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An encompassing prior generalization of the Savage–Dickey density ratio

Computational statistics & data analysis, 2010-09, Vol.54 (9), p.2094-2102

2010

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Modified versions of Bayesian Information Criterion for genome-wide association studies

Computational statistics & data analysis, 2012-05, Vol.56 (5), p.1038-1051

2012

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Model selection in binary and tobit quantile regression using the Gibbs sampler

Computational statistics & data analysis, 2012-04, Vol.56 (4), p.827-839

2012

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Modified versions of the Bayesian Information Criterion for sparse Generalized Linear Models

Computational statistics & data analysis, 2011-11, Vol.55 (11), p.2908-2924

2011

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Semiparametric regression models with additive nonparametric components and high dimensional parametric components

Computational statistics & data analysis, 2012-06, Vol.56 (6), p.2006-2017

2012

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FSR methods for second-order regression models

Computational statistics & data analysis, 2011-06, Vol.55 (6), p.2026-2037

2011

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The marginal likelihood of dynamic mixture models

Computational statistics & data analysis, 2012-09, Vol.56 (9), p.2650-2662

2012

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Information methods for model selection in linear mixed effects models with application to HCV data

Computational statistics & data analysis, 2011-09, Vol.55 (9), p.2677-2697

2011

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Functional linear regression after spline transformation

Computational statistics & data analysis, 2012-03, Vol.56 (3), p.587-601

2012

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Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling

Computational statistics & data analysis, 2011-03, Vol.55 (3), p.1498-1508

2011

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A path sampling identity for computing the Kullback–Leibler and J divergences

Computational statistics & data analysis, 2010-07, Vol.54 (7), p.1719-1731

2010

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Selecting and estimating regular vine copulae and application to financial returns

Computational statistics & data analysis, 2013-03, Vol.59, p.52-69

2013

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Model selection for zero-inflated regression with missing covariates

Computational statistics & data analysis, 2011, Vol.55 (1), p.765-773

2011

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Selective inference for additive and linear mixed models

Computational statistics & data analysis, 2022-03, Vol.167, p.107350, Article 107350

2022

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An algorithm for automatic curve detection

Computational statistics & data analysis, 2011-06, Vol.55 (6), p.2158-2171

2011

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SMLSOM: The shrinking maximum likelihood self-organizing map

Computational statistics & data analysis, 2023-06, Vol.182, p.107714, Article 107714

2023

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Visualization and assessment of model selection uncertainty

Computational statistics & data analysis, 2023-02, Vol.178, p.107598, Article 107598

2023

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Gaussian graphical modeling for spectrometric data analysis

Computational statistics & data analysis, 2022-10, Vol.174, p.107416, Article 107416

2022

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Variable selection in Bayesian multiple instance regression using shotgun stochastic search

Computational statistics & data analysis, 2024-08, Vol.196, Article 107954

2024

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Bayesian model selection for high-dimensional Ising models, with applications to educational data

Computational statistics & data analysis, 2022-01, Vol.165, p.107325, Article 107325

2022

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On the index of dissimilarity for lack of fit in loglinear and log-multiplicative models

Computational statistics & data analysis, 2011, Vol.55 (1), p.375-388

2011

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Fast and fully-automated histograms for large-scale data sets

Computational statistics & data analysis, 2023-04, Vol.180, p.107668, Article 107668

2023

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New efficient algorithms for multiple change-point detection with reproducing kernels

Computational statistics & data analysis, 2018-12, Vol.128, p.200-220

2018

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Equivalence class selection of categorical graphical models

Computational statistics & data analysis, 2021-12, Vol.164, p.107304, Article 107304

2021

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Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices

Computational statistics & data analysis, 2016-01, Vol.93, p.146-161

2016

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An encompassing prior generalization of the Savage–Dickey density ratio

Modified versions of Bayesian Information Criterion for genome-wide association studies

Model selection in binary and tobit quantile regression using the Gibbs sampler

Modified versions of the Bayesian Information Criterion for sparse Generalized Linear Models

Semiparametric regression models with additive nonparametric components and high dimensional parametric components

FSR methods for second-order regression models

The marginal likelihood of dynamic mixture models

Information methods for model selection in linear mixed effects models with application to HCV data

Functional linear regression after spline transformation

Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling

A path sampling identity for computing the Kullback–Leibler and J divergences

Selecting and estimating regular vine copulae and application to financial returns

Model selection for zero-inflated regression with missing covariates

Selective inference for additive and linear mixed models

An algorithm for automatic curve detection

SMLSOM: The shrinking maximum likelihood self-organizing map

Visualization and assessment of model selection uncertainty

Gaussian graphical modeling for spectrometric data analysis

Variable selection in Bayesian multiple instance regression using shotgun stochastic search

Bayesian model selection for high-dimensional Ising models, with applications to educational data

On the index of dissimilarity for lack of fit in loglinear and log-multiplicative models

Fast and fully-automated histograms for large-scale data sets

New efficient algorithms for multiple change-point detection with reproducing kernels

Equivalence class selection of categorical graphical models

Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices

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