Blog: Data Science Insights

BIDS hosts the inaugural GraphXD workshop

Jarrod Millman / April 13, 2018

During spring break (March 27–29, 2018), BIDS hosted the first annual Graphs Across Domains (GraphXD) workshop. Lauren Ponisio

Automatic MCMC hyperparameter sensitivity measurements in Stan -- A worked example

Ryan Giordano / January 31, 2018

We will now follow up our previous post on automatic MCMC hyperparameter sensitivity with a detailed use case taken from the Stan examples. All the code to produce the results below, as well as more examples, can be found in the examples folder on the rgiordan/StanSensitivity git repo. This simple, real-life example has a number of interesting features:

Automatic MCMC hyperparameter sensitivity measurements in Stan

Ryan Giordano / January 19, 2018

A Bayesian approach to statistical modeling comes with many advantages. For example, it's the only logically coherent way to model uncertainty of parameter estimates! Being Bayesian has never been easier than it is now, thanks to high-quality, easy-to-use automatic tools like Stan.

2017 TextXD Conference - Videos and Commentary

Marsha Fenner / December 2, 2017

  THURSDAY, NOVEMBER 30 at BIDS (190 Doe Library) Host Nick Adams, a researcher at BIDS and founder of GoodlyLabs, welcomed this year's participants. 10:10-10:35 AM John Mohr, University of California, Santa BarbaraThe Frontiers of Social Scientific Text Analysis

Beauty vs. Function: Not a Problem in Superheat

/ March 20, 2017

by Kasia Metkowski Data meets narrative in Rebecca Barter’s Superheat, an R package that creates colorful and customizable heatmaps. 

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