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Author

Patrick L. McDermott

Observed names: McDermott, Patrick, Patrick McDermott
Observed institution: University of Missouri
ORCID: 0000-0002-0734-2770
Observed ORCID: 0000-0002-0734-2770
OpenAlex ID: A5040468104
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data
2019 · Patrick L. McDermott, Christopher K. Wikle · Entropy · 118
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Deep echo state networks with uncertainty quantification for spatio‐temporal forecasting
2018 · Patrick L. McDermott, Christopher K. Wikle · Environmetrics · 87
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An ensemble quadratic echo state network for non‐linear spatio‐temporal forecasting
2017 · Patrick L. McDermott, Christopher K. Wikle · Stat · 81
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A model‐based approach for analog spatio‐temporal dynamic forecasting
2015 · Patrick L. McDermott, Christopher K. Wikle · Environmetrics · 32
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Hyper-local, efficient extreme heat projection and analysis using machine learning to augment a hybrid dynamical-statistical downscaling technique
2020 · Luke Madaus, Patrick McDermott, et al. · Urban Climate · 15
Hierarchical Nonlinear Spatio-temporal Agent-Based Models for Collective Animal Movement
2017 · Patrick L. McDermott, Christopher K. Wikle, et al. · Journal of Agricultural Biological and Environmental Statistics · 14
A hierarchical spatiotemporal analog forecasting model for count data
2017 · Patrick L. McDermott, Christopher K. Wikle, et al. · Ecology and Evolution · 7
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Methods for Bayesian Variable Selection with Binary Response Data using the EM Algorithm
2016 · McDermott, Patrick, Snyder, John, et al. · arXiv (Cornell University) · 5
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Hierarchical (Deep) Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting.
2018 · Patrick L. McDermott, Christopher K. Wikle · arXiv (Cornell University) · 2
Statistical-based dynamic machine learning models for nonlinear spatio-temporal processes
2018 · McDermott, Patrick
Works count: 10
Citation count: 361
H-index: 7
I10-index: 6
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