#计算机科学#Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
Material for a workshop on Bayesian stats with R
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.
#计算机科学#Bayesian estimation of the finishing skill of football players
Material for a Bayesian statistics workshop
An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data
Slides and code for the Stable Isotope Mixing Models course given by Andrew Parnell and Andrew Jackson
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling i...
An introduction to hierarchical Bayesian modelling with R, JAGS and STAN
Fit multievent capture-recapture models in R (maximum-likelihood), Nimble and JAGS (Bayesian)
The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion ...
Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JAGS with R2jags, the JAGS Wiener module, mixture modeling in JAG...
Markov Chain Monte Carlo binary network optimization