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Bayesian regression with STAN Part 2: Beyond normality
In a previous post we saw how to perform bayesian regression in R using STAN for normally distributed data. In this post we will look at how to fit non-normal model in STAN using three example...
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Finding Optimal Number of Clusters
CategoriesProgrammingTagsBayesian AnalysisK MeansR ProgrammingIn this post we are going to have a look at one of the problems while applying clustering algorithms such as k-means and expectation...
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The working of Naive Bayes algorithm
CategoriesProgrammingTagsBayesian AnalysisPythonNaïve Bayes is a probability machine learning algorithm which is used in multiple classification tasks. In this article, I’m going to present a complete...
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Bayesian Statistics: Analysis of Health Data
CategoriesRegression ModelsTagsBayesian AnalysisLinear RegressionR Programmingt-testThe premise of Bayesian statistics is that distributions are based on a personal belief about the shape of such a...
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With great powers come great responsibilities: model checks in Bayesian data...
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryAdvanced ModelingTagsBayesian AnalysisMultiple RegressionR ProgrammingAfter months of collecting your data,...
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What’s the intuition behind continuous Naive Bayes –‘behind-the-scenes’ in R
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryAdvanced ModelingTagsBayesian AnalysisData ManagementNaive Bayes is a supervised machine learning algorithm....
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Bayesian regression with STAN: Part 1 normal regression
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryAdvanced ModelingTagsBayesian AnalysisLinear RegressionR ProgrammingThis post will introduce you to bayesian...
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