Tag: bootstrapping

Visualizing model uncertainty

Visualizing model uncertainty

ungeviz is a new R package by Claus Wilke, whom you may know from his amazing work and books on Data Visualization. The package name comes from the German word “Ungewissheit”, which means uncertainty. You can install the developmental version via: devtools::install_github("clauswilke/ungeviz") The package includes some bootstrapping functionality that, when combined with ggplot2 and gganimate, can produce … Continue reading Visualizing model uncertainty

A/B testing and Statistics at Etsy, by Emily Robinson

A/B testing and Statistics at Etsy, by Emily Robinson

Generating numbers is easy; generating numbers you should trust is hard! Emily Robinson is a data scientist at Etsy, an e-commerce website for handmade and vintage products. In the #rstats community, Emily is nearly as famous as her brother David Robinson, whom we know from the tidytext R-package. Like any large tech company, Etsy relies heavily … Continue reading A/B testing and Statistics at Etsy, by Emily Robinson

Must read: Computer Age Statistical Inference (Efron & Hastie, 2016)

Must read: Computer Age Statistical Inference (Efron & Hastie, 2016)

Statistics, and statistical inference in specific, are becoming an ever greater part of our daily lives. Models are trying to estimate anything from (future) consumer behaviour to optimal steering behaviours and we need these models to be as accurate as possible. Trevor Hastie is a great contributor to the development of the field, and I … Continue reading Must read: Computer Age Statistical Inference (Efron & Hastie, 2016)