Workshop "BART - Bayesian additive regression trees"
Workshop of the IBS-DR working groups Ecology and Envoronment, Bayes Methods, Spatial Statistics as well as the DFFA working group Biometry.
Freising (or online), April 24-26, 2024.
Venue:
Bayerische Landesanstalt für Wald und Forstwirtschaft (LWF)
Hans-Carl-von-Carlowitz-Platz 1
85354 Freising
48° 24' 00.1"N 11° 43' 03.4"E
Announcement and call for papers
(Preliminary) program
(exact order of presentations still to be finalized):
Wednesday, April 24, 2024:
| 16:00-16:30 | Welcome | |
| 16:30-18:00 | Colin Carlson (Georgetown University, Washington D.C.): BART - Bayesian Additive Regression Trees | |
| 18:00-18:30 | Tobias Mette (LWF Bayern): Purposive sampling across different data sources for a robust forest risk assessment by species distribution modelling | [abstract] |
| 19:30 | Joint dinner at Bräustüberl Weihenstephan |
Thursday, April 25, 2024:
| 09:00-10:30 | Jeremy Yoder (California State University, Northridge): Tutorial: Bayesian additive regression trees (Part I) | |
| 10:30-11:00 | Break | |
| 11:00-11:30 | Hendrik Edelhoff (LWF Bayern): Bayesian implementation of a spatial capture recapture model to infer sex-specific density gradients in a mountain ungulate | [abstract] |
| 11:30-12:00 | Leonie Gass (University of Bayreuth): Next forest generation - predicting current forest regeneration | [abstract] |
| 12:00-12:30 | Johannes Ponge (University of Münster): Agent-based simulations in spatial epidemiology | [abstract] |
| 12:30-14:00 | Lunch break | |
| 14:00-15:30 | Jeremy Yoder (California State University, Northridge): Tutorial: Bayesian additive regression trees (Part II) | |
| 15:30-16:00 | Break | |
| 16:00-17:30 | Jeremy Yoder (California State University, Northridge): Tutorial: Bayesian additive regression trees (Part III) | |
| 17:30-17:45 | Break | |
| 17:45-18:30 | Working group meetings | |
| 19:00 | Joint dinner at Schubauers am Dom |
Friday, April 26, 2024:
| 09:00-10:30 | Jeremy Yoder (California State University, Northridge): Tutorial: Bayesian additive regression trees (Part IV) | |
| 10:30-11:00 | Break | |
| 11:00-11:30 | Andreas Bender (LMU München): Evaluation of (machine learning) prediction models for spatially correlated data | [abstract] |
| 11:30-12:00 | Maximilian Pichler (University of Regensburg): Inductive bias in machine learning models - consequences for causal effects and predictions under feature collinearity | [abstract] |
| 12:00-12:30 | Closing |
(note: all times are CEST (UTC+2))