A combinatorial approach in predicting the outcome of tennis matches
From MaRDI portal
Publication:2057980
DOI10.34768/amcs-2021-0036zbMath1479.91062OpenAlexW3203692254MaRDI QIDQ2057980
Ana Šarčević, Damir Pintar, Mihaela Vranić
Publication date: 7 December 2021
Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)
Full work available at URL: https://doaj.org/article/ec53595ed3d24f84a1beb33916e6ddad
Factorials, binomial coefficients, combinatorial functions (05A10) Probabilistic games; gambling (91A60)
Uses Software
Cites Work
- Unnamed Item
- A Bayesian test for the hot hand phenomenon
- A common-opponent stochastic model for predicting the outcome of professional tennis matches
- A recursive algorithm for computing the distribution of the number of successes in higher-order Markovian trials
- Random walks in tennis
- An empirical Bayes model for time-varying paired comparisons ratings: who is the greatest women's tennis player?
- Forecasting the winner of a tennis match.
- A dynamic paired comparisons model: who is the greatest tennis player?
- AN ANALYSIS OF CLASSICAL AND TIE-BREAKER TENNIS
- Probability of a Shutout in Racquetball
- Probability of Winning at Tennis I. Theory and Data
- Parameter Estimation in Large Dynamic Paired Comparison Experiments
- Dynamic paired comparison models with stochastic variances
- Combining player statistics to predict outcomes of tennis matches
This page was built for publication: A combinatorial approach in predicting the outcome of tennis matches