Shane Jensen Shane T. Jensen

 Professor of Statistics
 The Wharton School
 University of Pennsylvania
 463 Huntsman Hall, 3730 Walnut Street

 stjensen at wharton.upenn.edu
 
 Lists!


My current cv is available for download in PDF format.

A list of my publications can be found here: Publication List

My Google Scholar profile: Google Scholar Profile


 Education

 Recent Media Attention


2019/08/20: Knowable Magazine article about our review of hockey analytics:
    Analytics wind up for a shot in ice hockey


2019/06/26: Interview with my student (and WSII Research Fellow) Ajjit Narayanan about our urban analytics research program:
    Why I Decided to Turn My Urban Analytics Fellowship into a Thesis and Full-Time Job


2019/06/17: Radio interview on the Wharton Business Radio show "Dollars and Change":
    Gleaning Insights from Urban Analytics


2019/03/19: Q&A with Penn Today about March Madness:
    The math behind March Madness


2017/07/19: Next City article about our urban analytics research program:
    Philly Streets Get Test of Jane Jacobs' "Eyes on the Street Effect"


2017/07/12: Knowledge@Wharton article about our urban analytics research program:
    How Urban Planners Can Encourage Vibrancy - and Create Safer Cities


2017/06/02: Radio interview on the Wharton Business Radio show "Dollars and Change":
    Shane Jensen on Urban Analytics


2016/07/18: Faculty Voices interview by the Wharton Social Impact Initiative:
    In the age of big urban data, Jane Jacobs can now have empirical backing


 Urban Analytics


My current primary research focus is urban analytics: the quantitative analysis of the functioning of local areas within large cities. The recent explosion in data collection on so many aspects of city life gives us the opportunity to investigate urban environments at a higher resolution than ever before. Philadelphia is an ideal focus for our work as it is a city undergoing rapid change and development against a backdrop of difficult civic challenges including substantial economic disparity and dramatic variation in safety between different neighborhoods of the city.

My research program is a collaborative and multidisciplinary effort that spans the fields of architecture, urban planning, criminology and statistics. Our endeavor is to take the available data on cities and set up artificial experimental situations that allow us to learn as objectively as possible about what aspects of city environments are associated with safety and other outcomes.

You can read more about our data collection and analysis pipeline in our paper:

    Analysis of Urban Vibrancy and Safety in Philadelphia (2019) by C. Humphrey, S.T. Jensen, D. Small and R. Thurston.
        Forthcoming in Environment and Planning B: Urban Analytics and City Science

and our recent efforts to model crime dynamics in Philadelphia in our paper:

    Spatial modeling of trends in crime over time in Philadelphia (2019) by C. Balocchi and S.T. Jensen.
        Forthcoming in the Annals of Applied Statistics

You can also read more about the goals of our urban analytics research program in these media articles:

    Next City: Philly Streets Get Test of Jane Jacobs Eyes on the Street Effect

    Knowledge@Wharton: How Urban Planners Can Encourage Vibrancy — and Create Safer Cities.

Our urban analytics research program has received generous support from the Wharton Social Impact Initiative.


 Statistics in Sports


I also have an active research program developing statistical models for the quantitative analysis of sports. I've been involved in developing models for the evaluation of fielding ability as well as prediction of future hitting and pitching performance, quantifying player performance in hockey and prediction of future performance in football.

If you are interested in sports and statistics, you should check out our weekly radio show Wharton Moneyball which is broadcast live 8-10am on Wednesdays on Wharton Business Radio:

    Wharton Moneyball on Wharton Business Radio (Sirius XM 132)

or you can listen to all of our past shows as podcasts:

    Wharton Moneyball Podcast on Soundcloud

You can read about some of my sports analytics work in:

Historical perspectives and current directions in hockey analytics (2019) by N. Nandakumar and S.T. Jensen. Annual Review of Statistics and Its Application 6:8.1-8.18.

Estimating an NBA player's impact on his team’s chances of winning (2016) by S. Deshpande and S.T. Jensen. Journal of Quantitative Analysis of Sports 12:51-72.

OpenWAR: an open source system for evaluating overall player performance in major league baseball (2015) by B.S. Baumer, G.J. Matthews and S.T. Jensen. Journal of Quantitative Analysis of Sports 11:69-84.

Predicting the Draft and Career Success of Tight Ends in the National Football League (2014) by J. Mulholland and S.T. Jensen. Journal of Quantitative Analysis of Sports 10:381-396.

Competing Process Hazard Function Models for Player Ratings in Ice Hockey (2013) by A.C. Thomas, S.L. Ventura, S.T. Jensen and S. Ma. Annals of Applied Statistics 7:1497-1524.

Estimating player contribution in hockey with regularized logistic regression (2013) by R.B. Gramacy, M. Taddy and S.T. Jensen Journal of Quantitative Analysis in Sports 9:97-111.

Hierarchical Bayesian modeling of hitting performance in baseball (2009) by S.T. Jensen, B. McShane and A.J. Wyner Bayesian Analysis 4:631-674.

Bayesball: a Bayesian hierarchical model for evaluating fielding in major league baseball (2009) by S.T. Jensen, K. Shirley and A.J. Wyner Annals of Applied Statistics 3:491-520.

SAFE: Spatial Aggregate Fielding Evaluation, our methodology for measuring fielding ability in major league baseball players using a hierarchical probit model. Results are presented across seven seasons of high-resolution ball-in-play data.


 Other Research Interests


I enjoy developing statistical methodology and doing applied data science for a wide variety of application areas. Beyond urban and sports analytics, some of my other research interests are:

1. Genetics and Molecular Biology

Developing sophisticated statistical models for the evolution of genomic sequences. Areas of application include the response of HIV under various therapies as well as evolution during cancer progression. Developing models for combining heterogeneous data sources to refine predictions about co-regulated genes and regulatory networks in cells.

COGRIM: Bayesian variable selection model for regulatory network inference through the integration of gene expression data, ChIP binding data and sequence motif data.

PHYLOCLUS: Suite of perl programs for clustering co-regulated genes based on phylogenetically discovered transcription factor binding motifs.

MOTIF CLUSTERING: Perl programs and supplemental material for clustering transcription factor binding motif matrices based on a hierarchical Bayesian model.

2. Bayesian Nonparametrics

Extensions of Dirichlet processes for grouped and ordered data. Alternative prior processes for non-parametric clustering. Tree-based approaches for high-dimensional settings.

3. Economics and Marketing

Estimating income volatility while allowing for heterogeneity over time and between individuals in the population. Exploring the relationship between income volatility and risk aversion. Modeling career choice as a function of risk aversion. Models for missing data in marketing research.



 Older Media Attention


2015/10/13: Articles about my collaboration with researchers investigating why elephants get less cancer than humans: Newsweek and IFLscience

2013/02/13: Article about my hockey research with Bobby Gramacy and Matt Taddy at Chicago Booth School of Business which was also linked by the Wall Street Journal

2009/10/26: Another interview about my fielding research on Scienceline

2009/01/26: More coverage of my income volatility research with Stephen Shore on the Marginal Revolution Blog

2008/07/14: Another mention of our fielding research in Slate

2008/06/25: Coverage of my income volatility research with Stephen Shore on the Freakonomics Blog

2008/02/21: The NY Post and Jeter himself responds to our fielding research! NY Post Jeter Response

"Maybe it was a computer glitch" - Derek Jeter


2008/02/17: Media Attention for our Baseball Fielding Research: AP Boston Globe Popular Science Wired Science Citizen

2008/02/11: Media/Blog Discussion of our NY Times article: ESPN article Freakonomics Blog Statistics Blog

2008/02/10: Our NY Times article about Roger Clemens: NY Times Link PDF file


 

Shane Jensen Website Design by Aline N. (2008)