Hoopinsight: Analyzing and comparing basketball shooting performance through visualization
Data visualization has the power to revolutionize sports. For example, the rise of shot maps
has changed basketball strategy by visually illustrating where “good/bad” shots are taken …
has changed basketball strategy by visually illustrating where “good/bad” shots are taken …
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions
To accurately quantify landslide hazard in a region of Turkey, we develop new marked point-
process models within a Bayesian hierarchical framework for the joint prediction of landslide …
process models within a Bayesian hierarchical framework for the joint prediction of landslide …
Analysis of professional basketball field goal attempts via a Bayesian matrix clustering approach
We propose a Bayesian nonparametric matrix clustering approach to analyze the latent
heterogeneity structure in the shot selection data collected from professional basketball …
heterogeneity structure in the shot selection data collected from professional basketball …
Bayesian nonparametric learning for point processes with spatial homogeneity: A spatial analysis of NBA shot locations
Basketball shot location data provide valuable summary information regarding players to
coaches, sports analysts, fans, statisticians, as well as players themselves. Represented by …
coaches, sports analysts, fans, statisticians, as well as players themselves. Represented by …
Zero‐inflated Poisson model with clustered regression coefficients: Application to heterogeneity learning of field goal attempts of professional basketball players
Although basketball is a dynamic process sport, played between two sides of five players
each, learning some static information is essential for professional players, coaches, and …
each, learning some static information is essential for professional players, coaches, and …
Examining positional difference in basketball players' field goal accuracy using Bayesian Hierarchical Model
F Wang, G Zheng - International Journal of Sports Science & …, 2022 - journals.sagepub.com
This study developed a Bayesian Hierarchical Modeling Scheme to study the positional
difference of field goal accuracy at different shooting distances, including less than 8 ft, 8–24 …
difference of field goal accuracy at different shooting distances, including less than 8 ft, 8–24 …
A Joint Analysis for Field Goal Attempts and Percentages of Professional Basketball Players: Bayesian Nonparametric Resource.
Understanding shooting patterns among different players is a fundamental problem in
basketball game analyses. In this paper, we quantify the shooting pattern via the field goal …
basketball game analyses. In this paper, we quantify the shooting pattern via the field goal …
Heterogeneity pursuit for spatial point pattern with application to tree locations: A Bayesian semiparametric recourse
Spatial point pattern data are routinely encountered. A flexible regression model for the
underlying intensity is essential to characterizing the spatial point pattern and understanding …
underlying intensity is essential to characterizing the spatial point pattern and understanding …
Are Made and Missed Different? An analysis of Field Goal Attempts of Professional Basketball Players via Depth Based Testing Procedure
In this paper, we develop a novel depth-based testing procedure on spatial point processes
to examine the difference in made and missed field goal attempts for NBA players …
to examine the difference in made and missed field goal attempts for NBA players …
A Model-Based Approach to Shot Charts Estimation in Basketball
Shot charts in basketball analytics provide an indispensable tool for evaluating players'
shooting performance by visually representing the distribution of field goal attempts across …
shooting performance by visually representing the distribution of field goal attempts across …