🎉 The Bay Area R useR Meetup is reconnecting on October 15, 2024! Enjoy an evening of pizza, talks, and networking. Hear from John Mount, Earl Hubbell, and Bob Horton as they share insights on #RStats, Bayesian systems, and semantic search.

🍕 Pizza starts at 6:30 PM!

🔗 RSVP: meetup.com/r-users/events/303488652

#RConsortium #BayesianModeling #CancerResearch #SemanticSearch #DataScience #Networking

Re-#introduction as I moved back over from Fosstodon!

I'm a professor of political science and director of the Security Studies Program at Kansas State University. My work focuses mostly on foreign policy and the social, political, and economic effects of US military deployments. Personally, my interests have been drifting more into #RStats stuff, multilevel modeling, and #BayesianModeling over the last few years, and I'm mostly striving to be less bad at all that.

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#PyMCon2023 #PyMC #BayesianModeling #Bayesian

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Impact of the #Euro2020 championship on the spread of #COVID19

#OpenAccess

"Using #BayesianModeling and the gender imbalance in COVID-19 data, 840,000 (95% CI: [0.39M, 1.26M]) COVID-19 cases across 12 countries can be attributed to the championship.
The strongest effects are seen in #Scotland and #England, where as much as 10,000 primary cases per million inhabitants occur from championship-related gatherings"

https://www.nature.com/articles/s41467-022-35512-x

Impact of the Euro 2020 championship on the spread of COVID-19 - Nature Communications

In this Bayesian inference study, the authors aim to quantify the impact of the men’s 2020 UEFA Euro Football Championship on COVID-19 spread in twelve participating countries. They estimate that 0.84 million cases and 1,700 deaths were attributable to the championship, with most impacts in England and Scotland.

Nature

Looking for input from fediverse quant social science researchers:

What are some of your favorite social science articles that use Bayesian linear modeling?

I want to provide my graduate methods students with a list of good examples of how to use Bayesian models for actual research and of how to present the analyses to their audiences.

All of my examples are narrowly within my field.

What do you got?

#BayesianModeling #Bayesian #SocialScience #Sociology #QuantitativeSocialScience #rstats

https://statmodeling.stat.columbia.edu/2022/11/23/time-series-forecasting-futile-but-necessary-an-example-using-electricity-prices/ I really appreciate the honesty of this post on the necessity and futility of forecasting. It also underlines the need for better capturing uncertainty and move away from point estimates. But yeah, sometimes you need a bad forecast rather than nothing #forecasting #BayesianModeling
Time Series Forecasting: futile but necessary. An example using electricity prices. | Statistical Modeling, Causal Inference, and Social Science

@FCAI Update on Zheyang’s status: The opponent got there on the last minute, gave an enlightening view of the position of the thesis in #BayesianModeling and #GaussianProcess es, and asked a set of broad and challenging questions. Zheyand did outstandingly well, with still some unsolved questions which he will be eager to pursue when on the job market at some point. Big congrats Zheyang Shen and many thanks opponent Chris Oates! #PhD #AaltoUniversity @FCAI

I guess I never did an #Introduction On Here!

I'm an associate professor of political science and director of the Security Studies Program at Kansas State University. My work focuses mostly on foreign policy and the social, political, and economic effects of US military deployments. Personally, my interests have been drifting more into #RStats stuff, multilevel modeling, and #BayesianModeling over the last few years, and I'm mostly striving to be less bad at all that because I really enjoy it.

I guess I never did an #Introduction On Here!

I'm an associate professor of political science and director of the Security Studies Program at Kansas State University. My work focuses mostly on foreign policy and the social, political, and economic effects of US military deployments. Personally, my interests have been drifting more into #RStats stuff, multilevel modeling, and #BayesianModeling over the last few years, and I'm mostly striving to be less bad at all that because I really enjoy it.