayesian results for the sparse normal means problem were proven for spike-and-slab priors. However, these priors are less convenient from a computational point of view.
Salomond, Jean-Bernard +2 more
core +5 more sources
Energies, 2019 Details are presented of the development and incorporation of a generation and transmission reliability approach in an upper-level sustainability assessment framework for power system planning.
Jose R. Vargas-Jaramillo +4 more
doaj +1 more source
Bayesian modelling of skewness and kurtosis with two-piece scale and shape distributions [PDF]
, 2015 We formalise and generalise the definition of the family of univariate double two--piece distributions, obtained by using a density--based transformation of unimodal symmetric continuous distributions with a shape parameter.
Rubio, F. J., Steel, M. F. J.
core +2 more sources
, 2015 Undoing the image formation process and therefore decomposing appearance into its intrinsic properties is a challenging task due to the under-constraint nature of this inverse problem.
Fritz, Mario +4 more
core +3 more sources