Using Stan to improve rice yields

November 7, 2017
By

(This article was originally published at Statistical Modeling, Causal Inference, and Social Science, and syndicated at StatsBlogs.)

Matt Espe writes:

Here is a new paper citing Stan and the rstanarm package.

Yield gap analysis of US rice production systems shows opportunities for improvement. Matthew B. Espe, Kenneth G. Cassman, Haishun Yang, Nicolas Guilpart, Patricio Grassini, Justin Van Wart, Merle Anders, Donn Beighley, Dustin Harrell, Steve Linscombe, Kent McKenzie, Randall Mutters, Lloyd T. Wilson, Bruce A. Linquist. Field Crops Research. Volume 196, September 2016, Pages 276–283.

Many thanks to everyone on the development team for some excellent tools!

I’ve not read the paper, but, hey, if Stan can improve U.S. rice yields by a factor of 1.5, that’s cool. Then all our research will have been worth it.

The post Using Stan to improve rice yields appeared first on Statistical Modeling, Causal Inference, and Social Science.



Please comment on the article here: Statistical Modeling, Causal Inference, and Social Science

Tags: ,


Subscribe

Email:

  Subscribe