Luke Bornn

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Citations	2584	2001
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Andrew C. MillerResearch Scientist, AppleVerified email at apple.com
Alexander D'AmourResearch Scientist, Google BrainVerified email at google.com
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa BarbaraVerified email at pstat.ucsb.edu
Charles FarrarLos AlamosVerified email at lanl.gov
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Gyuhae ParkChonnam National University, KoreaVerified email at jnu.ac.kr
James V ZidekProfessor of Statistics, University of British ColumbiaVerified email at stat.ubc.ca
Dawn WoodardDirector of Data Science, Uber TechnologiesVerified email at woodardscience.com
Natesh S. PillaiHarvard UniversityVerified email at fas.harvard.edu
Ryan P. AdamsPrinceton UniversityVerified email at princeton.edu
Luke MiratrixHarvard UniversityVerified email at stat.harvard.edu
Greg MoriResearch Director, Borealis AI; Professor, School of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Sez Atamturktur, Harry and Arlene Sch...Pennsylvania State UniversityVerified email at psu.edu
Raphael GottardoLausanne University Hospital and University of LausanneVerified email at chuv.ch
Frederick TungBorealis AIVerified email at cs.ubc.ca
François CaronUniversity of OxfordVerified email at stats.ox.ac.uk
Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestVerified email at inria.fr
Gavin ShaddickProfessor of Data Science and Statistics, Department of Mathematics, University of ExeterVerified email at exeter.ac.uk
F.M. HemezLawrence Livermore National LaboratoryVerified email at llnl.gov
Nando de FreitasCIFAR & DeepMindVerified email at google.com

Luke Bornn

Co-Founder and Chief Scientist, Zelus Analytics

Verified email at stat.harvard.edu - Homepage

Statistics Machine Learning Bayesian Statistics Spatial Statistics Monte Carlo Methods


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Pointwise: Predicting points and valuing decisions in real time with NBA optical tracking data D Cervone, A D’Amour, L Bornn, K Goldsberry 8th Annual MIT Sloan Sports Analytics Conference, 2014	197	2014
A multiresolution stochastic process model for predicting basketball possession outcomes D Cervone, A D’Amour, L Bornn, K Goldsberry Journal of the American Statistical Association 111 (514), 585-599, 2016	173	2016
Wide Open Spaces: A statistical technique for measuring space creation in professional soccer J Fernandez, L Bornn Sloan sports analytics conference 2018, 2018	168	2018
Decomposing the immeasurable sport: A deep learning expected possession value framework for soccer J Fernández, L Bornn, D Cervone 13th MIT Sloan Sports Analytics Conference, 2019	145	2019
Factorized point process intensities: A spatial analysis of professional basketball A Miller, L Bornn, R Adams, K Goldsberry International Conference on Machine Learning (ICML), 2014	143	2014
Characterizing the spatial structure of defensive skill in professional basketball A Franks, A Miller, L Bornn, K Goldsberry Annals of Applied Statistics 9, 94-121, 2015	129	2015
Modeling non-stationary processes through dimension expansion L Bornn, G Shaddick, JV Zidek Journal of The American Statistical Association 107, 281-289, 2012	111	2012
Structural health monitoring with autoregressive support vector machines L Bornn, CR Farrar, G Park, K Farinholt Journal of Vibration and Acoustics 131 (2), 021004, 2009	106	2009
Counterpoints: Advanced defensive metrics for NBA basketball A Franks, A Miller, L Bornn, K Goldsberry 9th Annual MIT Sloan Sports Analytics Conference, Boston, MA, 2015	85	2015
Damage detection in initially nonlinear systems L Bornn, CR Farrar, G Park International Journal of Engineering Science 48 (10), 909-920, 2010	75	2010
Vibration characteristics of vaulted masonry monuments undergoing differential support settlement S Atamturktur, L Bornn, F Hemez Engineering Structures 33, 2472-2484, 2011	72	2011
Efficient stabilization of crop yield prediction in the Canadian Prairies L Bornn, JV Zidek Agricultural and forest meteorology 152, 223-232, 2012	62	2012
The use of a single pseudo-sample in approximate Bayesian computation L Bornn, NS Pillai, A Smith, D Woodard Statistics and Computing, 1-8, 2016	59*	2016
Possession sketches: Mapping NBA strategies AC Miller, L Bornn 11th Annual MIT Sloan Sports Analytics Conference, Boston, MA, 2017	53	2017
An adaptive interacting Wang-Landau algorithm for automatic density exploration L Bornn, P Jacob, P Del Moral, A Doucet Journal of Computational and Graphical Statistics 22 (3), 749-773, 2013	50	2013
Training load and its role in injury prevention, part 2: conceptual and methodologic pitfalls FM Impellizzeri, A McCall, P Ward, L Bornn, AJ Coutts Journal of athletic training 55 (9), 893-901, 2020	47	2020
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions J Fernández, L Bornn, D Cervone Machine Learning 110 (6), 1389-1427, 2021	43	2021
Deep learning of player trajectory representations for team activity analysis N Mehrasa, Y Zhong, F Tung, L Bornn, G Mori 11th mit sloan sports analytics conference 2, 3, 2018	42	2018
Meta-analytics: tools for understanding the statistical properties of sports metrics AM Franks, A D’Amour, D Cervone, L Bornn Journal of Quantitative Analysis in Sports 12 (4), 151-165, 2016	40	2016
An efficient computational approach for prior sensitivity analysis and cross‐validation L Bornn, A Doucet, R Gottardo Canadian Journal of Statistics 38 (1), 47-64, 2010	40	2010

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