State-space modeling workshop


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State-space modeling workshop



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I will be covering estimation of density-independent diffusion models from time series data. I will be illustrating estimation using Kalman filters and showing applications for estimating PVA (population viability analysis) metrics.


8:15am Welcome and course overview
8:30 Lecture 1: Overview of risk assessment for endangered and threatened species
9:00 Lecture 2: Introduction to state-space models for PVA
9:30 Lecture 3: Introduction to the Kalman filter
10:30-11:00 Break
11:00-12:00 Computer Lab 1 & 2: Kalman filter estimation and estimation performance

12:00-1:00 Lunch

1:00-1:30 Lecture 4: Performance of the CDA on real data sets
1:30-2:15 Lecture 5: Overview of uncertainty specification in a likelihood framework
2:15-2:30 Break
2:30-4:00 Computer Lab 3: Analysis of sample data and estimation of IUCN Red List Criteria from count data
4:00-4:30 Open discussion: PVA in practice

4:30-5:00 Wrap-up

Created on May 7, 2007 at 02:22:23 PM by eli

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