Solutions to pressing environmental problems require understanding connections
between human and natural systems. Analysis of these systems requires a model
that can deal with complexity, is able to exploit data from multiple sources,
and is honest about the uncertainty from multiple sources. Sy
SHORT COURSE: BAYESIAN MODELING FOR SOCIO-ENVIRONMENTAL DATA
The National Socio-Environmental Synthesis Center (SESYNC) located in
Annapolis, Maryland, will host a nine-day short course August 1–10, 2016,
covering basic principles of using Bayesian models to gain insight from
data. The goals of
SHORT COURSE: BAYESIAN MODELING FOR SOCIO-ENVIRONMENTAL DATA
The National Socio-Environmental Synthesis Center (SESYNC) located in
Annapolis, Maryland, will host a nine-day short course August 1–10, 2016,
covering basic principles of using Bayesian models to gain insight from
data. The goals of
SHORT COURSE
Bayesian Modeling for Socio-Environmental Data
HOSTED BY
The National Socio-Environmental Synthesis Center (SESYNC)
Annapolis, Maryland, USA
August 19–28, 2015
APPLICATION DEADLINE
May 29, 2015
ADDITIONAL INFO
http://www.sesync.org/opportunities/bayesian-modeling
