Business and Industrial Statistics (BISS) Workshop 2019
Title: Functional Data Analysis for Big Data
Facilitator: Jiguo Cao, Simon Fraser University; email@example.com
Dr. Cao is a Tier 2 Canada Research Chair in Data Science and an Associate Professor in the Department of Statistics and Actuarial Science at Simon Fraser University. He also holds an appointment as Associate Faculty Member in the School of Computing Science at that university.
Workshop Description: Functional data analysis (FDA) is a growing statistical field for analyzing curves, images or any manifold objects, in which each random function is treated as a sample element. Functional data can be commonly found in many big data applications such as fitness data from the wearable device, air pollution, longitudinal studies, time-course gene expressions, and brain images. This workshop will cover major FDA methods such as nonparametric regression methods, functional principal component analysis, functional linear regression models, clustering and classification of functional data. All these methods will be demonstrated with real data applications. The R codes for these methods will also be provided and explained.