Tuesday & Thursday from 1:30-3:00 FISH 203
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| Date | Instructor | Lecture topics | Slides | Video of Lecture | Reading |
|---|---|---|---|---|---|
| 1 Apr |
Mark |
Course overview Properties of time series Data transformations Time series decomposition |
pdf 1 pdf 2 html 1 html 2 Rmd 1 Rmd 2 |
2025 Video |
2021 Video CM09: Chap 1 HA18: Chap 6 HSW18: Intro to ts |
| 3 Apr |
Mark |
Covariance & correlation Autocorrelation & Partial autocorrelation Cross correlation White noise Random walks Differencing |
pdf
1 html 1 Rmd 1 |
|
2021 Video CM09: Chap 2 CM09: Chap 4 HA18: Chap 8.1 HSW18: Intro to ts R script for class |
| 8 Apr |
Mark |
Autoregressive (AR) models Moving average (MA) models Stationary AR models Invertible MA models Using ACF & PACF for model ID |
pdf 1 html 1 Rmd 1 |
|
2021 Video CM09: Chap 6 CM09: Chap 7 HA18: Chap 8.1-8.5 R script for class |
| 10 Apr |
Eli |
Box-Jenkins method Forecasting with ARIMA models Seasonal ARIMA models Exponential Smoothing Models |
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HA18: Chap 8.6-8.9
HA18: Chap 7 H18: ARIMA Models CM09: Chap 7.1-7.2 |
| 15 Apr |
Eli |
Linear Gaussian state space models Kalman filter Random walks |
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2021 Video HWSb: Chap 6 Additional background resources HWS18a: Chap 7 MARSS function MARSS Ref Sheet Auger-Méthé et al 2021 Scripts are in the class repo |
| 17 Apr |
Eli |
Introduction to multivariate state-space models Multivariate random walks |
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2021 Video HWS18a: Chap 8 MARSS function MARSS Ref Sheet example scripts in repo |
| 22 Apr |
Eli |
MARSSX and ARMAX models Seasonal effects Missing covariates |
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2021 Video lec_07_covariates.R MARSS Models HWS18a: Chap 8 Missing Covariates HWS18a: Chap 11 HA18: Chap 5 HA18: Chap 9 H18: Chap 6 |
| 24 Apr |
Mark |
Dynamic factor analysis (DFA) |
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2021 Video Zuur et al. 2003a Zuur et al. 2003b Ohlberger et al. 2016 HWS18a: Chap 10 |
| 29 Apr |
Mark |
Dynamic linear models (DLMs) |
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2021 Video Petris et al. (2009) HWS18a: Chap 16 Scheuerell & Williams (2005) |
| 1 May |
Eric |
Hidden Markov models |
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| 6 May |
Eric |
Bayesian estimation of time-series and state-space models Stan |
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| 8 May |
Eric |
MAP estimation Multivariate models DFA Writing Bayesian models in Stan |
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| 13 May |
Eric |
Multi-model inference and selection Information criteria Cross-validation & LOOIC |
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| 15 May |
All |
Review session |
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| 20 May |
Eric |
Spatial and spatio-temporal models |
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| 22 May |
Eric |
Spatial and spatio-temporal models |
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| 27 May |
Mark |
Frequency domain Fourier transforms Spectral analysis Wavelet analysis |
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| 29 May |
Eli |
MAR(p) Models Estimating interaction strengths Gompertz models Community stability metrics |
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Hampton
et al 2013 Ives et al 2003 HWS18a: Chap 14 & 18 MAR Stability Metrics AR(1) errors Mark’s B estimation talk |
| 3 Jun |
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Student presentations |
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| 5 Jun |
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Student presentations |
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