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Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]

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Bayesian

I'll soon upload notebooks for Regression, Logistic Regression, Poisson Regression, ANOVA, Hierarchical Modeling, Misture Models and one real life event's Probabilistic Modelling, once my exam gets over. [Done]

For the next task, I'm following two books:

  • Bayesian Data Analysis by Andrew Gelaman
  • Statistical Rethinking by Richard McElreath

Project 01

Attribute Value
Dataset Title Fertility Dataset
Source {UCI} Machine Learning Repository
URL http://archive.ics.uci.edu/ml/datasets/Fertility
Institution University of California, Irvine, School of Information and Computer Sciences
Instances 100
Attributes 10
Characteristics Multivariate, Real

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Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]

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