This is the Linux app named Bayesian Statistics whose latest release can be downloaded as v2.4.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Bayesian Statistics
DESCRIPTION
This repository holds slides and code for a full Bayesian statistics graduate course. Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from classical inferential statistics that prohibits probability statements about parameters and is based on asymptotically sampling infinite samples from a theoretical population and finding parameter values that maximize the likelihood function. Mostly notorious is null-hypothesis significance testing (NHST) based on p-values.
Features
- Hierarchical Models
- Bayesian Logistic Regression
- Bayesian Regression with Count Data: Poisson Regression
- Common Probability Distributions
- Markov Chain Monte Carlo (MCMC) and Model Metrics
- Model Comparison: Cross-Validation and Other Metrics
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/bayesian-statistics.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
