Zobrazeno 1 - 10
of 425
pro vyhledávání: '"Deshpande, Sameer A."'
Expected points is a value function fundamental to player evaluation and strategic in-game decision-making across sports analytics, particularly in American football. To estimate expected points, football analysts use machine learning tools, which ar
Externí odkaz:
http://arxiv.org/abs/2409.04889
Estimating varying treatment effects in randomized trials with noncompliance is inherently challenging since variation comes from two separate sources: variation in the impact itself and variation in the compliance rate. In this setting, existing fle
Externí odkaz:
http://arxiv.org/abs/2408.07765
Autor:
Kokandakar, Ajinkya H., Lin, Yuzhou, Jin, Steven, Weiss, Jordan, Rabinowitz, Amanda R., May, Reuben A. Buford, Small, Dylan, Deshpande, Sameer K.
We study the impact of teenage sports participation on early-adulthood health using longitudinal data from the National Study of Youth and Religion. We focus on two primary outcomes measured at ages 23--28 -- self-rated health and total score on the
Externí odkaz:
http://arxiv.org/abs/2405.03538
Autor:
Alexandr, Yulia, Bakenhus, Miles, Curiel, Mark, Deshpande, Sameer K., Gross, Elizabeth, Gu, Yuqi, Hill, Max, Johnson, Joseph, Kagy, Bryson, Karwa, Vishesh, Li, Jiayi, Lyu, Hanbaek, Petrović, Sonja, Rodriguez, Jose Israel
In the last quarter of a century, algebraic statistics has established itself as an expanding field which uses multilinear algebra, commutative algebra, computational algebra, geometry, and combinatorics to tackle problems in mathematical statistics.
Externí odkaz:
http://arxiv.org/abs/2402.13961
Autor:
Yee, Ryan, Deshpande, Sameer K.
We introduce a three-step framework to determine at which pitches Major League batters should swing. Unlike traditional plate discipline metrics, which implicitly assume that all batters should always swing at (resp. take) pitches inside (resp. outsi
Externí odkaz:
http://arxiv.org/abs/2305.05752
Test log-likelihood is commonly used to compare different models of the same data or different approximate inference algorithms for fitting the same probabilistic model. We present simple examples demonstrating how comparisons based on test log-likel
Externí odkaz:
http://arxiv.org/abs/2212.00219
Autor:
Deshpande, Sameer K.
Most implementations of Bayesian additive regression trees (BART) one-hot encode categorical predictors, replacing each one with several binary indicators, one for every level or category. Regression trees built with these indicators partition the di
Externí odkaz:
http://arxiv.org/abs/2211.04459
Autor:
Kokandakar, Ajinkya H, Lin, Yuzhou, Jin, Steven, Weiss, Jordan, Rabinowitz, Amanda R, May, Reuben A Buford, Small, Dylan, Deshpande, Sameer K
We will study the impact of adolescent sports participation on early-adulthood health using longitudinal data from the National Study of Youth and Religion. We focus on two primary outcomes measured at ages 23--28 -- self-rated health and total score
Externí odkaz:
http://arxiv.org/abs/2211.02104
Publikováno v:
Observational Studies 9(3), 29-41 (2023). https://www.muse.jhu.edu/article/895651
We demonstrate how Hahn et al.'s Bayesian Causal Forests model (BCF) can be used to estimate conditional average treatment effects for the longitudinal dataset in the 2022 American Causal Inference Conference Data Challenge. Unfortunately, existing i
Externí odkaz:
http://arxiv.org/abs/2211.02020
As a baseball game progresses, batters appear to perform better the more times they face a particular pitcher. The apparent drop-off in pitcher performance from one time through the order to the next, known as the Time Through the Order Penalty (TTOP
Externí odkaz:
http://arxiv.org/abs/2210.06724