Contextual movement models based on normalizing flows

DOI10.1007/s10182-021-00412-wOpenAlexW3204564902MaRDI QIDQ6107401

Sebastian Mair, Samuel G. Fadel, Ricardo da Silva Torres, Ulf Brefeld

Publication date: 3 July 2023

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-021-00412-w

zbMATH Keywords

density estimationmovement modelsspatiotemporal datasports analyticsnormalizing flowssoccer data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Editorial special issue: statistics in sports

Cites Work

• Unnamed Item
• Spatio-temporal convolution kernels
• Density estimation by dual ascent of the log-likelihood
• Hierarchical nonlinear spatio-temporal agent-based models for collective animal movement
• A Family of Nonparametric Density Estimation Algorithms
• Multivariate Density Estimation