Computational Bayesian Statistics Journal Club
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America/New_York
Zoom
Zoom
Description
DATE and TIME: FRIDAY 31 JULY, 2020 11am EDT
DISCUSSION LEADER: Bob Carpenter, CCM
TOPIC: I’m going to talk about two short case studies I’m working on, both of which are tutorial in nature and should be easy reads (feedback on that front more than welcome). Both are available in html or pdf form
from GitHub:
For probabilistic prediction, full Bayes is better than point estimators
* https://github.com/bob-carpenter/case-studies/tree/master/bayes-versus
Maximum marginal likelihood and posterior approximations with Monte Carlo expectation maximization
* https://github.com/bob-carpenter/case-studies/tree/master/monte-carlo-em
DISCUSSION LEADER: Bob Carpenter, CCM
TOPIC: I’m going to talk about two short case studies I’m working on, both of which are tutorial in nature and should be easy reads (feedback on that front more than welcome). Both are available in html or pdf form
from GitHub:
For probabilistic prediction, full Bayes is better than point estimators
* https://github.com/bob-carpenter/case-studies/tree/master/bayes-versus
Maximum marginal likelihood and posterior approximations with Monte Carlo expectation maximization
* https://github.com/bob-carpenter/case-studies/tree/master/monte-carlo-em
Please email Sara Mejias Gonzalez at smgonzalez@flatironinstitute.org for Zoom information if you would like to participate.
The agenda of this meeting is empty