The following Matlab project contains the source code and Matlab examples used for modeling lung cancer diagnosis using bayesian network inference.
A simple Bayesian Network example for exact probabilistic inference using Pearl's message-passing algorithm on singly connected graphs.
The following Matlab project contains the source code and Matlab examples used for bayesian linear classifier.
This function uses Bayesian inference to find the optimal linear separator in a binary classification problem.
The following free r packages , r projects , r code , and r examples are used for Bayesian reconstruction of growth velocity. A nonparametric empirical Bayes method for recovering gradients (or growth velocities) from observations of smooth functions (e.g., growth curves) at isolated time points.
The following free r packages , r projects , r code , and r examples are used for Bayesian Essentials with R. bayess contains a collection of functions that allows the
reenactment of the R programs used in the book "Bayesian Essentials with R" (revision of "Bayesian Core") without further programming.
The following free r packages , r projects , r code , and r examples are used for Bayesian Palaeoclimate Reconstruction from Pollen. This package takes pollen/time data from lake cores and produces a Bayesian posterior distribution of palaeoclimate from that location after fitting a non-linear non-Gaussian state-space model.
The following source code and examples are used for Bias-corrected Bayesian Classification with Selected Features that predict the discrete class labels based on a selected subset of high-dimensional features, such as expression levels of genes.
The following source code and examples are used for Hierarchical Bayesian Analysis of Recognition Memory that Contains functions for fitting hierarchical versions of EVSD, UVSD, DPSD, DPSD with d' restricted to be positive.
The following source code and examples are used for Bayesian Sampling for Stick-breaking Mixtures that implement sampling algorithms for a variety of Bayesian stick-breaking (marginally DP) mixture models.
The following source code and examples are about Objective Bayesian Testing for the Hardy-Weinberg Equilibrium Problem that implements the general (multiallelic) Hardy-Weinberg equilibrium problem from an objective Bayesian testing standpoint.
The following source code and examples are about Bayesian Methods for Identifying the Most Harmful Medication Errors that implements two distinct but related statistical approaches to the problem of identifying the combinations of medication error characteristics that are more likely to result in harm.
The following package and source code is based on A Bayesian Regression Approach to the Inference of Regulatory Networks from Gene Expression Data. The algorithm we use is the Sparse Bayesian regression algorithm of Tipping and Faul.
Non-inferiority trials test whether a new product is not unacceptably worse than a product already in use. A Bayesian testing procedure for noninferiority trials with binary endpoints. The prior is constructed based on Bernstein polynomials with options for both informative and non-informative prior.