Publications

Modeling Sums of Exchangeable Binary Variables
We introduce a new model for sums of exchangeable binary random variables. The proposed distribution is an approximation to the exact …
Ryan Elmore
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Modeling Sums of Exchangeable Binary Variables
The causal effect of a timeout at stopping an opposing run in the NBA
In the summer of 2017, the National Basketball Association reduced the number of total timeouts, along with other rule changes, to …
Connor Gibbs, Ryan Elmore, Bailey Fosdick
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The causal effect of a timeout at stopping an opposing run in the NBA
Bang the Can Slowly An Investigation into the 2017 Houston Astros
This article is a statistical investigation into the 2017 Major League Baseball scandal involving the Houston Astros, the World Series …
Ryan Elmore, Gregory J. Matthews
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Bang the Can Slowly An Investigation into the 2017 Houston Astros
Simulation-Based Decision Making in the NFL using NFLSimulatoR
In this paper, we introduce an R software package for simulating plays and drives using play-by-play data from the National Football …
Benjamin Williams, Will Palmquist, Ryan Elmore
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Simulation-Based Decision Making in the NFL using NFLSimulatoR
Can Machines Learn Capital Structure Dynamics
Yes, they can! Machine learning models predict leverage better than linear models and identify a broader set of leverage determinants. …
Shahram Amini, Ryan Elmore, Özde Öztekin, Jack Strauss
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Can Machines Learn Capital Structure Dynamics
Loss Aversion in Professional Golf
We examine loss aversion in the context of professional golf at US Open tournaments. In particular, we analyze data from two courses, …
Ryan Elmore, Andrew Urbaczewski
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Loss Aversion in Professional Golf
Teaching Business Analytics During the COVID-19 Pandemic: A Tale of Two Courses
This paper describes the experiences of two business faculty who taught two different levels of undergraduate business analytics …
Benjamin Williams, Ryan Elmore
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Big Data, Efficient Markets, and the End of Daily Fantasy Sports As We Know It?
Fantasy Sports is a popular way for individuals to add another layer of enjoyment to their interest in sports. While fantasy sports …
Andrew Urbaczewski, Ryan Elmore
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Big Data, Efficient Markets, and the End of Daily Fantasy Sports As We Know It?
Predicting which teams will make the NBA playoffs
The National Basketball Association (NBA) is the premier men’s professional basketball league in the world. Thirty teams play during …
Ryan Elmore
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Predicting which teams will make the NBA playoffs
Hot and Cold Hands on the PGA Tour: Do they Exist?
In this paper, we examine the “hot hand” (and “cold hand”) phenomenon as it relates to the PGA Tour using data …
Ryan Elmore, Andrew Urbaczewski
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Hot and Cold Hands on the PGA Tour: Do they Exist?
A Data Mining Approach to Estimating Rooftop Photovoltaic Potential in the U.S.
This paper aims to quantify the amount of suitable rooftop area for photovoltaic (PV) energy generation in the continental United …
Caleb Phillips, Ryan Elmore, Jenny Melius, Pieter Gagnon, Robert Margolis
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Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling
We provide a detailed estimate of the technical potential of rooftop solar photovoltaic (PV) electricity generation throughout the …
Pieter Gagnon, Robert Margolis, Jennifer Melius, Caleb Phillips, Ryan Elmore
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Using GIS-based methods and Lidar data to estimate rooftop solar technical potential in U.S. cities
We estimate the technical potential of rooftop solar photovoltaics (PV) for select US cities by combining light detection and ranging …
Robert Margolis, Pieter Gagnon, Jennifer Melius, Caleb Phillips, Ryan Elmore
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A Starting Point for Navigating the World of Daily Fantasy Basketball
Fantasy sports, particularly the daily variety in which new lineups are selected each day, is a rapidly growing industry. The two …
Charles South, Ryan Elmore, Andrew Clarage, Rob Sickorez, Jing Cao
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A Starting Point for Navigating the World of Daily Fantasy Basketball
Prediction and Characterization of Application Power Use in a High Performance Computing Environment
Power use in data centers and high‐performance computing (HPC) facilities has grown in tandem with increases in the size and number of …
Bruce Bugbee, Caleb Phillips, Hilary Egan, Ryan Elmore, Kenny Gruchalla, Avi Purkayastha
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Prediction and Characterization of Application Power Use in a High Performance Computing Environment
A review of "Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports."
Ryan Elmore
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A case study to examine the imputation of missing data to improve clustering analysis of building electrical demand
Building performance data are widely used for daily operation, improving building efficiency, identifying and diagnosing performance …
Daniel Inman, Ryan Elmore, Brian Bush
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Modeling photovoltaic diffusion: an analysis of geospatial datasets
This study combines address-level residential photovoltaic (PV) adoption trends in California with several types of geospatial …
Carolyn Davidson, Easan Drury, Anthony Lopez, Ryan Elmore, Robert Margolis
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Spherical data depth and a multivariate median
This article introduces the notion of spherical data depth based on random hyperspheres in $R^d$. This depth measure can be used as an …
Ryan Elmore, Thomas P. Hettmansperger, Fengjuan Xuan
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A fully nonparametric test for one-way layouts
The use of a vector of sign statistics as the basis of a nonparametric test for equality of distributions in one‐way layouts is …
Ryan Elmore, Thomas P. Hettmansperger, Fengjuan Xuan
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Nonparametric density estimation from covariate information
An increasing number of statistical problems arise in connection with functional calibration. In each case, inexpensive indirect data …
Ryan Elmore, Peter Hall, Vladimir Troynikov
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Nonparametric inference in multivariate mixtures
We consider mixture models in which the components of data vectors from any given subpopulation are statistically independent, or …
Peter Hall, Amnon Neeman, Reza Pekyari, Ryan Elmore
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An application of classical invariant theory to identifiability in nonparametric mixtures
It is known that the identifiability of multivariate mixtures reduces to a question in algebraic geometry. We solve the question by …
Ryan Elmore, Peter Hall, Amnon Neeman
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The sign statistic, one-way layouts and mixture models
We consider the use of sign statistics in two different types of one-way layouts. The first layout is for data collected to compare …
Ryan Elmore, Thomas P. Hettmansperger, Fengjuan Xuan
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Simulation study of characteristics of statistical estimators of inhibition concentration
Statistical estimators of the concentrations associated with specified levels of reproductive toxicity in the aquatic organism …
John A. Bailer, Ryan Elmore, B. Joseph Shumate, James T. Oris
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Estimating component cumulative distribution functions in finite mixture models
We propose a method of estimating component distribution functions (cdfs) in finite mixture distributions without specifying a …
Ryan Elmore, Thomas P. Hettmansperger, Hoben Thomas
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