Ryan Elmore
Ryan Elmore
University of Denver; Associate Professor
Verified email at - Homepage
Cited by
Cited by
Rooftop solar photovoltaic technical potential in the United States. A detailed assessment
P Gagnon, R Margolis, J Melius, C Phillips, R Elmore
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2016
Nonparametric inference in multivariate mixtures
P Hall, A Neeman, R Pakyari, R Elmore
Biometrika 92 (3), 667-678, 2005
Modeling photovoltaic diffusion: an analysis of geospatial datasets
C Davidson, E Drury, A Lopez, R Elmore, R Margolis
Environmental Research Letters 9 (7), 074009, 2014
Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling
P Gagnon, R Margolis, J Melius, C Phillips, R Elmore
Environmental Research Letters 13 (2), 024027, 2018
Using GIS-based methods and lidar data to estimate rooftop solar technical potential in US cities
R Margolis, P Gagnon, J Melius, C Phillips, R Elmore
Environmental Research Letters 12 (7), 074013, 2017
Hybrid model-based and data-driven fault detection and diagnostics for commercial buildings
S Frank, M Heaney, X Jin, J Robertson, H Cheung, R Elmore, G Henze
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2016
Spherical data depth and a multivariate median
RT Elmore, TP Hettmansperger, F Xuan
DIMACS Series in Discrete Mathematics and Theoretical Computer Science 72, 87, 2006
An application of classical invariant theory to identifiability in nonparametric mixtures
R Elmore, P Hall, A Neeman
Annales de l'institut Fourier 55 (1), 1-28, 2005
Identifiability and estimation in finite mixture models with multinomial coefficients
RT Elmore, S Wang
Technical Report 03-04, Penn State University, 2003
Can machines learn capital structure dynamics?
S Amini, R Elmore, ÷ ÷ztekin, J Strauss
Journal of Corporate Finance 70, 102073, 2021
Estimating component cumulative distribution functions in finite mixture models
RT Elmore, TP Hettmansperger, H Thomas
Communications in Statistics-Theory and Methods 33 (9), 2075-2086, 2004
mixtools: Tools for analyzing finite mixture models
D Young, T Benaglia, D Chauveau, D Hunter, R Elmore, ...
R package version 1.1, 2017
Loss aversion in professional golf
R Elmore, A Urbaczewski
Journal of Sports Economics 22 (2), 202-217, 2021
A case study to examine the imputation of missing data to improve clustering analysis of building electrical demand
D Inman, R Elmore, B Bush
Building Services Engineering Research and Technology 36 (5), 628-637, 2015
mixtools: Tools for mixture models
DS Young, T Benaglia, D Chauveau, RT Elmore, TP Hettmansperger, ...
R package version 0.3 3, 2009
A data mining approach to estimating rooftop photovoltaic potential in the US
C Phillips, R Elmore, J Melius, P Gagnon, R Margolis
Journal of Applied Statistics 46 (3), 385-394, 2019
Prediction and characterization of application power use in a high‐performance computing environment
B Bugbee, C Phillips, H Egan, R Elmore, K Gruchalla, A Purkayastha
Statistical Analysis and Data Mining: The ASA Data Science Journal 10 (3†…, 2017
Rooftop Solar Photovoltaic Technical Potential in the United States: A Detailed Assessment. National Renewable Energy Laboratory
P Gagnon, R Margolis, J Melius, C Phillips, R Elmore
Technical report: NREL/TP-6A20–65298, 2016
The causal effect of a timeout at stopping an opposing run in the NBA
CP Gibbs, R Elmore, BK Fosdick
The Annals of Applied Statistics 16 (3), 1359-1379, 2022
Simulation study of characteristics of statistical estimators of inhibition concentration
AJ Bailer, RT Elmore, BJ Shumate, JT Oris
Environmental Toxicology and Chemistry: An International Journal 19 (12†…, 2000
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