There are places available on the following course:
Course: Introduction to Zero Inflated Models (Bayesian and frequentist approaches) When: 13-17 June 2016 Where: Australian Institute of Marine Science, Perth, Australia Course website: http://highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2016_06Perth_ZI_V2.pdf Keywords: Zero inflated count data. Zero inflated continuous data. Dependency. ZIP and ZAP models. Zero inflated GLMMs with random effects. Bayesian statistics, MCMC and JAGS. lme4, glmmADMB, JAGS. Overdispersion and solutions. Bayesian model selection. Description: Suppose you want to study hippos and the effect of habitat variables on their distribution. When sampling, you may count zero hippos at many sites, potentially resulting in overdispersed Poisson GLMs. In such cases zero inflated models can be applied. During the course several case studies are presented, in which the statistical theory for zero inflated models is integrated with applied analyses in a clear and understandable manner. Zero inflated models consist of two integrated GLMs and therefore we will start with a revision of GLM. Zero inflated GLMMs for nested data (repeated measurements, short time series, clustered data, etc.) are discussed in the second part of the course. We will focus on zero inflated count data, and zero inflated continuous data. -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.