Statistical enhanced learning for modeling and prediction tennis matches at Grand Slam tournaments
Fuente:
arXiv
Saved in:
| Main Authors: | Buhamra, Nourah, Groll, Andreas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Research on dynamic analysis and prediction model of tennis match based on Bayesian probability and analytic Hierarchy process
by: Li, Chuangqi
Published: (2024)
by: Li, Chuangqi
Published: (2024)
Analysis of points outcome in ATP Grand Slam Tennis using big data and machine learning
by: Illum, Martin, et al.
Published: (2025)
by: Illum, Martin, et al.
Published: (2025)
"Game, Set, Match": Double Delight Watching a Grand Slam Tennis Match
by: Pena, Edsel A., et al.
Published: (2026)
by: Pena, Edsel A., et al.
Published: (2026)
Entering tennis men’s Grand Slams within the top-10 and its relationship with the fact of winning the tournament
by: Jaime Prieto-Bermejo
Published: (2016)
by: Jaime Prieto-Bermejo
Published: (2016)
Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
by: Gelman, Andrew, et al.
Published: (2019)
by: Gelman, Andrew, et al.
Published: (2019)
A novel methodological framework for analyzing the momentum effect in tennis singles
by: Du, Chang, et al.
Published: (2025)
by: Du, Chang, et al.
Published: (2025)
Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches
by: Groll, Andreas, et al.
Published: (2024)
by: Groll, Andreas, et al.
Published: (2024)
A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts
by: Groll, Andreas, et al.
Published: (2024)
by: Groll, Andreas, et al.
Published: (2024)
Why is Regularization Underused? An Empirical Study on Trust and Adoption of Statistical Methods
by: Thiel, Konstantin Emil, et al.
Published: (2026)
by: Thiel, Konstantin Emil, et al.
Published: (2026)
A probabilistic match classification model for sports tournaments
by: Csató, László, et al.
Published: (2026)
by: Csató, László, et al.
Published: (2026)
Match predictions in soccer: Machine learning vs. Poisson approaches
by: Fischer, Mirko, et al.
Published: (2024)
by: Fischer, Mirko, et al.
Published: (2024)
AI for Handball: predicting and explaining the 2024 Olympic Games tournament with Deep Learning and Large Language Models
by: Felice, Florian
Published: (2024)
by: Felice, Florian
Published: (2024)
Exact matching as an alternative to propensity score matching
by: Glimm, Ekkehard, et al.
Published: (2025)
by: Glimm, Ekkehard, et al.
Published: (2025)
Expression‐based machine learning models for predicting plant tissue identity
by: Sourabh Palande, et al.
Published: (2024)
by: Sourabh Palande, et al.
Published: (2024)
Waiting for Dabo: A machine learning model for predicting Power 4 college football coaching hire success
by: Schuckers, Michael, et al.
Published: (2025)
by: Schuckers, Michael, et al.
Published: (2025)
Integrating socioeconomic and geographic data to enhance infectious disease prediction in Brazilian cities
by: Lober, Luiza, et al.
Published: (2024)
by: Lober, Luiza, et al.
Published: (2024)
Partially stochastic deep learning with uncertainty quantification for model predictive heating control
by: Hannula, Emma, et al.
Published: (2025)
by: Hannula, Emma, et al.
Published: (2025)
Space time modeling for drought classification and prediction
by: Ahmad, Touqeer, et al.
Published: (2025)
by: Ahmad, Touqeer, et al.
Published: (2025)
Variable importance measure for spatial machine learning models with application to air pollution exposure prediction
by: Cheng, Si, et al.
Published: (2024)
by: Cheng, Si, et al.
Published: (2024)
Stability of clinical prediction models developed using statistical or machine learning methods
by: Riley, Richard D, et al.
Published: (2022)
by: Riley, Richard D, et al.
Published: (2022)
Propensity score matching in semaglutide retrospective studies
by: Mohney, Elizabeth, et al.
Published: (2025)
by: Mohney, Elizabeth, et al.
Published: (2025)
Statistical modeling of diabetic neuropathy: Exploring the dynamics of nerve mortality
by: Konstantinou, Konstantinos, et al.
Published: (2023)
by: Konstantinou, Konstantinos, et al.
Published: (2023)
Stochastic modeling of particle structures in spray fluidized bed agglomeration using methods from machine learning
by: Fuchs, Lukas, et al.
Published: (2025)
by: Fuchs, Lukas, et al.
Published: (2025)
On misconceptions about the Brier score in binary prediction models
by: Hoessly, Linard
Published: (2025)
by: Hoessly, Linard
Published: (2025)
Causal machine learning for predicting treatment outcomes
by: Feuerriegel, Stefan, et al.
Published: (2024)
by: Feuerriegel, Stefan, et al.
Published: (2024)
Predicting soccer matches with complex networks and machine learning
by: Baratela, Eduardo Alves, et al.
Published: (2024)
by: Baratela, Eduardo Alves, et al.
Published: (2024)
An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants
by: Piyush Priya, et al.
Published: (2026)
by: Piyush Priya, et al.
Published: (2026)
A comparison between geostatistical and machine learning models for spatio-temporal prediction of PM2.5 data
by: Mohamed, Zeinab, et al.
Published: (2025)
by: Mohamed, Zeinab, et al.
Published: (2025)
Individual color matching functions from cross‐media color‐matching experiment
by: Che Shen, et al.
Published: (2024)
by: Che Shen, et al.
Published: (2024)
Online activity prediction via generalized Indian buffet process models
by: Beraha, Mario, et al.
Published: (2025)
by: Beraha, Mario, et al.
Published: (2025)
Elementary econometric and strategic analysis of curling matches
by: Fry, John, et al.
Published: (2024)
by: Fry, John, et al.
Published: (2024)
Gotta match 'em all: Solution diversification in graph matching matched filters
by: Li, Zhirui, et al.
Published: (2023)
by: Li, Zhirui, et al.
Published: (2023)
Statistics in Phonetics
by: Tavakoli, Shahin, et al.
Published: (2024)
by: Tavakoli, Shahin, et al.
Published: (2024)
Applications of machine learning to predict seasonal precipitation for East Africa
by: Scheuerer, Michael, et al.
Published: (2024)
by: Scheuerer, Michael, et al.
Published: (2024)
Statistical Static Timing Analysis of VLSI as the Statistics of Correlated Extremes
by: Mishagli, Dmytro, et al.
Published: (2024)
by: Mishagli, Dmytro, et al.
Published: (2024)
The expected value of sample information calculations for external validation of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2024)
by: Sadatsafavi, Mohsen, et al.
Published: (2024)
Integration of max-stable processes and Bayesian model averaging to predict extreme climatic events in multi-model ensembles
by: Shin, Yonggwan, et al.
Published: (2020)
by: Shin, Yonggwan, et al.
Published: (2020)
Overlap, matching, or entropy weights: what are we weighting for?
by: Matsouaka, Roland A., et al.
Published: (2022)
by: Matsouaka, Roland A., et al.
Published: (2022)
A model-free feature extraction procedure for interval-valued time series prediction
by: Tian, Wan, et al.
Published: (2025)
by: Tian, Wan, et al.
Published: (2025)
A comparison of variable selection methods and predictive models for postoperative bowel surgery complications
by: Şahin, Özge, et al.
Published: (2025)
by: Şahin, Özge, et al.
Published: (2025)
Similar Items
-
Research on dynamic analysis and prediction model of tennis match based on Bayesian probability and analytic Hierarchy process
by: Li, Chuangqi
Published: (2024) -
Analysis of points outcome in ATP Grand Slam Tennis using big data and machine learning
by: Illum, Martin, et al.
Published: (2025) -
"Game, Set, Match": Double Delight Watching a Grand Slam Tennis Match
by: Pena, Edsel A., et al.
Published: (2026) -
Entering tennis men’s Grand Slams within the top-10 and its relationship with the fact of winning the tournament
by: Jaime Prieto-Bermejo
Published: (2016) -
Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
by: Gelman, Andrew, et al.
Published: (2019)