SAFS Time Series

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Lectures from Fish 550 -- Applied Time Series Analysis School of Aquatic and Fishery Sciences, University of Washington, Seattle WA, USA course website: http...

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ATSA25 Lecture 14 - Spatial and spatio-temporal models

ATSA25 Lecture 13 - Multi-model inference and selection

ATSA25 Lecture 12 - Multivariate GAMS

ATSA25 Lecture 11 - Generalized additive models

ATSA25 Lecture 8 - Dynamic factor analysis (DFA)

ATSA2025 Lecture 7 MARSSX and ARMAX models

ATSA25 Lecture 6 - Introduction to multivariate state-space models

ATSA25 Lecture 5 - Holt-Winters models and Intro to state-space models

ATSA25 Lecture 4 - Forecasting with ARIMA models

ATSA25 Lecture 3 - Intro to ARMA Models

ATSA25 Lecture 2 - Stationarity and Introductory functions

ATSA25 Lecture 1 - Intro to the ATSA course

Forecasting with ARIMA models

Fitting and Selecting ARIMA models

Intro to ARIMA models

ATSA21 Lecture 20 Regression versus State Space

ATSA21 Lecture 19 Spatio-temporal models 2

ATSA21 Lecture 18 Spatio-temporal models 1

ATSA21 DLM Lab

ATSA21 Lecture 17 Frequency domain models

ATSA21 Lecture 16 Semi- and non-parametric models

ATSA21 Lecture 14 Multi-model inference and selection

ATSA21 Lecture 15 B Matrix Estimation

ATSA21 Lecture 13 Multivariate Bayesian estimation

ATSA21 Lecture 12 Univariate Bayesian estimation

ATSA21 Lecture 6 Univariate state-space models

ATSA21 Lecture 11 Hidden Markov Models

ATSA21 Lecture 10 Dynamic linear models (DLMs)

ATSA21 Lecture 9 Dynamic factor analysis (DFA)

ATSA21 Lecture 8 ARMA and MARSS models with covariates