Results 91 to 100 of about 1,818,807 (197)

A discussion on Bayesian analysis : Selecting Noninformative Priors

, 2016
In this note, following the publication of Seaman III, Seaman Jr and Stamey(2012) we re ect on an aspect of Bayesian statistics, namely the selection of a priordensity on the parameters.
Kamary, Kaniav
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Bayesian approach to the assessment of the population-specific risk of inhibitors in hemophilia A patients: a case study

Journal of Blood Medicine, 2016
Ji Cheng,1,2 Alfonso Iorio,2,3 Maura Marcucci,4 Vadim Romanov,5 Eleanor M Pullenayegum,6,7 John K Marshall,3,8 Lehana Thabane1,2 1Biostatistics Unit, St Joseph’s Healthcare Hamilton, 2Department of Clinical Epidemiology and Biostatistics ...
Cheng J, Iorio A, Marcucci M, Romanov V, Pullenayegum EM, Marshall JK, Thabane L   +6 more
doaj  

Determinants of anemia among children aged 6-23 months in Nepal: an alternative Bayesian modeling approach

BMC Public Health
Background Anemia remains a major public health concern among children under two years of age in low- and middle-income countries. Childhood anemia is associated with several adverse health outcomes, including delayed growth and impaired cognitive ...
Hari Prasad Upadhyay, Nirajan Budhathoki, Ram Prasad Khatiwada, Bijay Lal Pradhan   +3 more
doaj   +1 more source

Prior distributions for variance parameters in hierarchical models

, 2006
. Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral-t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then ...
Andrew Gelman
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The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models

Proceedings of the AAAI Conference on Artificial Intelligence
Thompson sampling (TS) has been known for its outstanding empirical performance supported by theoretical guarantees across various reward models in the classical stochastic multi-armed bandit problems. Nonetheless, its optimality is often restricted to specific priors due to the common observation that TS is fairly insensitive to the choice of the ...
Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama   +2 more
openaire   +2 more sources

Fit Indices for BSEM

, 2021
Develop fit indices that behave similarly under MLE and MCMC with noninformative ...
Mauricio Garnier-Villarreal, Terrence D. Jorgensen   +1 more
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ANÁLISIS BAYESIANO DE ESTABILIDAD FENOTIPICA USANDO A PRIORI DE JEFFREYS BAYESIAN PHENOTYPIC STABILITY ANALYSIS USING JEFFREYS’S PRIOR

Revista Facultad Nacional de Agronomía Medellín, 2006
Uno de los métodos utilizados para evaluar estabilidad fenotípica es el propuesto por Shukla, el cual calcula la varianza de los genotipos dentro de la interacción genotipo por ambiente, para lo cual se hace uso de la estimación de los componentes de ...
José Miguel Cotes Torres, Adhemar Sanches   +1 more
doaj  

A Prior for the Variance in Hierarchical Models

, 1998
The choice of prior distributions for the variances can be important and quite difficult in Bayesian hierarchical and variance component models. For situations where little prior information is available, a 'noninformative' type prior is ...
Michael J. Daniels
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Bayesian inference of Gaussian mixture models with noninformative priors

, 2014
This paper deals with Bayesian inference of a mixture of Gaussian dis-tributions. A novel formulation of the mixture model is introduced, which includes the prior constraint that each Gaussian component is always as-signed a minimal number of data points.
Colin J. Stoneking
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Prior Elicitation in Multiple Change-point Models [PDF]

This paper discusses Bayesian inference in change-point models. The main existing approaches either attempt to be noninformative by using a Uniform prior over change-points or use an informative hierarchical prior.
Gary Koop, Simon M. Potter
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