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Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models
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Understand and Describe Bayesian Models and Posterior Distributions
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Bayes Factors, Model Choice and Variable Selection in Linear Models
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Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan'
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Bayesian Change-Point Detection for Process Monitoring with Fault Detection
a year ago by Jarod Smith
Bayesian Shrinkage Estimators for Precision Matrices in Gaussian Graphical Models
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Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating
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Computation of Bayes Factors for Common Biomedical Designs
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Bayesian Stability Analysis of Genotype by Environment Interaction (GEI)
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On Bayesian Analysis of Threshold Autoregressive Models
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Identification of Bull and Bear States of the Market
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Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
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Client for the Deutsche Bundesbank and European Central Bank APIs
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Create Simple Predictive Models on Bayesian Belief Networks
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Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data
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Block Coordinate Ascent with One-Step Generalized Rosen Algorithm
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Bias Corrected Bootstrap Confidence Intervals
9 years ago by Longhai Li
Bias-Corrected Bayesian Classification with Selected Features
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Calculation of Option Prices Based on a Universal Solution
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Bayesian Consensus Clustering for Multiple Longitudinal Features
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Bayesian Structure and Causal Learning of Gaussian Directed Graphs
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Semiparametric Bivariate Correlated Frailty Models Fit
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Bivariate Correlated Frailty Models with Varied Variances
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Bias-Corrected Estimates for Generalized Linear Models for Dependent Data
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Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate Estimation, and Non-Parametric Phase Modelling
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A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data
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Bayesian Continual Reassessment Method for Phase I Dose-Escalation Trials
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Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests
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A Bayesian Semiparametric Factor Analysis Model for Subtype Identification (Clustering)
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Darwinizer: Darwin Core (DwC) Field Names Standardization
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Efficient Determination of Sample Size in Balanced Design of Experiments
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Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
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Bayesian Adaptive Designs for Phase II Trials with Binary Endpoint
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Inference and Design for Predictive Values in Diagnostic Tests
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Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data
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Bayesian Inference for Discrete Weibull Regression
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Visualization via Beanplots (Like Boxplot/Stripchart/Violin Plot)