Introduction to deep learning, This is a follow-up to one of our previous posts, which you can read here if you missed it. Introduction to Deep Learning Deep learning applications are employed in practically every industry, including health care...

This post explains a two-stage stochastic linear programming (SLP) in a simplified manner and implements this model using R. This exercise is for the clear understanding of SLP model and will be a solid basis for the advanced topics such as multi-st...

Introduction Often when scraping data, websites will ask a user to enter a postal code to get the locations near it. If you are interested in collecting data on locations in Canada for an entire Province or the entire province from a site, it might be hard to find a ...

error: JAVA_HOME cannot be determined from the Registry, This error notice happens most frequently when we try to load the xlsx package. Approach 1: error: JAVA_HOME cannot be determined from the Registry The error message “JAVA HOME canno...

To smooth the process of creating visually striking Shiny UI’s and robust applications, Appsilon is working on designing Cheatsheets for our Shiny packages. The first of these in the Cheatsheet series is the shiny.semantic package. The Cheatsheet will introduce you to shiny.semantic and methods for bringing Semantic ...

Advancements in Symbolic Data Analysis The sixth “One World webinar” organized by YoungStatS will take place on October 27th, 2021. With the development of digital systems, very large datasets have become routine. However, standard statistical app...

When building risk scorecards, apart from the variety of performance metrics, analysts also assess something known as risk-ranking i.e. whether or not the observed event rates increase (or decrease) monotonically with increasing (or decreasing) scores...

Advances in Difference-in-Differences in Econometrics The eighth “One World webinar” organized by YoungStatS will take place on December 13th, 2021. The difference-in-differences design is a quasi-experimental identification strategy for estimatin...

Disclosure risk for microdata Protection against disclosure is a legal and ethical obligation for agencies releasing microdata files for public use. Consider a microdata sample \({X}_n=(X_{1},\ldots,X_{n})\) of size \(n\) from a finite population ...

I was recently browsing reddit and found this AMA from a former mercedes strategy engineer The most surprising thing was that most of the race strategy was calculated using VBA in excel. This isn’t some start up outfit this is the mighty Mercedes winners of the last 7 constructors and ...