Results 91 to 100 of about 122,222 (300)
Estimating Bayes factors via thermodynamic integration and population MCMC [PDF]
, 2009 A Bayesian approach to model comparison based on the integrated or marginal likelihood is considered, and applications to linear regression models and nonlinear ordinary differential equation (ODE) models are used as the setting in which to elucidate and
Calderhead, B., Girolami, M.
core +1 more source
A point on discrete versus continuous state-space Markov chains
Dependence ModelingThis article investigates the effects of discrete marginal distributions on copula-based Markov chains. We establish results on mixing properties and parameter estimation for a copula-based Markov chain model with Bernoulli(pp) marginal distributions ...
Muia Mathias, Longla Martial
doaj +1 more source
Retrieval of Experiments by Efficient Estimation of Marginal Likelihood
CoRR, 2014 We study the task of retrieving relevant experiments given a query experiment. By experiment, we mean a collection of measurements from a set of `covariates' and the associated `outcomes'. While similar experiments can be retrieved by comparing available `annotations', this approach ignores the valuable information available in the measurements ...
Sohan Seth +2 more
openaire +2 more sources
Developmental and Epileptic Encephalopathy due to Biallelic Pathogenic Variants in PIGM
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective PIGM encodes a critical enzyme in the glycosylphosphatidylinositol (GPI)‐anchor biosynthesis pathway. While promoter‐region mutations in PIGM have been associated with a relatively mild phenotype characterized by portal vein thrombosis and absence seizures, recent evidence suggests that coding‐region mutations result in a more severe
Júlia Sala‐Coromina +11 more
wiley +1 more source
Parameter Estimation in Semi-Linear Models Using a Maximal Invariant Likelihood Function [PDF]
In this paper, we consider the problem of estimation of semi-linear regression models. Using invariance arguments, Bhowmik and King (2001) have derived the probability density functions of the maximal invariant statistic for the nonlinear component of ...
Jahar L. Bhowmik, Maxwell L. King
core
Marginal Likelihood Based Tests of Regression Disturbances [PDF]
, 2018 This paper presents general formulae for the likelihood ratio (LR), Wald (W), Lagrange multiplier (LM) and asymptotic locally most mean powerful (ALMMP) tests of linear regression disturbances using marginal likelihood methods. These tests can be derived
King, Maxwell L., Ara, Ismat
core +1 more source
Distribution of the LR criterion Up,m,n as a marginal distribution of a generalized Dirichlet model
Statistica, 2013 The density of the likelihood ratio criterion Up,m,n is expressed in terms of a marginal density of a generalized Dirichlet model having a specific set of parameters.
Seemon Thomas, Alex Thannippara
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This analysis evaluates the effect of successful reperfusion on functional outcomes after MT, stratified by admission National Institutes of Health Stroke Scale (NIHSS) and Alberta Stroke Program Early CT Score (ASPECTS) as surrogates for clinical‐core mismatch, using multicenter registry data.
Felix Schlicht +53 more
wiley +1 more source
Pseudo-marginal algorithms with multiple CPUs [PDF]
, 2014 The emergence of pseudo-marginal algorithms has led to improved computational efficiency for dealing with complex Bayesian models with latent variables.
Drovandi, Christopher C.
core
Robustness of marginal maximum likelihood estimation in the Rasch model [PDF]
, 1990 Simulation studies examined the effect of misspecification of the latent ability (θ) distribution on the accuracy and efficiency of marginal maximum likelihood (MML) item parameter estimates and on MML statistics to test sufficiency and conditional ...
Zwinderman, Aeilko H. +1 more
core +1 more source