STA 257 - Topics: Introduction to Time Series (1)

Time series analysis is a vital set of tools to investigate data from many fields such as business, economics, engineering, biology, medicine, social sciences, and politics. Often change (or absence) of a variable over time is worth understanding and possibly anticipating. In this class an array of time series methods will be covered including those for correlation analysis and forecasting, stochastic models, regression analysis with time related variables, and stationary/nonstationary models. A theoretical foundation will be given for each method along with examples and projects using current publicly available data.