ATSA25 Lecture 14 - Spatial and spatio-temporal models
SAFS Time Series
ATSA25 Lecture 14 - Spatial and spatio-temporal models
1:14:51
ATSA25 Lecture 13 - Multi-model inference and selection
SAFS Time Series
ATSA25 Lecture 13 - Multi-model inference and selection
1:07:02
ATSA25 Lecture 12 - Multivariate GAMS
SAFS Time Series
ATSA25 Lecture 12 - Multivariate GAMS
1:02:32
ATSA25 Lecture 11 - Generalized additive models
SAFS Time Series
ATSA25 Lecture 11 - Generalized additive models
1:20:20
ATSA25 Lecture 8 - Dynamic factor analysis (DFA)
SAFS Time Series
ATSA25 Lecture 8 - Dynamic factor analysis (DFA)
1:31:09
ATSA2025 Lecture 7 MARSSX and ARMAX models
SAFS Time Series
ATSA2025 Lecture 7 MARSSX and ARMAX models
1:26:11
ATSA25 Lecture 6 - Introduction to multivariate state-space models
SAFS Time Series
ATSA25 Lecture 6 - Introduction to multivariate state-space models
1:36:54
ATSA25 Lecture 5 - Holt-Winters models and Intro to state-space models
SAFS Time Series
ATSA25 Lecture 5 - Holt-Winters models and Intro to state-space models
1:19:17
ATSA25 Lecture 4 - Forecasting with ARIMA models
SAFS Time Series
ATSA25 Lecture 4 - Forecasting with ARIMA models
1:26:56
ATSA25 Lecture 3 - Intro to ARMA Models
SAFS Time Series
ATSA25 Lecture 3 - Intro to ARMA Models
1:15:13
ATSA25 Lecture 2 - Stationarity and Introductory functions
SAFS Time Series
ATSA25 Lecture 2 - Stationarity and Introductory functions
1:06:25
ATSA25 Lecture 1 - Intro to the ATSA course
SAFS Time Series
ATSA25 Lecture 1 - Intro to the ATSA course
1:05:56
Forecasting with ARIMA models
SAFS Time Series
Forecasting with ARIMA models
7:37
Fitting and Selecting ARIMA models
SAFS Time Series
Fitting and Selecting ARIMA models
45:06
Intro to ARIMA models
SAFS Time Series
Intro to ARIMA models
13:27
ATSA21 Lecture 20: Regression versus State Space
SAFS Time Series
ATSA21 Lecture 20: Regression versus State Space
15:13
ATSA21 Lecture 19: Spatio-temporal models 2
SAFS Time Series
ATSA21 Lecture 19: Spatio-temporal models 2
22:27
ATSA21 Lecture 18: Spatio-temporal models 1
SAFS Time Series
ATSA21 Lecture 18: Spatio-temporal models 1
55:01
ATSA21 DLM Lab
SAFS Time Series
ATSA21 DLM Lab
1:02:29
ATSA21 Lecture 17: Frequency domain models
SAFS Time Series
ATSA21 Lecture 17: Frequency domain models
53:09
ATSA21 Lecture 16: Semi- and non-parametric models
SAFS Time Series
ATSA21 Lecture 16: Semi- and non-parametric models
1:13:20
ATSA21 Lecture 14: Multi-model inference and selection
SAFS Time Series
ATSA21 Lecture 14: Multi-model inference and selection
59:29
ATSA21 Lecture 15: B Matrix Estimation
SAFS Time Series
ATSA21 Lecture 15: B Matrix Estimation
1:24:57
ATSA21 Lecture 13: Multivariate Bayesian estimation
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ATSA21 Lecture 13: Multivariate Bayesian estimation
59:14
ATSA21 Lecture 12: Univariate Bayesian estimation
SAFS Time Series
ATSA21 Lecture 12: Univariate Bayesian estimation
1:09:54
ATSA21 Lecture 6: Univariate state-space models
SAFS Time Series
ATSA21 Lecture 6: Univariate state-space models
53:10
ATSA21 Lecture 11: Hidden Markov Models
SAFS Time Series
ATSA21 Lecture 11: Hidden Markov Models
49:54
ATSA21 Lecture 10: Dynamic linear models (DLMs)
SAFS Time Series
ATSA21 Lecture 10: Dynamic linear models (DLMs)
1:24:54
ATSA21 Lecture 9: Dynamic factor analysis (DFA)
SAFS Time Series
ATSA21 Lecture 9: Dynamic factor analysis (DFA)
1:37:28
ATSA21 Lecture 8: ARMA and MARSS models with covariates
SAFS Time Series
ATSA21 Lecture 8: ARMA and MARSS models with covariates
53:24
ATSA21 Lecture 7: Multivariate State-Space models
SAFS Time Series
ATSA21 Lecture 7: Multivariate State-Space models
45:56
ATSA21 Lecture 5: More Fitting ARIMA models
SAFS Time Series
ATSA21 Lecture 5: More Fitting ARIMA models
45:46
ATSA21 Lecture 1: Intro to the ATSA course
SAFS Time Series
ATSA21 Lecture 1: Intro to the ATSA course
1:05:22
ATSA21 Lecture 4: Fitting and Selecting ARIMA models
SAFS Time Series
ATSA21 Lecture 4: Fitting and Selecting ARIMA models
1:18:11
ATSA21 Lecture 3: Intro to ARMA models
SAFS Time Series
ATSA21 Lecture 3: Intro to ARMA models
1:04:39
ATSA21 Lecture 2: Stationarity & introductory functions
SAFS Time Series
ATSA21 Lecture 2: Stationarity & introductory functions
1:06:12
ATSA19 Lecture 10 Bayesian estimation
SAFS Time Series
ATSA19 Lecture 10 Bayesian estimation
1:38:16
ATSA19 Lecture 12 HMMs
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ATSA19 Lecture 12 HMMs
47:11
ATSA19 Lecture 13: Exponential smoothing
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ATSA19 Lecture 13: Exponential smoothing
1:11:05
ATSA19 Lecture 5: Univariate State-Space Models
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ATSA19 Lecture 5: Univariate State-Space Models
57:15
ATSA19 - Lecture 05 MARSS
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ATSA19 - Lecture 05 MARSS
1:23:28
ATSA19 Lecture 14 - MARSS covariates
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ATSA19 Lecture 14 - MARSS covariates
1:18:48
ATSA19 Lecture 17 - Interactions
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ATSA19 Lecture 17 - Interactions
1:12:01
FISH 507 - lecture 16 - frequency domain
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FISH 507 - lecture 16 - frequency domain
56:08
FISH 507 - lecture 12 - Hidden Markov Models
SAFS Time Series
FISH 507 - lecture 12 - Hidden Markov Models
49:41
FISH 507 - lecture 10 - Introduction to Bayesian estimation for time series
SAFS Time Series
FISH 507 - lecture 10 - Introduction to Bayesian estimation for time series
56:36
FISH 507 - lecture 09 - Introduction to DLMs
SAFS Time Series
FISH 507 - lecture 09 - Introduction to DLMs
43:15
ATSA19 Lecture 8: Introduction to Dynamic Factor Analysis
SAFS Time Series
ATSA19 Lecture 8: Introduction to Dynamic Factor Analysis
37:37
Fish 507 - lecture 04 - Box-Jenkins Method
SAFS Time Series
Fish 507 - lecture 04 - Box-Jenkins Method
1:38:36
FISH 507 - lecture 07 - model selection and cross validation
SAFS Time Series
FISH 507 - lecture 07 - model selection and cross validation
47:59
FISH 507 - lecture 03 - Introduction to ARMA models
SAFS Time Series
FISH 507 - lecture 03 - Introduction to ARMA models
43:37
FISH 507 - lecture 02 - Statistical properties & stationarity
SAFS Time Series
FISH 507 - lecture 02 - Statistical properties & stationarity
33:55
FISH 507 - lecture 01 - Introduction to time series analysis
SAFS Time Series
FISH 507 - lecture 01 - Introduction to time series analysis
19:52
FISH 507 - computer lab 01 - matrices & intro ts functions
SAFS Time Series
FISH 507 - computer lab 01 - matrices & intro ts functions
46:00