Results 261 to 270 of about 66,786 (305)

Computational protocol for hierarchical Bayesian modeling of perception and generalization in fear conditioning. [PDF]

STAR Protoc
Yu K, Vanpaemel W, Tuerlinckx F, Zaman J.   +3 more
europepmc   +1 more source

Influence of Uninformative Prior Distributions for MCMC Method on Estimating Variance Components in Generalizability Theory. [PDF]

Appl Psychol Meas
Li G.
europepmc   +1 more source

Multi-event dynamic capture-recapture model for big data: Estimating undetected COVID-19 cases in British Columbia, Canada. [PDF]

Infect Dis Model
Olobatuyi K, Ma J, Brown P, Cowen LLE.
europepmc   +1 more source

A comparative study of simulation-based inference methods for epidemic models with identifiability considerations. [PDF]

PLoS Comput Biol
Jang G, Candan KS, Chowell G.
europepmc   +1 more source

Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016. [PDF]

BMC Public Health
Begashaw GB, Zewotir T, Fenta HM, Asmamaw MA.   +3 more
europepmc   +1 more source

Analysis and simulation for a two-sex transmission model of HPV infection in Xinjiang of China. [PDF]

Infect Dis Model
Zhao H, Abuduwaili S, Teng Z, Wang L, Rifhat R, Zhang Z.   +5 more
europepmc   +1 more source

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A tutorial on adaptive MCMC

Statistics and Computing, 2008
We review adaptive Markov chain Monte Carlo algorithms (MCMC) as a mean to optimise their performance. Using simple toy examples we review their theoretical underpinnings, and in particular show why adaptive MCMC algorithms might fail when some fundamental properties are not satisfied.
Christophe Andrieu, Andrieu Christophe
exaly   +3 more sources

Nested Adaptation of MCMC Algorithms

Bayesian Analysis, 2020
© 2020 International Society for Bayesian Analysis Markov chain Monte Carlo (MCMC) methods are ubiquitous tools for simulation-based inference in many fields but designing and identifying good MCMC samplers is still an open question.
Perry De Valpine, Yves Atchade, Daniel Turek   +2 more
exaly   +3 more sources

MCMC and the fibonacci distribution

Communications in Statistics - Simulation and Computation, 2015
ABSTRACTA method to create a Markov transition matrix for Markov chain Monte Carlo studies is presented and applied to the Fibonacci probability distribution.
openaire   +1 more source