9:00-9:15 Welcome: overview of the plan for the day

9:15-10:00 An introduction to state-space models, the Kalman filter and the EM algorithm for analysis of ecological time-series data [Eli]

10:00-10:45 Case study 1: Analysis of a univariate time series of abundance to produce extinction estimates [Brice]

10:45-11:30 Case study 2: Combination of multiple data sets to estimate trends [Eli]

11:30-12:15 Case study 3: Using MSSMs and model selection to make inferences about spatial structure of a population [Eric]

12:15-1:15 Lunch

1:15-1:45 An introduction to time-series models for community dynamics (MAR models) [Eli]

1:45-2:30 Case study 4: Estimation of interaction strengths from noisy time series of abundance [Eric]

2:30-3:00 An introduction to time-series models for animal movement data [just overview of the model structure] [Brice]

3:00-3:15 Break

3:15-4:00 Case study 5: Analysis of noisy animal tracking data [Brice]

4:00-4:30pm Wrap-up and Discussion