SUMMER INSTITUTE AT DUKE UNIVERSITY'S CENTER ON GLOBAL CHANGE:
Uncertainty and Variability in Ecological Inference, Forecasting,
and Decision Making -- An Introduction to Modern Statistical Computation
June 6-19, 2004
A two-week, graduate/post-graduate level ‘summer school’
will introduce ecologists and earth scientists to modern statistical
computation techniques. Ecological inference and forecasting are limited
by large and diverse sources of variability that operate at a range
of scales. Hierarchical Bayes and Markov chain Monte Carlo simulation
provide powerful tools for analyzing processes characterized by multiple
sources of uncertainty and variability.
In this ‘summer school,’ leading statisticians and ecologists
will provide day-long presentations and hands-on training with computation
techniques. Lecture notes will be published as a book together with
approximately four student group chapters. Institute partners will
include advanced graduate students, postdoctoral associates, and new
faculty.
This Summer Institute is being offered through a grant from the National
Science Foundation.
Upper level graduate students, post docs, and new faculty are invited
to apply. Further information can be found here.
