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Estimating CDMs Using the Slice-Within-Gibbs Sampler [PDF]
Frontiers in Psychology, 2020 In this paper, the slice-within-Gibbs sampler has been introduced as a method for estimating cognitive diagnosis models (CDMs). Compared with other Bayesian methods, the slice-within-Gibbs sampler can employ a wide-range of prior specifications; moreover,
Xin Xu +4 more
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Markov chain Monte Carlo Gibbs sampler approach for estimating haplotype frequencies among multiple malaria infected human blood samples [PDF]
Malaria Journal, 2021 Background Malaria patients can have two or more haplotypes in their blood sample making it challenging to identify which haplotypes they carry. In addition, there are challenges in measuring the type and frequency of resistant haplotypes in populations.
Gie Ken-Dror, Pankaj Sharma
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The No-U-Turn sampler and its mixture-modeling revision for the 4-parameter normal ogive model [PDF]
Frontiers in PsychologyIntroductionThe No-U-Turn Sampler (NUTS), widely applied in psychometrics via the Stan platform, lacks algorithm-level systematic introduction for item response theory (IRT) models and tailored optimizations for specific models. This study systematically
Shaoyang Guo, Qian Sun, Xiaoyu Li
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Position Weight Matrix, Gibbs Sampler, and the Associated Significance Tests in Motif Characterization and Prediction [PDF]
Scientifica, 2012 Position weight matrix (PWM) is not only one of the most widely used bioinformatic methods, but also a key component in more advanced computational algorithms (e.g., Gibbs sampler) for characterizing and discovering motifs in nucleotide or amino acid ...
Xuhua Xia
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Variational Bayesian Inference in High-Dimensional Linear Mixed Models
Mathematics, 2022 In high-dimensional regression models, the Bayesian lasso with the Gaussian spike and slab priors is widely adopted to select variables and estimate unknown parameters. However, it involves large matrix computations in a standard Gibbs sampler.
Jieyi Yi, Niansheng Tang
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Bayesian analysis of the linear regression constraints by Gibbs sampler [PDF]
مجلة التربية والعلم, 2010 In this paper we consider parameter estimation in a linear regression setting with inequality linear constraints on the regression parameters. Most other research on this topic has typically been addressed from a Bayesian perspective.
Younis Hazim Ismail
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Journal of Biostatistics and Epidemiology, 2022 Introduction: Haplotype analysis allows higher resolution analysis in genetic association studies and is used as a reference panel for genotype imputation in genome-wide association studies. Haplotypes estimates from genotypes among unrelated individuals,
Gie Ken-Dror
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Fiducial Inference on the Right Censored Birnbaum–Saunders Data via Gibbs Sampler
Stats, 2021 In this article, we implement a flexible Gibbs sampler to make inferences for two-parameter Birnbaum–Saunders (BS) distribution in the presence of right-censored data.
Kalanka P. Jayalath
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Improved techniques for sampling complex pedigrees with the Gibbs sampler
Genetics Selection Evolution, 2007 Markov chain Monte Carlo (MCMC) methods have been widely used to overcome computational problems in linkage and segregation analyses. Many variants of this approach exist and are practiced; among the most popular is the Gibbs sampler.
Fernando Rohan L +2 more
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Journal of Agriculture and Food Research, 2021 Bayesian analysis provides a principled way to quantify uncertainty and incorporate data and prior knowledge into parameter estimates. This paper makes the latest in Bayesian methods easier for others to use with a focus on a stochastic plateau crop ...
John N. Ng'ombe, Dayton M. Lambert
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