Carnegie Mellon University

Time Series Forecasting

Time series forecasting is a research area focused on predicting future values based on previously observed data points collected over time, leveraging statistical and machine learning techniques. It plays a crucial role in various fields, including finance, economics, weather forecasting, and supply chain management, by enabling organizations to make informed decisions based on trends and patterns.

Department Members with this Research Interest

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Mikael Kuusela

Mikael Kuusela

Assistant Professor

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Ann Lee

Ann Lee

Professor, Co-Director Ph.D. Program

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Cosma Shalizi

Cosma Shalizi

Associate Professor (on leave Fall 2024)

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Will Townes

Will Townes

Assistant Professor

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