basketball references

url: https://rpubs.com/maraaverick/basketball-refs

data source: https://github.com/batpigandme/sports-bibs

Word of warning

This is the result of a naive search for the term “basketball” in my own collection of papers on my computer. So, I really haven’t gone through this carefully.

References

Adams, Ryan Prescott, George E. Dahl, and Iain Murray. 2010. “Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes.” arXiv Preprint arXiv:1003.4944, no. 1999: 18. http://arxiv.org/abs/1003.4944.

Ammar, Salwa, and Ronald Wright. 2004. “Comparing the impact of star rookies Carmelo Anthony and Lebron James: An example on simulating team performances in the NBA league.” INFORMS Transactions on Education 5 (1): 67–74. https://doi.org/10.1287/ited.5.1.67.

Arkes, Jeremy, and Jose Martinez. 2011. “Finally, Evidence for a Momentum Effect in the NBA.” Journal of Quantitative Analysis in Sports 7 (3): Article 13. https://doi.org/10.2202/1559-0410.1304.

Beaudoin, David, and Thierry Duchesne. 2017. “Prediction of the margin of victory only from team rankings for regular season games in NCAA men’s basketball.” arXiv Preprint, 1–15. http://arxiv.org/abs/1701.07316.

Berri, David J, Stacey L Brook, Aju J Fenn, Source Journal, No February, David J Berri, Stacey L Brook, and Aju J Fenn. 2015. “From college to the pros: predicting the NBA amateur player draft.” Journal of Productivity Analysis 35 (1): 25–35.

Berri, David J, Stacey L Brook, and Martin B Schmidt. 2007. “Does one simply need to score to score?” International Journal of Sport Finance 2 (4): 190–205.

Berri, David J., and Martin B. Schmidt. 2006. “On the road with the national basketball association’s superstar externality.” Journal of Sports Economics 7 (4): 347–58. https://doi.org/10.1177/1527002505275094.

Borghesi, R. 2015. “The Financial and Competitive Value of NCAA Basketball Recruits.” Journal of Sports Economics, 1–19. https://doi.org/10.1177/1527002515617510.

Bowman, R. a., J. Lambrinos, and T. Ashman. 2012. “Competitive Balance in the Eyes of the Sports Fan: Prospective Measures Using Point Spreads in the NFL and NBA.” Journal of Sports Economics 14 (5): 498–520. https://doi.org/10.1177/1527002511430230.

Boyle, Brett A, and Peter Magnusson. 2007. “Social Identity and Brand Equity Formation: A Comparative Study of Collegiate Sports Fans.” Journal of Sport Management 21: 497–520.

Briggs, Brian, Michael Abramovich, and John Hannick. 2014. “Using Spatial Basketball Data in a Bayesian Belief Network to Determine Optimal Shooting Zones.” Booz Allen Hamilton.

Broatch, Jennifer E., and Andrew T. Karl. 2017. “Multivariate Generalized Linear Mixed Models for Joint Estimation of Sporting Outcomes,” 1–29. http://arxiv.org/abs/1710.05284.

Brown, Shael. 2017. “A PageRank Model for Player Performance Assessment in Basketball , Soccer and Hockey.” MIT SLoan Sports Analytics Conference, 1–22.

Bruce, Scott. 2015. “A Scalable Framework for NBA Player and Team Comparisons Using Player Tracking Data,” 1–18. http://arxiv.org/abs/1511.04351.

Bruce, Scott (Temple University). 2015. “Evaluating the Importance of Statistical Diversity in the NBA Using Player Tracking Data.” Journal of Sports Analytics.

Bukstein, Scott. 2015. “Preparing for Another Round of Collective Bargaining in the National Basketball Association.” Jeffrey S. Moorad Sports Law Journal 22 (2).

Cao, Chenjie. 2012. “Sports Data Mining Technology Used in Basketball Outcome Prediction.” PhD thesis. http://arrow.dit.ie/scschcomdis/39/.

Carlin, Bradley P. 1996. “Improved NCAA Basketball Tournament Modeling via Point Spread and Team Strength Information.” The American Statistician 50 (1): 39–43. https://doi.org/10.2307/2685042.

Casals, Martí, and Jose A Martinez. 2013. “Modelling player performance in basketball through mixed models.” International Journal of Performance Analysis in Sport 13 (1): 64–82.

Celeux, Gilles, and Valerie Robert. 2015. “Towards an objective team efficiency rate in basketball.” Journal de La Société Française de Statistique 156 (2): 19. https://hal.inria.fr/hal-01020295.

Cervone, Dan, Luke Bornn, and Kirk Goldsberry. 2016. “NBA Court Realty Intro: the Basketball Court is a Real Estate Market.” In MIT Sloan Sports Analytics Conference, 1–8. 1.

Cervone, Dan, Alexander D’Amour, Luke Bornn, and Kirk Goldsberry. 2014. “POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data.” Sloan Sports Analytics Conference, 1–9.

Chen, Wei, Tianyi Lao, Jing Xia, Xinxin Huang, Biao Zhu, Wanqi Hu, and Huihua Guan. 2016. “GameFlow: Narrative Visualization of NBA Basketball Games.” IEEE Transactions on Multimedia 18 (11): 2247–56. https://doi.org/10.1109/TMM.2016.2614221.

Clemente, Filipe Manuel, Fernando Martins, Dimitris Kalamaras, Rui Mendes, Fernando Manuel, and Lourenço Martins. 2015. “Network analysis in basketball: inspecting the prominent players using centrality metrics.” Journal of Physical Education and Sport 15 (2): 212–17. https://doi.org/10.7752/jpes.2015.02033.

Colas, Yago. 2017. “The Culture of Moving Dots: Toward a History of Counting and of What Counts in Basketball.” Journal of Sport History 44 (2): 336–49.

Corral, Julio del, Jorge García-unanue, and Fernando Herencia-Quintanar. 2016. “Are NBA Policies that Promote Long-Term Competitive Balance Effective? What is the Price?” The Open Sports Sciences Journal 19 (January): 15–27. https://doi.org/10.2174/1875399X01609160015.

Courel, J., Ap McRobert, and D. CArdenas. 2014. “The Impact of Match Status on Game Rhythm in NBA Basketball.” In 19th Annual Congress of the European College of Sport Science 2nd - 5th July 2014, 6:2. July.

Courel-Ibáñez, Javier, Allistair Paul McRobert, Enrique Ortega Toro, and David Cárdenas Vélez. 2016. “Inside pass predicts ball possession effectiveness in NBA basketball.” International Journal of Performance Analysis in Sport 16: 711–25.

D, Sheldon H Jacobson Ph, and Douglas M King. 2009. “Seeding in the NCAA Men’s Basketball Tournament: When Is a Higher Seed Better?” The Journal of Gambling Business and Economics 3 (2): 63–87.

Demirel, By Abdullah. 2014. “Corporate Investment in Sport Sponsorship and its Evaluation.” Athens Journal of Sports 1 (September): 173–88. http://www.atiner.gr/journals/sports/2014-1-3-3-Demirel.pdf.

de Saá Guerra, Yves, Juan Manuel Martín Gonzalez, Samuel Sarmiento Montesdeoca, David Rodriguez Ruiz, Nieves Arjonilla López, and Juan Manuel García-Manso. 2013. “Basketball scoring in NBA games: An example of complexity.” Journal of Systems Science and Complexity 26 (AUGUST): 94–103. https://doi.org/10.1007/s11424-013-2282-3.

Deshpande, Sameer K., and Shane T. Jensen. 2016. “Estimating an NBA player’s impact on his team’s chances of winning.” Journal of Quantitative Analysis in Sports 12 (2): 1–37. https://doi.org/10.1515/jqas-2015-0027.

Dutta, Shouvik, Sheldon H. Jacobson, and Jason J. Sauppe. 2017. “Identifying NCAA tournament upsets using Balance Optimization Subset Selection.” Journal of Quantitative Analysis in Sports 13 (2): 79–93. https://doi.org/10.1515/jqas-2016-0062.

Elmore, Ryan. 2016. “Predicting Which Teams Will Make the NBA Playoffs.” University of Denver - Daniels College of Business. http://ssrn.com/abstract=2764482.

Ergül, Barış (Eskisehir Osmangazi University). 2014. “Clasification of NBA League Teams Using Discriminant and Logistic Regression Analyses.” Pamukkale Journal of Sport Sciences 5 (1): 1–15.

Fearnhead, Paul, and Benjamin M. Taylor. 2010. “Calculating Strength of Schedule, and Choosing Teams for March Madness.” American Statistician 64 (2): 108–15. https://doi.org/10.1198/tast.2010.09161.

Fewell, Jennifer H, Dieter Armbruster, John Ingraham, Alexander Petersen, and James S Waters. 2012. “Basketball Teams as Strategic Networks.” PLoS ONE 7 (11). https://doi.org/10.1371/journal.pone.0047445.

Franks, Alexander, Andrew Miller, Luke Bornn, and Kirk Goldsberry. 2015. “Characterizing the Spatial Structure of Defensive Skill in Professional Basketball.” The Annals of Applied Statistics 9 (1): 0–31. https://doi.org/10.1214/14-AOAS799.

Gabel, Alan, and Sidney Redner. 2012. “Random walk picture of basketball scoring.” Journal of Quantitative Analysis in Sports 8. https://doi.org/10.1515/1559-0410.11416.

Gencer, R. Timucin. 2015. “Spectator motives and points of attachment: Gender differences in professional football.” Anthropologist 19 (1): 77–85. https://doi.org/10.2478/v10078-011-0087-9.

Glickman, Mark E., and Jeff Sonas. 2015. “Introduction to the NCAA men’s basketball prediction methods issue.” Journal of Quantitative Analysis in Sports 11 (1): 1–3. https://doi.org/10.1515/jqas-2015-0013.

Goldman, Matthew, and Justin M Rao. 2013. “Live by the Three, Die by the Three? The Price of Risk in the NBA.” In MIT Sports Analytics Conference.

Goldman, Matt, and Justin M Rao. 2011. “Allocative and Dynamic Efficiency in NBA Decision Making.” In MIT Sloan Sports Analytics Conference 2011, 1–11. Boston, MA.

Green, Brett S, and Jeffrey Zwiebel. 2016. “The Hot-Hand Fallacy: Cognitive Mistakes or Equilibrium Adjustments? Evidence from Major League Baseball.” In MIT Sloan Sports Analytics Conference, 1–66.

Grow, Nathaniel. 2013. “Decertifying Players Unions: Lessons from the NFL and NBA Lockouts of 2011.” Vanderbilt Journal of Entertainment and Technology Law 15 (3): 473–505.

Gudmundsson, Joachim, and Michael Horton. 2016. “Spatio-Temporal Analysis of Team Sports - A Survey.” University of Sydney, Australia. http://arxiv.org/abs/1602.06994.

Harmon, Mark, Patrick Lucey, and Diego Klabjan. 2016. “Predicting Shot Making in Basketball using Convolutional Neural Networks Learnt from Adversarial Multiagent Trajectories.” http://arxiv.org/abs/1609.04849.

Heit, Evan, Paul C Price, and Gordon H Bower. 1994. “A Model for Predicting the Outcomes of Basketball Games.” Applied Cognitive Psychology 8: 621–39. https://doi.org/10.1002/acp.2350080703.

Hofler, Richard A, and James E Payne. 2006. “Efficiency Association in the National Basketball Association: A Stochastic Fronteir Approach with Panel Data.” Managerial and Decision Economics 27 (4): 279–85. https://doi.org/10.1002/mde.l252.

Horowitz, Ira. 2010. “Seeds, spreads, and synchronicity in the Big Dance betting market.” International Journal of Applied Decision Sciences 3 (1): 1–14.

Hu, Feifang, and James V Zidek. 2004. “Forecasting NBA Basketball Playoff Outcomes Using the Weighted Likelihood.” Source: Lecture Notes-Monograph Series 45 (JANUARY 2004): 385–95. https://doi.org/10.1214/lnms/1196285406.

Jacobson, Sheldon H., Alexander G. Nikolaev, Douglas M. King, and Adrian J. Lee. 2011. “Seed distributions for the NCAA men’s basketball tournament.” Omega 39 (6): 719–24. https://doi.org/10.1016/j.omega.2011.02.004.

Jay Coleman, and Allen Lynch. 2009. “NCAA Tournament Games: The Real Nitty-Gritty.” Journal of Quantitative Analysis in Sports 5 (3): 1165–5. https://doi.org/10.2202/1559-0410.1165.

Jensen, Daniel (California State University, Long Beach). 2014. “Spatial Analysis and Visualization in the NBA Using GIS Applications.” PhD thesis, California State University, Long Beach. https://doi.org/10.1073/pnas.0703993104.

Kain, Kyle J., and Trevon D. Logan. 2014. “Are Sports Betting Markets Prediction Markets?: Evidence From a New Test.” Journal of Sports Economics 15 (1). https://doi.org/10.1177/1527002512437744.

Kelly, Y. J. 2009. “The Myth of Scheduling Bias With Back-to-Back Games in the NBA.” Journal of Sports Economics 11 (1): 100–105. https://doi.org/10.1177/1527002509337497.

Kempe, Matthias, Andreas Grunz, and Daniel Memmert. 2015. “Detecting tactical patterns in basketball: Comparison of merge self-organising maps and dynamic controlled neural networks.” European Journal of Sport Science 15 (4): 249–55. https://doi.org/10.1080/17461391.2014.933882.

Kenter, Franklin H J. 2015. “An Analysis of the Basketball Endgame: When to Foul When Trailing and Leading.” In MIT Sports Analytics Conference.

Koenker, Roger, and Gilbert W Bassett. 2010. “March Madness, Quantile Regression Bracketology, and the Hayek Hypothesis.” Journal of Business & Economic Statistics 28 (1): 26–35. https://doi.org/10.1198/jbes.2009.07093.

Kohli, Ikjyot Singh. 2015. “On Optimal Offensive Strategies in Basketball.” arXiv, 1–8. http://arxiv.org/abs/1506.06687.

Kubatko, Justin, Dean Oliver, Kevin Pelton, and Dan T Rosenbaum. 2007. “A Starting Point for Analyzing Basketball Statistics.” Journal of Quantitative Analysis in Sports 3 (3): 1–22. https://doi.org/10.2202/1559-0410.1070 ©2007.

Kuehn, Joseph. 2016. “Accounting for Complementary Skill Sets When Evaluating NBA Players ’ Values to a Specific Team.” In MIT Sloan Sports Analytics Conference, 1–11.

Kwak, Dae Hee. 2016. “The Overestimation Phenomenon in a Skill-Based Gaming Context: The Case of March Madness Pools.” Journal of Gambling Studies 32 (1): 107–23. https://doi.org/10.1007/s10899-015-9520-7.

Kwak, Dae Hee, Yu Kyoum Kim, and Matthew H Zimmerman. 2010. “User- Versus Mainstream-Media-Generated Content : Media Source , Message Valence , and Team Identification and Sport Consumers ’ Response.” International Journal of Sport Communication 3 (May): 402–21.

Lamas, Leonardo (Universidade de Brasilia), Felipe L (Universidade de Sao Paulo) Santana, Guilherme (Universidade de Sao Paulo) Otranto, and Junior (Universidade de Sao Paulo) Barrera. 2014. “Inference of team sports strategies based on a library of states: application to basketball.” Conference on Knowledge Discovery and Data Mining (KDD), 1–4.

Lee, Alexander, and Matt Barnes. n.d. “Assist Quality : Measuring the True Value of Basketball Assists.” In.

Lin, Jasper, Logan Short, and Vishnu Sundaresan. 2014. “Predicting National Basketball Association Winners.”

Lopez, Michael J., and Gregory J. Matthews. 2015. “Building an NCAA men’s basketball predictive model and quantifying its success.” Journal of Quantitative Analysis in Sports 11 (1): 5–12. https://doi.org/10.1515/jqas-2014-0058.

Lopez, Michael J., Gregory J. Matthews, and Benjamin S. Baumer. 2017. “How often does the best team win? A unified approach to understanding randomness in North American sport.” http://arxiv.org/abs/1701.05976.

Losada, Antonio G., Roberto Theron, and Alejandro Benito. 2016. “BKViz: A Basketball Visual Analysis Tool.” IEEE Computer Graphics and Applications 36 (6): 58–68. https://doi.org/10.1109/MCG.2016.124.

Lutz, Dwight. 2012. “A Cluster Analysis of NBA Players.” Sloan Sports Analytics Conference.

Manner, Hans. 2016. “Modeling and forecasting the outcomes of NBA basketball games.” Journal of Quantitative Analysis in Sports 12 (1): 31–41. https://doi.org/10.1515/jqas-2015-0088.

Markoski, Branko. 2012. “Using Neural Networks in Preparing and Analysis of Basketball Scouting.” Data Mining Applications in Engineering and Medicine, 109–32. https://doi.org/10.5772/48178.

Maymin, Allan Z., Philip Z. Maymin, and Eugene Shen. 2013. “NBA chemistry: Positive and negative synergies in basketball.” International Journal of Computer Science in Sport 12 (2): 4–23. https://doi.org/10.2139/ssrn.1935972.

Maymin, Philip. 2013. “Acceleration in the NBA: Towards an Algorithmic Taxonomy of Basketball Plays.” SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2200560.

Maymin, Philip Z. 2015. “The Automated General Manager : An Unbiased, Backtested Algorithmic System for Drafts , Trades , and Free Agency that Outperforms Human Front Offices.” In KDD ’15.

Mehrasa, Nazanin, Yatao Zhong, Frederick Tung, Luke Bornn, and Greg Mori. 2017. “Learning Person Trajectory Representations for Team Activity Analysis,” June. http://arxiv.org/abs/1706.00893.

Melouk, S H, and B B Keskin. 2012. “Team assignments and scheduling for the NCAA basketball tournament.” Journal of the Operational Research Society 63 (5): 620–30. https://doi.org/10.1057/jors.2011.55.

Meng, Matthew D., Constantino Stavros, and Kate Westberg. 2015. “Engaging fans through social media: implications for team identification.” Sport, Business and Management: An International Journal 5 (3): 199–217. https://doi.org/10.1108/SBM-06-2013-0013.

Merritt, Sears, and Aaron Clauset. 2014. “Scoring dynamics across professional team sports: tempo, balance and predictability.” EPJ Data Science 3: 4. https://doi.org/10.1140/epjds29.

Metcalfe, Cory. 2013. “NBA Star Power: Impact on Attendance.” PhD thesis.

Metrick, Andrew. 1996. “March madness? Strategic behavior in NCAA basketball tournament betting pools.” Journal of Economic Behavior and Organization 30 (2): 159–72. https://doi.org/10.1016/S0167-2681(96)00855-4.

Miller, Andrew, Luke Bornn, Ryan Adams, and Kirk Goldsberry. 2014. “Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball.” http://arxiv.org/abs/1401.0942.

Mills, Brian M., and Rodney Fort. 2018. “Team-Level Time Series Analysis in Mlb, the Nba, and the Nhl: Attendance and Outcome Uncertainty.” Journal of Sports Economics 19 (7): 911–33. https://doi.org/10.1177/1527002517690787.

Mills, Jonathan. 2015. “Decision-Making in the National Basketball Association: The Interaction of Advanced Analytics and Traditional Evaluation Methods.” PhD thesis, Lundquist College of Business.

Motomura, Akira, Kelsey V. Roberts, Daniel M. Leeds, and Michael A. Leeds. 2016. “Does It Pay to Build Through the Draft in the National Basketball Association?” Journal of Sports Economics 17 (5): 501–16. https://doi.org/10.1177/1527002516641169.

Moxley, Jerad H., and Tyler J. Towne. 2015. “Predicting success in the National Basketball Association: Stability & potential.” Psychology of Sport and Exercise 16 (JULY 2014): 128–36. https://doi.org/10.1016/j.psychsport.2014.07.003.

Page, Garritt L, Gilbert W Fellingham, and C. Shane Reese. 2007. “Using Box-Scores to Determine a Position’s Contribution to Winning Basketball Games.” Journal of Quantitative Analysis in Sports 3 (4). https://doi.org/10.2202/1559-0410.1033.

Pagno, Bruno, Leandro Guedes, Carla Freitas, and Luciana Nedel. 2014. “NBAVis: Visualizing National Basketball Association Information.” In. August.

Parlow, Matthew J. 2014. “Lessons from the NBA Lockout: Union Democracy, Public Support, and the Folly of the National Basketball Players Association.” Oklahoma Law Review 67 (1). http://ssrn.com/abstract=2437445.

Paul, Rodney J, Kristin K Paul, and Andrew P. Weinbach. 2012. “The NCAA Basketball Betting Market : Tests of the Balanced Book and Levitt Hypotheses.” Journal of Business, Industry and Economics 17: 139–51.

Pelechrinis, Konstantinos, Evangelos Papalexakis, and Christos Faloutsos. n.d. “SportsNetRank: Network-based Sports Team Ranking.” In, 0–3.

Peterson, Luke Ronald. 2014. “In defense of defense: a statistical look at roster construction , coaching strategy, and team defense in the National Basketball Association.” PhD thesis, University of Northern Iowa.

Price, Joseph, and Justin Wolfers. 2012. “Biased referees?: Reconciling results with the NBA’s analysis.” Contemporary Economic Policy 30 (3): 320–28. https://doi.org/10.1111/j.1465-7287.2011.00268.x.

Rascher, Daniel a., and John Paul G. Solmesz. 2007. “Do Fans Want Close Contests? A Test of the Uncertainty of Outcome Hypothesis in the National Basketball Association.” International Journal of Sport Finance 2 (3): 130–41.

Reich, B J, J S Hodges, B P Carlin, and A M Reich. 2006. “A spatial analysis of basketball shot chart data.” American Statistician 60 (1): 3–12. https://doi.org/10.1198/000313006X90305.

Robert Baumann, By, Victor A Matheson, Cara Howe, Robert H Baumann Victor A Matheson, Robert W Baumann, HH A Victor Matheson, and HHH Cara Howe. 2010. “Anomalies in Tournament Design: The Madness of March Madness.” Journal of Quantitative Analysis in Sports 6 (2). http://www.holycross.edu/departments/economics/website.

Rockerbie, D. W. 2014. “Exploring Interleague Parity in North America: The NBA Anomaly.” Journal of Sports Economics 17 (3): 286–301. https://doi.org/10.1177/1527002514529795.

Rodenberg, Ryan M., and Jun Woo Kim. 2011. “Precocity and labor market outcomes: Evidence from professional basketball.” Economics Bulletin 31 (3): 2185–90.

Ruiz, Francisco J R, and Fernando Perez-Cruz. 2015. “A generative model for predicting outcomes in college basketball.” Journal of Quantitative Analysis in Sports 11 (1): 39–52. https://doi.org/10.1515/jqas-2014-0055.

Ryan, Julian (Harvard College). 2015. “Show Me the Money: Examining the Validity of the Contract Year Phenomenon in the NBA.” PhD thesis.

Sampaio, Jaime, Eric J. Drinkwater, and Nuno M. Leite. 2010. “Effects of season period, team quality, and playing time on basketball players’ game-related statistics.” European Journal of Sport Science 10 (2): 141–49. https://doi.org/10.1080/17461390903311935.

Seward, Neil. 2016. “Defensive Player Classification in the National Basketball Association.” http://arxiv.org/abs/1612.05502.

Shah, Rajiv C., and Rob Romijnders. 2016. “Applying Depp Learning to Basketball Trajectories.” In KDD ’16, 4. https://doi.org/10.475/123.

Shortridge, Ashton, Kirk Goldsberry, and Matthew Adams. 2014. “Creating space to shoot: Quantifying spatial relative field goal efficiency in basketball.” Journal of Quantitative Analysis in Sports 10 (3): 303–13. https://doi.org/10.1515/jqas-2013-0094.

Simmons, Rob, and David J Berri. 2011. “Mixing the princes and the paupers: Pay and performance in the National Basketball Association.” Labour Economics 18: 381–88. https://doi.org/10.1016/j.labeco.2010.11.012.

Skinner, Brian. 2009. “The price of anarchy in basketball.” https://doi.org/10.2202/1559-0410.1217.

———. 2011. “Scoring Strategies for the Underdog : A General, Quantitative Method for Determining Optimal Sports Strategies.” Journal of Quantitative Analysis in Sports 7 (4): 1–16. https://doi.org/10.2202/1559-0410.1364.

Skinner, Brian, and Stephen J. Guy. 2015. “A method for using player tracking data in basketball to learn player skills and predict team performance.” PLoS ONE 10 (9): 1–15. https://doi.org/10.1371/journal.pone.0136393.

Skinner, Brian (Massachusetts Institute of Technology), and Matthew (Microsoft Corporation) Goldman. 2015. “Optimal Strategy in Basketball.” http://arxiv.org/abs/1512.05652.

Stavros, Constantino, Matthew D. Meng, Kate Westberg, and Francis Farrelly. 2014. “Understanding fan motivation for interacting on social media.” Sport Management Review 17 (4): 455–69. https://doi.org/10.1016/j.smr.2013.11.004.

Staw, Barry M, and Ha Hoang. 1995. “Sunk Costs in the NBA: Why Draft Order Affects Playing Time and Survival in Professional Basketball.” Administrative Science Quarterly 40 (3): 474–94. https://doi.org/10.2307/2393794.

Thomas, A. C., Samuel L. Ventura, Shane Jensen, and Stephen Ma. 2013. “Competing Process Hazard Function Models for Player Ratings in Ice Hockey.” http://arxiv.org/abs/1208.0799.

Tsiotsou, Rodoula, and Konstantinos Alexandris. 2009. “Delineating the outcomes of sponsorship: Sponsor image, word of mouth, and purchase intentions.” International Journal of Retail & Distribution Management 37 (4): 358–69. https://doi.org/10.1108/09590550910948583.

Vinu, G. n.d. “Forecasting basketball players’ performance using sparse functional data,” no. 1.

Vračar, Petar, Erik Štrumbelj, and Igor Kononenko. 2016. “Modeling basketball play-by-play data.” Expert Systems with Applications 44: 58–66. https://doi.org/10.1016/j.eswa.2015.09.004.

Wainer, H., and I. Spence. 1990. “Graphical Presentation of a Basketball Game.” Encycolpedia of Statistics in Behavioral Science 44 (4): 305. https://doi.org/10.2307/2684357.

Walker, Matthew, Melanie Sartore, and Eric MacIntosh. 2012. “Beyond the ‘Business Case’ for the WNBA: A Strategic Perspectives Approach for League Sustainability.” Journal of Contemporary Athletics 6 (1): 19.

Wang, Kuan-chieh, and Richard Zemel. 2016. “Classifying NBA Offensive Plays Using Neural Networks.” In MIT Sloan Sports Analytics Conference, 1–9.

Wardrop, Robert L. 1995. “Simpson’s Paradox and the Hot Hand in Basketball.” The American Statistician 49 (1): 24–28. https://doi.org/10.2307/2684806.

Wong, Glenn M, and Chris Deubert. 2010. “National Basketball Association General Managers: An Analysis of the Responsibilities, Qualifications and Characteristics,” no. December 2009: 1–44. http://ssrn.com/abstract=1720070.

Wright, Mason, and Jenna Wiens. 2016. “Method to their March Madness : Insights from Mining a Novel Large-Scale Dataset of Pool Brackets.” In KDD Workshop on Large-Scale Sports Analytics, 0–3.

Wright, Raymond E., Jorge Silva, and Ilknur Kaynar-Kabul. 2016. “Shot Recommender System for NBA Coaches.” In KDD ’16. https://doi.org/10.475/123_4.

Yuan, Lo Hua, Anthony Liu, Alec Yeh, Aaron Kaufman, Andrew Reece, Peter Bull, Alex Franks, Sherrie Wang, Dmitri Illushin, and Luke Bornn. 2015. “A mixture-of-modelers approach to forecasting NCAA tournament outcomes.” Journal of Quantitative Analysis in Sports 11 (1): 13–27. https://doi.org/10.1515/jqas-2014-0056.

Zheng, Stephen, Yisong Yue, and Patrick Lucey. 2016. “Learning Long-term Planning in Basketball Using Hierarchical Memory Networks Stephan.” In KDD ’16. https://doi.org/10.1145/1235.