Bayesian Statistics download for Windows

This is the Windows 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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SCREENSHOTS:


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

Data Visualization

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.



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