Reverse-engineering priors in coronavirus discourse

Normal Deviate 2020-04-28

Summary:

Last week we discussed the Santa Clara county study, in which 1.5% of the people tested positive for coronavirus. The authors of the study performed some statistical adjustments and summarized with a range of 2.5% to 4.2% for infection rates in the county as a whole, leading to an estimated infection fatality rate of 0.12% […]

Link:

https://statmodeling.stat.columbia.edu/2020/04/28/reverse-engineering-priors-in-coronavirus-discourse/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

bayesian

Authors:

Andrew

Date tagged:

04/28/2020, 10:55

Date published:

04/28/2020, 09:54