Results 21 to 30 of about 103,187 (313)
The bayesvl package: An R package for implementing and visualizing Bayesian statistics
SoftwareX, 2022 The bayesvl R package implements Bayesian analysis using the Stan’s no-U-turn sampler (NUTS). Two distinguished functions that the bayesvl package complements to other developed packages and software performing Bayesian analysis are the “relationship ...
Viet-Phuong La +5 more
doaj +1 more source
Bayesian Learning of Markov Network Structure [PDF]
, 2006 We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend naive Bayes classifiers and outperform existing directed probabilistic classifiers (Bayesian networks) of similar ...
Rish, Irina +3 more
core +1 more source
Mitochondrial DNA. Part B. Resources, 2018 In this study, the complete mitogenome of the blackmouth croaker Atrobucca nibe was obtained. Its mitogenome is 16,842 bp in length, consisting of 37 genes with the typical gene order and direction of transcription in vertebrates.
Wei-Di Yang +3 more
doaj +1 more source
Data concatenation, Bayesian concordance and coalescent-based analyses of the species tree for the rapid radiation of Triturus newts. [PDF]
PLoS ONE, 2014 The phylogenetic relationships for rapid species radiations are difficult to disentangle. Here we study one such case, namely the genus Triturus, which is composed of the marbled and crested newts.
Ben Wielstra +4 more
doaj +1 more source
A Bayesian Decision Tree Algorithm
CoRR, 2019 15 pages, 5 ...
Giuseppe Nuti +2 more
openaire +2 more sources
Bayesian tree-structured image modeling [PDF]
4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002 Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of the wavelet coefficients of real-world data. One potential drawback to the HMT framework is the need for computationally expensive iterative training ...
Justin K. Romberg +2 more
openaire +1 more source
Implicit inequality constraints in a binary tree model [PDF]
, 2011 In this paper we investigate the geometry of a discrete Bayesian network whose graph is a tree all of whose variables are binary and the only observed variables are those labeling its leaves.
Zwiernik, Piotr +3 more
core +1 more source
Sourabh-Shende/BO-Bayesian--Calibration: BO-BayesianCalibration [PDF]
, 2022 Bayesian optimization (BO) code for the Bayesian calibration of hyperelastic material models of the porcine ...
Teng, Long +2 more
core +1 more source
bayesian: Bindings for Bayesian TidyModels [PDF]
Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' . 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) ). The technical details of 'brms' and 'Stan' are described in Bürkner (2017) ,
Bürkner, Paul-Christian +1 more
core +7 more sources
Mitochondrial DNA. Part B. Resources, 2017 In this study, the complete mitogenome of the Pawak croaker Pennahia pawak was first determined. This mitogenome is 16,408 bp in length, and consists of 37 genes with the typical gene order and direction of transcription in vertebrates.
Bai-An Lin, Chang-Chang Guo, Min Liu
doaj +1 more source