Posts tagged Bayesian

Report from the 3rd PROFOUND spring school on model calibration and the subsequent WG3 meeting in Grenoble, Fra...

A big thanks to all participants / lecturers of our 2017 PROFOUND spring school on Bayesian calibration, forecasting and multi-model predictions of process-based vegetation models, and the subsequent WG3 meeting on the same topic. The aim of the spring school was, as ever, to teach Bayesian methods for the calibration of process-based models. The training […]

PROFOUND Spring School: Bayesian calibration, forecasting and multi-model predictions of process-based vegetation models in Rencurel / Grenoble, France, 12.-16. of ...

PROFOUND Spring School:  Bayesian calibration, forecasting and multi-model predictions of process-based vegetation models in Rencurel / Grenoble, France, 12.-16. of May

COST Action FP1304 PROFOUND Spring School: Bayesian calibration, forecasting and multi-model predictions of process-based vegetation models This training school will enable participants to apply modern calibration and forecasting methods with their own forest models. The school will cover topics such as – Introduction to Bayesian methods for the calibration of vegetation models – How MCMCs […]

Spring school on forest model calibration and subsequent WG 3 meeting in May in Grenoble, Fra...

By TheMalsa (Own work) [CC BY-SA 3.0 (http://creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons

We are happy to announce two PROFOUND events that will take place back to back in May in and around Grenoble, France. The first event is our first PROFOUND training school on model calibration 12th-16th of May in the mountains close to Grenoble. Details can be found here. The second event is a WG 3 […]

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