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Research article

First published 2019

Parallel MCMC sampling of AR-HMMs for prediction based option trading

I. Róbert Sipos, Attila Ceffer, Gábor Horváth [...]

Algorithmic Finance

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Research article

First published 2002-10

Size distribution of geological faults: Model choice and parameter estimation

Hilde Grude Borgos, Henning Omre, Chris Townsend

Statistical Modelling

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Review article

First published 2010-8

MCMC Sampling for a Multilevel Model With Nonindependent Residuals Within and Between Cluster Units

William Browne, Harvey Goldstein

Journal of Educational and Behavioral Statistics

Open access

Research article

First published 2018-4

Effect fusion using model-based clustering

Gertraud Malsiner-Walli, Daniela Pauger, Helga Wagner

Statistical Modelling

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Research article

First published 2025

Bayesian multivariate semi-Markov-switching mixed data sampling

Alfonso Russo, Antonello Maruotti, Alessio Farcomeni

Statistical Modelling

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Research article

First published 2013-5

Modeling heterogeneity for bivariate survival data by shared gamma frailty regression model

David D. Hanagal, Richa Sharma

Model Assisted Statistics and Applications

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Research article

First published 2012-7

Recovery of Graded Response Model Parameters

Vincent Kieftenbeld, Prathiba Natesan

Applied Psychological Measurement

Open access

Research article

First published 2009

On the Use of Bootstrapped Topologies in Coalescent-Based Bayesian MCMC Inference: A Comparison of Estimation and Computational Efficiencies

Allen G. Rodrigo, Peter Tsai, Helen Shearman

Evolutionary Bioinformatics

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Research article

First published 2002-09

Recovery of Item Parameters in the Nominal Response Model: A Comparison of Marginal Maximum Likelihood Estimation and Markov Chain Monte Carlo Estimation

James A. Wollack, Daniel M. Bolt, Allan S. Cohen [...]

Applied Psychological Measurement

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Research article

First published 2006-12

Conjugate Gibbs Sampling for Bayesian Phylogenetic Models

Nicolas Lartillot

Journal of Computational Biology

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