37 citations · 39 across the 5 of their papers we have counts for
6 papers
Modeling Tennis In-Match Momentum Using Probability Method
Jackson Graves, Daniel X. Guo, Ridge Shepherd +1
This paper investigates the Tennis Momentum Model (TMM), which aims to enhance the understanding of match dynamics by integrating key factors such as efficiency, historical scoring…
Limits of epidemic prediction using SIR models
Omar Melikechi, Alexander L. Young, Tao Tang +3
The Susceptible-Infectious-Recovered (SIR) equations and their extensions comprise a commonly utilized set of models for understanding and predicting the course of an epidemic. In…
Consistent Entropy Estimation for Stationary Time Series
Alexander L Young, David B Dunson
Entropy estimation, due in part to its connection with mutual information, has seen considerable use in the study of time series data including causality detection and information…
Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states
Rihui Ou, Deborshee Sen, Alexander L Young +1
Markov chain Monte Carlo (MCMC) algorithms for hidden Markov models often rely on the forward-backward sampler. This makes them computationally slow as the length of the time serie…
Bayesian Constraint Relaxation
Leo L Duan, Alexander L Young, Akihiko Nishimura +1
Prior information often takes the form of parameter constraints. Bayesian methods include such information through prior distributions having constrained support. By using posterio…
On collisions times of self-sorting interacting particles in one-dimension with random initial positions and velocities
Joceline Lega, Sunder Sethuraman, Alexander L Young
We investigate a one-dimensional system of particles, initially distributed with random positions and velocities, interacting through binary collisions. The collision rule is s…