A functional data approach to model score difference process in professional basketball games

DOI10.1080/02664763.2016.1268106OpenAlexW2567192494MaRDI QIDQ5139089

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Publication date: 7 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1268106

zbMATH Keywords

basketballFDA and momentumscores difference progresssports modeling

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

In-game win probabilities for the National Rugby League ⋮ Rank dynamics for functional data ⋮ Having a ball: evaluating scoring streaks and game excitement using in-match trend estimation ⋮ Testing and ranking on round-robin design for data sport analytics with application to basketball ⋮ A gamma process based in-play prediction model for National Basketball Association games ⋮ Identifying key factors in momentum in basketball games

Uses Software

• fda (R)

Cites Work

• Competing process hazard function models for player ratings in ice hockey
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• A Hausman test for Brownian motion
• Functional data analysis.
• A State-Space Model for National Football League Scores
• Prospect Theory: An Analysis of Decision under Risk
• Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed-form Approximation Approach

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