The final program of the 5th joint biometry workshop is now available. Please find the program here: Final_program_BiometryWorkshop2015. The abscracts of the contributions can be retrieved here.
As already planned, Lauri Mehtätalo has accepted our invitation to give tutorials on “Mixed Effects Models in Theory and Practice”. To get an impression on the background, motivation and main topics of his tutorial, please see Flyer of Mixed-Effects Tutorial for a description he provided prior to the workshop.
Imputed tree heights using the example data provided by R-package lmfor (Mehtätalo. 2015)
For further questions concerning orientation in Würzburg, location of the workshop and technical set-up, please contact Sebastian Roersch who assists by organizing the event.
We wish you a safe journey to Würzburg and look eagerly forward to wellcome you here in a fruitful biometry workshop.
The working groups “Ecology and Environment“, “Bayes Methods” and “Spatial Statistics” of the German Region of the International Biometric Society and the Forest Biometrics unit of the German Association of Forest Research Stations (DVFFA) announce the 5th joint biometry workshop to be held in the University of Würzburg-Germany from 7th to 9th of October 2015.
The workshop will focus on all relevant topics in spatial statistics and inference. Along with the presentations held by the interested participants from various disciplines, the workshop will be enriched by a statistical tutorial held by:
Dr. Lauri Mehtätalo
Associate Professor of the Applied Statistics
Universities of Eastern Finnland and Helsinki
“Mixed-Effects Models in Theory and Practice”
The aim of the workshop is to provide a space for presentations and discussions of recent developments in spatial modeling (with particular focus on mixed effects models) and their applications in answering environmental and ecological research questions.
In addition to this tutorial, presentations on the following topics are particularly welcome:
- Various constellations for Mixed-Effects models, including
- Linear Mixed-Effects models
- Linear Mixed-Effects models for multilevel datasets
- Multivariate Mixed-Effects models
- Nonlinear Mixed-Effects models
- Other model-assisted applications in environmental and ecological domains, including various frequentistic/ Bayesian models and their applications for problems e.g. filling missing data, meta-analysis and predictions
- software implementations in various languages (R, C++, Python etc.)
For information on submission of abstracts and registration process click here. The deadline for submission of abstract will be August 15th 2015.
The participation of workshop will be free of charge.