An important reminder that October 14 is the deadline for regular registration to BayesComp 2020 as late fees will apply afterwards!!! The conference looks attractive enough to agree to pay more, but still…
Archive for AutoStat
don’t be late for BayesComp’2020
Posted in Statistics with tags AutoStat, BayesComp 2020, Bayesian computing, conference, conference fees, Florida, Gainesville, ISBA, MCMSki, Nimble, SAS, STAN, tutorial, University of Florida on October 4, 2019 by xi'andeadlines for BayesComp’2020
Posted in pictures, Statistics, Travel, University life with tags AutoStat, BayesComp 2020, Bayesian computing, conference, Florida, Gainesville, ISBA, Nimble, SAS, STAN, tutorial, University of Florida on August 17, 2019 by xi'anWhile I have forgotten to send a reminder that August 15 was the first deadline of BayesComp 2020 for the early registrations, here are further deadlines and dates
- BayesComp 2020 occurs on January 7-10 2020 in Gainesville, Florida, USA
- Registration is open with regular rates till October 14, 2019
- Deadline for submission of poster proposals is December 15, 2019
- Deadline for travel support applications is September 20, 2019
- There are four free tutorials on January 7, 2020, related with Stan, NIMBLE, SAS, and AutoStat
BayesComp 20 [full program]
Posted in pictures, R, Statistics, Travel, University life with tags AutoStat, AutoStat Institute, BayesComp 2020, Bayesian computation, breaking news, conference, Florida, Gainesville, ISBA, Nimble, poster session, travel support, tutorial, University of Florida on April 15, 2019 by xi'an
The full program is now available on the conference webpage of BayesComp 20, next 7-10 Jan 2020. There are eleven invited sessions, including one j-ISBA session, and a further thirteen contributed sessions were selected by the scientific committee. Calls are still open for tutorials on Tuesday 07 January (with two already planed on Nimble and AutoStat) and for posters. Now is the best time for registering! Note also that travel support should be available for junior researchers.
Xi'an's Og 