At useR!2017 in Brussels last month, I contributed to an organized session focused on navigating the 11,000+ packages on CRAN. My collaborators on this session and I recently put together an overall summary of the session and our goals, and now I’d like to talk more about the specific issue ...

Many introductions to Bayesian analysis use relatively simple didactic examples (e.g. making inference about the probability of success given bernoulli data). While this makes for a good introduction to Bayesian principles, the extension of these principles to regression is not straight-forward. This post will sketch out how these principles ...

Trend of US Immigration Enforcement In the coming months I’ll be digging into the immigration enforcement data posted on data.world. I encourage anyone to take this data and either add to the project or to do something on their own. I will be bringing in external data sources ...

K-Means Clustering is a well known technique based on unsupervised learning. As the name mentions, it forms ‘K’ clusters over the data using mean of the data. Unsupervised algorithms are a class of algorithms one should tread on carefully. Using the wrong algorithm will give completely botched up results and ...

Support vector machines are a famous and a very strong classification technique which does not uses any sort of probabilistic model like any other classifier but simply generates hyperplanes or simply putting lines ,to separate and classify the data in some feature space into different regions. Support Vector Classifiers are ...

Judging from the number of JSM talks that incorporated interactive visualizations of some sort or another, it appears that interactive graphics have captured the attention of a good many statisticians. I found this a little surprising. Statisticians, on the whole, are not easily impressed by “eye candy”, and I believe ...

Here's an app that illustrates how fertility and death rates impact the US age structure diagram over time.  The app uses a simple population model to forecast the US age structure in 100 years, starting from 2010 census data and user-selected fertility and death rates.You can find and play with the ...

A popular approach to deal with missing values is to impute the data to get a complete dataset on which any statistical method can be applied. Many imputation methods are available and provide a completed dataset in any cases, whatever the number of individuals and/or variables, the percentage of ...

US Patent (Wikipedia) Statistics is so important field in our daily lives nowadays, the emerging field of 50 years old data science that is applied to almost every human activity now, or post-statistics, a kind of post-rock,  fusing operations research, data mining, software and performance engineering and of course multitude fields ...