Results 21 to 30 of about 17,906 (239)
Bayesian Estimation of Intensity Surfaces on the Sphere via Needlet Shrinkage and Selection [PDF]
, 2011 This paper describes an approach for Bayesian modeling in spherical datasets. Our method is based upon a recent construction called the needlet, which is a particular form of spherical wavelet with many favorable statistical and computational properties.
Scott, James G.
core +1 more source
Finite mixture modeling using shape mixtures of the skew scale mixtures of normal distributions
Communications in Statistics - Simulation and Computation, 2019 This paper introduces the shape mixtures of the skew scale mixtures of normal distribution which are contained additional shape parameters to regulate skewness and kurtosis. We present a finite mixture model for this new family of distributions, which is a novel model-based tool for clustering heterogeneous data in the presence of skewed and heavy ...
Tamandi, Mostafa, Ahad Jamalizadeh
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On Bayesian robust regression with diverging number of predictors
, 2016 This paper concerns the robust regression model when the number of predictors and the number of observations grow in a similar rate. Theory for M-estimators in this regime has been recently developed by several authors [El Karoui et al., 2013, Bean et al.
Nevo, Daniel, Ritov, Ya'acov
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ForecastingThis article describes a robust Gaussian Prior process state space modeling (GPSSM) approach to assess the impact of an intervention in a time series. Numerous applications can benefit from this approach.
Patrick Toman +3 more
doaj +1 more source
Breakdown points for maximum likelihood estimators of location-scale mixtures [PDF]
, 2004 ML-estimation based on mixtures of Normal distributions is a widely used tool for cluster analysis. However, a single outlier can make the parameter estimation of at least one of the mixture components break down. Among others, the estimation of mixtures
Hennig, Christian
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On the Conditional Variance for Scale Mixtures of Normal Distributions
Journal of Multivariate Analysis, 2000 For a scale mixture of normal vector, X = A1/2G, where X G ∈ Rnand A is a positive variable, independent of the normal vector G, we obtain that the conditional variance covariance, Cov(X2 X1), is always finite a,s for m ≥ 2, where X1∈ Rnand m < n, and remains a.s.
Cambanis, Stamatis +2 more
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Revista Colombiana de Estadística, 2012 This work considers distributions obtained as scale mixture of normal densities for correlated random variables, in the context of the Markov random field theory, which is applied in Bayesian spatial intrinsically autoregressive random effect models ...
Torres-Avilés Francisco J. +2 more
doaj +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
On the Bayesian analysis of species sampling mixture models for density estimation [PDF]
, 2006 The mixture of normals model has been extensively applied to density estimation problems. This paper proposes an alternative parameterisation that naturally leads to new forms of prior distribution.
Griffin, Jim E.
core
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source