Saved in:
| Main Authors: | Scholtes, Alexander, Karakuş, Oktay |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2311.13707 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
What If They Took the Shot? A Hierarchical Bayesian Framework for Counterfactual Expected Goals
by: Mahmudlu, Mikayil, et al.
Published: (2025)
by: Mahmudlu, Mikayil, et al.
Published: (2025)
Leicester's Tale: Another Perspective on the EPL 2015/16 Through Expected Goals (xG) Modelling
by: Tahir, Sheikh Badar Ud Din, et al.
Published: (2026)
by: Tahir, Sheikh Badar Ud Din, et al.
Published: (2026)
Biases in Expected Goals Models Confound Finishing Ability
by: Davis, Jesse, et al.
Published: (2024)
by: Davis, Jesse, et al.
Published: (2024)
Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
by: Miller, John Joshua, et al.
Published: (2024)
by: Miller, John Joshua, et al.
Published: (2024)
Bayesian Active Learning of (small) Quantile Sets through Expected Estimator Modification
by: Abdelmalek-Lomenech, Romain Ait, et al.
Published: (2025)
by: Abdelmalek-Lomenech, Romain Ait, et al.
Published: (2025)
When Softmax Fails at the Top: Extreme Value Corrections for InfoNCE
by: Erol, Melihcan, et al.
Published: (2026)
by: Erol, Melihcan, et al.
Published: (2026)
Beyond Expected Goals: A Probabilistic Framework for Shot Occurrences in Soccer
by: Pipping-Gamón, Jonathan, et al.
Published: (2025)
by: Pipping-Gamón, Jonathan, et al.
Published: (2025)
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
by: Chakraborty, Atlanta, et al.
Published: (2024)
by: Chakraborty, Atlanta, et al.
Published: (2024)
GenOnet: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3
by: Rezazadeh, Farhad, et al.
Published: (2024)
by: Rezazadeh, Farhad, et al.
Published: (2024)
Player Pressure Map -- A Novel Representation of Pressure in Soccer for Evaluating Player Performance in Different Game Contexts
by: Gu, Chaoyi, et al.
Published: (2024)
by: Gu, Chaoyi, et al.
Published: (2024)
Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)
by: Zhang, Likun, et al.
Published: (2025)
by: Zhang, Likun, et al.
Published: (2025)
What is in a Price? Estimating Willingness-to-Pay with Bayesian Hierarchical Models
by: Pillai, Srijesh, et al.
Published: (2025)
by: Pillai, Srijesh, et al.
Published: (2025)
Offensive Lineup Analysis in Basketball with Clustering Players Based on Shooting Style and Offensive Role
by: Yamada, Kazuhiro, et al.
Published: (2024)
by: Yamada, Kazuhiro, et al.
Published: (2024)
Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering
by: Valleggi, Lorenzo, et al.
Published: (2023)
by: Valleggi, Lorenzo, et al.
Published: (2023)
A Nonparametric Bayes Approach to Online Activity Prediction
by: Beraha, Mario, et al.
Published: (2024)
by: Beraha, Mario, et al.
Published: (2024)
Robust Player-Conditional Champion Ranking for League of Legends: Style Similarity, Mastery Priors, and Archetype-Constrained Discovery
by: Heo, Min, et al.
Published: (2026)
by: Heo, Min, et al.
Published: (2026)
Bayesian Event Categorization Matrix Approach for Explosion Monitoring
by: Koermer, Scott, et al.
Published: (2024)
by: Koermer, Scott, et al.
Published: (2024)
Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks
by: Sengupta, Shovon, et al.
Published: (2025)
by: Sengupta, Shovon, et al.
Published: (2025)
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
by: Liang, Biyonka, et al.
Published: (2024)
by: Liang, Biyonka, et al.
Published: (2024)
Through the Gaps: Uncovering Tactical Line-Breaking Passes with Clustering
by: Karakuş, Oktay, et al.
Published: (2025)
by: Karakuş, Oktay, et al.
Published: (2025)
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
by: Agostini, Gabriel, et al.
Published: (2023)
by: Agostini, Gabriel, et al.
Published: (2023)
A Bayesian Regression Approach for Estimating the Impact of COVID-19 on Consumer Behavior in the Restaurant Industry
by: Hinduja, H., et al.
Published: (2024)
by: Hinduja, H., et al.
Published: (2024)
Bayesian algorithmic perfumery: A Hierarchical Relevance Vector Machine for the Estimation of Personalized Fragrance Preferences based on Three Sensory Layers and Jungian Personality Archetypes
by: Martinez, Rolando Gonzales
Published: (2024)
by: Martinez, Rolando Gonzales
Published: (2024)
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)
by: Fisher, Jared D., et al.
Published: (2024)
A Bayesian Learning Approach for Drone Coverage Network: A Case Study on Cardiac Arrest in Scotland
by: Basu, Tathagata, et al.
Published: (2026)
by: Basu, Tathagata, et al.
Published: (2026)
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)
by: Zhu, Haonan, et al.
Published: (2025)
Variational Bayes Portfolio Construction
by: Nguyen, Nicolas, et al.
Published: (2024)
by: Nguyen, Nicolas, et al.
Published: (2024)
Structural Pass Analysis in Football: Learning Pass Archetypes and Tactical Impact from Spatio-Temporal Tracking Data
by: Karakuş, Oktay, et al.
Published: (2026)
by: Karakuş, Oktay, et al.
Published: (2026)
Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows
by: Li, Xuechun, et al.
Published: (2025)
by: Li, Xuechun, et al.
Published: (2025)
Singular Bayesian Neural Networks
by: Toure, Mame Diarra, et al.
Published: (2026)
by: Toure, Mame Diarra, et al.
Published: (2026)
Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models
by: Benitez-Aurioles, Jose, et al.
Published: (2026)
by: Benitez-Aurioles, Jose, et al.
Published: (2026)
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees
by: Lungu, Valentinian, et al.
Published: (2022)
by: Lungu, Valentinian, et al.
Published: (2022)
Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries
by: Bursa, Nurbanu
Published: (2025)
by: Bursa, Nurbanu
Published: (2025)
Improving Geopolitical Forecasts with Bayesian Networks
by: Martin, Matthew
Published: (2026)
by: Martin, Matthew
Published: (2026)
A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
by: Fazeli-Asl, Forough, et al.
Published: (2023)
by: Fazeli-Asl, Forough, et al.
Published: (2023)
Bayesian Hybrid Machine Learning of Gallstone Risk
by: Chakraborty, Chitradipa, et al.
Published: (2025)
by: Chakraborty, Chitradipa, et al.
Published: (2025)
Implicit Generative Prior for Bayesian Neural Networks
by: Liu, Yijia, et al.
Published: (2024)
by: Liu, Yijia, et al.
Published: (2024)
Efficient Model Compression for Bayesian Neural Networks
by: Saha, Diptarka, et al.
Published: (2024)
by: Saha, Diptarka, et al.
Published: (2024)
UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
by: Khidirova, Emiliya, et al.
Published: (2026)
by: Khidirova, Emiliya, et al.
Published: (2026)
Hierarchical Probabilistic Conformal Prediction for Distributed Energy Resources Adoption
by: Zhou, Wenbin, et al.
Published: (2024)
by: Zhou, Wenbin, et al.
Published: (2024)
Similar Items
-
What If They Took the Shot? A Hierarchical Bayesian Framework for Counterfactual Expected Goals
by: Mahmudlu, Mikayil, et al.
Published: (2025) -
Leicester's Tale: Another Perspective on the EPL 2015/16 Through Expected Goals (xG) Modelling
by: Tahir, Sheikh Badar Ud Din, et al.
Published: (2026) -
Biases in Expected Goals Models Confound Finishing Ability
by: Davis, Jesse, et al.
Published: (2024) -
Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
by: Miller, John Joshua, et al.
Published: (2024) -
Bayesian Active Learning of (small) Quantile Sets through Expected Estimator Modification
by: Abdelmalek-Lomenech, Romain Ait, et al.
Published: (2025)