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Trevor D. Ruiz
Trevor D. Ruiz
Assistant Professor, Cal Poly San Luis Obispo
Verified email at calpoly.edu - Homepage
Title
Cited by
Cited by
Year
Prediction of spread and regional development of hop powdery mildew: A network analysis
DH Gent, S Bhattacharyya, T Ruiz
Phytopathology 109 (8), 1392-1403, 2019
132019
Sparse, low-bias, and scalable estimation of high dimensional vector autoregressive models via union of intersections
T Ruiz, M Balasubramanian, KE Bouchard, S Bhattacharyya
arXiv preprint arXiv:1908.11464, 2019
52019
Optimizing the Union of Intersections LASSO () and Vector Autoregressive () Algorithms for Improved Statistical Estimation at Scale
M Balasubramanian, T Ruiz, B Cook, S Bhattacharyya, A Shrivastava, ...
arXiv preprint arXiv:1808.06992, 2018
42018
Sparse and low-bias estimation of high dimensional vector autoregressive models
T Ruiz, S Bhattacharyya, M Balasubramanian, K Bouchard
Learning for Dynamics and Control, 55-64, 2020
32020
Scaling of union of intersections for inference of granger causal networks from observational data
M Balasubramanian, TD Ruiz, B Cook, M Prabhat, S Bhattacharyya, ...
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
32020
A Graphical Sufficient Condition for the Stability of First-Order Log-Linear Poisson Generalized Vector Autoregressive Processes
T Ruiz, S Bhattacharyya, SC Emerson
Available at SSRN 4283477, 2022
12022
A General Framework for Spatio-Temporal Modeling of Epidemics With Multiple Epicenters: Application to an Aerially Dispersed Plant Pathogen
AME Ojwang', T Ruiz, S Bhattacharyya, S Chatterjee, PS Ojiambo, ...
Frontiers in Applied Mathematics and Statistics 7, 721352, 2021
12021
Sparse estimation of parameter support sets for generalized vector autoregressions by resampling and model aggregation
TD Ruiz, S Bhattacharyya, SC Emerson
arXiv preprint arXiv:2307.09684, 2023
2023
Estimation and Sparse Selection of Conditional Probability Models for Vector Time Series
TD Ruiz
2020
Spatiotemporally coherent tensor decompositions for the analysis of trajectory data
T Ruiz, CL Ellison
Geospatial Research Laboratory (US), 2020
2020
A network model to predict spread and mesoscale level development of hop powdery mildew
DH Gent, S Bhattacharyya, T Ruiz, M Twomey, S Wolfenbarger
2017 APS Annual Meeting, 2017
2017
Emergent Natural Phenomena & Scientific Models
TD Ruiz
Reed College, 2011
2011
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