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Time Series, Health & Evidence Synthesis · Time Series & Forecasting

Time series: stationary linear processes · advanced analysis

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Treatise on Stochastic Processes

Overview

Topics covered

Introduction
Time Series: Stationary Linear Processes
Introduction to time series as stochastic processes
Strong and weak stationarity: analysis and properties of the ACVF
2.1 Stationarity in the Strict Sense (Strong)
2.2 Broad Sense Stationarity (Weak or Second Order)

Related concepts

Main connections

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

\{X_t(\omega) : t \in T, \omega \in \Omega\}

View LaTeX source

\{X_t(\omega) : t \in T, \omega \in \Omega\}