STA457: Time Series Analysis MOC
This map indexes every atomic note for STA457 along stationarity, classical decomposition, AR/MA/ARMA models, and forecasting.
Time Series Fundamentals
Core time series concepts.
- Time Series
- Stochastic Process vs Time Series
- Time Series Characteristics
- Stationarity
- Strict Stationarity
- Weak Stationarity
- Strict vs Weak Stationarity
Autocovariance and Autocorrelation
Autocovariance and autocorrelation functions.
Variance and Covariance Properties
Variance and covariance properties.
White Noise and IID Processes
White noise and independent, identically distributed (i.i.d.) processes.
Correlation Concepts
Correlation-related ideas.
Classical Decomposition
Classical decomposition methods.
- Classical Decomposition
- Trend Estimation — Moving Average Filter
- Trend Estimation — Regression
- Trend Estimation — Exponential Smoothing
- Trend Elimination — Differencing
- Seasonality Estimation and Elimination
Linear Processes and Filters
Linear processes and linear filters.
Autoregressive Processes
Autoregressive (AR) processes.
- Autoregressive Process
- AR(1) — Random Walk
- AR(1) — Causal Case
- AR(1) — Non-causal Stationary Case
- AR(1) — Causality vs Stationarity Summary
- Prediction for Causal AR(p)
Moving Average Processes
Moving average (MA) processes.
ARMA Processes
Autoregressive moving average (ARMA) processes.
Forecasting and Prediction
Forecasting and optimal prediction.
- Best Predictor — Conditional Expectation
- Best Linear Predictor
- Best Linear Predictor — General (Theorem 1.2)
- Best Linear Predictor — P_n X_{n+h}
- Forecasting
- AR Forecasting
- Prediction Error
- Prediction Error Properties
- Prediction Intervals
Reference Materials
- STA457 Notation Index
- STA457_FORMULA_INDEX
- AR(1) Three Regimes
- MA(q) Complete Analysis
- ARMA from Definition to Prediction
- Stationarity Verification Pipeline
- From Raw Series to Stationary Residuals
- Best Linear Prediction for Stationary Series
- Exam Pattern - Stationarity and ACVF Computation
- Exam Pattern - Best Linear Prediction
- Exam Pattern - Difference Operators and Seasonality
Last updated: 2026-04-01