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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 |
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Institute Overview An 11-day graduate/post-graduate level summer institute 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. Leading statisticians and ecologists will provide day-long presentations and hands-on training with Computation techniques. The Summer school will convene at Duke University¹s Center on Global Change in the Nicholas School of the Environment. The cost of lodging and meals will be covered by a grant to course organizers; participants may request up to $500 for travel according to need. Dates of Course: To Apply: NOTE: Application deadline has been extended to February 3. Institue Format: |
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