Bayesian regression with STAN: Part 1 normal regression
This post will introduce you to bayesian regression in R, see the reference list at the end of the post for further information concerning this very broad topic. Bayesian regression Bayesian statistics...
View ArticleBayesian 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...
View ArticleFinding 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...
View ArticleThe 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...
View ArticleBayesian 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...
View ArticleWith 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,...
View ArticleWhat’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....
View ArticleBayesian 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...
View ArticleBayesian 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...
View ArticleBayesian regression with STAN Part 2: Beyond normality
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryAdvanced ModelingTagsBayesian AnalysisLinear RegressionR ProgrammingIn a previous post we saw how to perform...
View ArticleFinding Optimal Number of Clusters
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryProgrammingTagsBayesian AnalysisK MeansR ProgrammingIn this post we are going to have a look at one of the...
View ArticleThe working of Naive Bayes algorithm
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryProgrammingTagsBayesian AnalysisPythonNaïve Bayes is a probability machine learning algorithm which is used...
View ArticleBayesian Statistics: Analysis of Health Data
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsBayesian AnalysisLinear RegressionR Programmingt-testThe premise of Bayesian statistics...
View ArticleWith 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,...
View ArticleWhat’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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