Luke Bornn

Economics, Econometrics and Finance · Social Sciences

15h-index872citations56works0.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Sports Analytics and Performance(11), Sports Performance and Training(10), Gaussian Processes and Bayesian Inference(7), Statistical Methods and Inference(6), Statistical Methods and Bayesian Inference(6)

Publications56 total

Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task
Bayesian Analysis·2022· 9 citedOpen Access
Inverse Bayesian Optimization: Learning Human Search Strategies in a Sequential Optimization Task.
arXiv (Cornell University)·2021Open Access
Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs
Figshare·2021Open Access
Training Load and Its Role in Injury Prevention, Part 2: Conceptual and Methodologic Pitfalls
Journal of Athletic Training·2020· 61 citedOpen Access
Markov decision processes with dynamic transition probabilities: An analysis of shooting strategies in basketball
The Annals of Applied Statistics·2020· 24 citedOpen Access
Training Load and Injury Part 1: The Devil Is in the Detail—Challenges to Applying the Current Research in the Training Load and Injury Field
Journal of Orthopaedic and Sports Physical Therapy·2020· 14 cited
Training Load and Injury Part 2: Questionable Research Practices Hijack the Truth and Mislead Well-Intentioned Clinicians
Journal of Orthopaedic and Sports Physical Therapy·2020· 26 cited
Estimating locomotor demands during team play from broadcast-derived tracking data
arXiv (Cornell University)·2020· 1 citedOpen Access
Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs.
Figshare·2020Open Access
PassNet: Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics
2019
Using In-Game Shot Trajectories to Better Understand Defensive Impact in the NBA
arXiv (Cornell University)·2019Open Access
Using In-Game Shot Trajectories to Better Understand Defensive Impact in\n the NBA
arXiv (Cornell University)·2019Open Access
Moment Conditions and Bayesian Non-Parametrics
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2018· 3 citedOpen Access
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction
arXiv (Cornell University)·2018· 10 citedOpen Access
A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Do School Districts Affect NYC House Prices?
arXiv (Cornell University)·2018· 7 citedOpen Access
A Bayesian Nonparametric Approach to Geographic Regression Discontinuity\n Designs: Do School Districts Affect NYC House Prices?
arXiv (Cornell University)·2018· 1 citedOpen Access
Robust structural health monitoring under environmental and operational uncertainty with switching state-space autoregressive models
Structural Health Monitoring·2018· 31 cited
Learning Person Trajectory Representations for Team Activity Analysis
arXiv (Cornell University)·2017· 10 citedOpen Access
Improving simulated annealing through derandomization
Journal of Global Optimization·2016· 5 citedOpen Access
Classification of compact binaries: an X-ray analog to the HR diagram
American Astronomical Society Meeting Abstracts #228·2016
page 1 of 3Next →

Frequent Co-authors

Kirk Goldsberry(7), Charles R. Farrar(4), Daniel Cervone(3), Alex D’Amour(3), Andrew C. Miller(3), Ryan P. Adams(3), Franco M. Impellizzeri(3), Alan McCall(3), Patrick Ward(3), Aaron J. Coutts(3), Randal Douc(3), Nathan Sandholtz(3), Gyuhae Park(2), Pierre Jacob(2), Pierre Del Moral(2), François Caron(2), Yatao Zhong(2), Greg Mori(2), Yohsuke R. Miyamoto(2), Maurice A. Smith(2)