A user-friendly Bayesian software to analyse mixed models
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Updated
Mar 2, 2023 - R
A user-friendly Bayesian software to analyse mixed models
Jointly model the accuracy of cognitive responses and item choices within a bayesian hierarchical framework as described by Culpepper and Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package contains the datasets used within the analysis of the paper.
An implementation of adPredictor in Java and MapReduce
MCMC Generalized linear model ; Normal Priors
A study on deep learning methods to identify precise boundaries for robot navigation
Service Level Agreement predictions using R (WIP)
Software for flexible Bayesian modelling and Markov chain sampling.
Functional Spatial Temporal Aggregated Dirichlet Process Predictors
CSCI5822 Probabilistic Models in Machine Learning final project [Spring 2021].
Tools for the Bayesian Discount Prior Function
Supporting data and code for manuscript titled 'Modelling the persistence and control of Rift Valley fever virus in a spatially heterogeneous landscape'.
Artificial Intelligence system that generates a crossword puzzle, and also solves it, given a structure and dictionary of words.
Code for DeepPaSTL: Spatio-Temporal Deep Learning Methods for Predicting Long-Term Pasture Terrains using Synthetic Datasets
Slides for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)
Bayesian multinomial logistic regression implemented in R with runjags for MCMC.
Lisp library to, given a set of data, compare models and estimate parameters using Bayesian statistics.
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