Week	Lecture	Topics	Reading	R Code
1	Introduction to Time Series	Decomposition, backshift operator, differencing, etc		Download data
1	Covariance and Correlation	Examining covariance and correlation
2	Univariate time series models	Stationary and nonstationary models for univariate time series
2	Estimation and Forecasting	Estimation procedures for fitting time series models
3	Univariate time series models	Introduction to univariate state-space models	MARSS Ref Sheet	univariate_example_1.R univariate_example_2.R univariate_example_3.R univariate_example_4.R
3	Estimation and Forecasting	Introduction to multivariate state-space models	Chap 1 and 7 in MARSS User Guide	MARSS_example_1.R MARSS_example_2.R MARSS_example_3.R MARSS_example_4.R MARSS_example_5.R
4	Covariates in SS models	Including seasonality and covariates in models; dealing with missing covariates and colinearity
5	Intro to DLM	Introduction to Dynamic Linear Modeling	Chap 15 in MARSS User Guide
5	DLM Applications	Examples of real-world applications of DLMs.
6	Exponential Smoothing	Exponential smoothing models
6	Dynamic Factor Analysis	Dynamic factor analysis	Chap 9 in MARSS User Guide	DFA_with_the_MARSS_pkg.R
7	GLMs 1	Review of generalized linear models
7	GLMs 2	Dealing with zeros and non-normal data
7	Bayesian estimation	Bayesian estimation with STAN
8	Spatial correlation	Spatiotemporal models		Analyzing Snotel data.R SNOTEL_metadata.csv SNOTEL_Washington_1981_2013.csv
8	Estimating Interactions I	Estimating species interaction strengths from ts data	Ives et al 2003	Gompertz_example_0.R Gompertz_example_1.R Gompertz_example_2.R
9	Estimating Interactions II	Estimating species interaction strengths from ts data	Chap 13 in MARSS User Guide	GompertzSS_REML.R
9	Intervention Effects	Detecting intervention effects in ts data		indicator_examples.R
9	Standardized Residuals	Detecting perturbations in ts data	Chap 11 in MARSS User Guide
10	[Road Map of MARSS models(Files/Table of MARSS models.pdf)