Brian J. Reich

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 19

Top Topics

Malware Detection

Conditional Density Estimation

Spatial And Temporal

Top Venues

J. Comput. Graph. Stat.

Stat. Anal. Data Min.

Publications

Nicholas Simafranca, Bryant Willoughby, Erin O'Neil, Sophie Farr, Brian J. Reich, Naomi Giertych, Margaret Johnson, Madeleine Pascolini-Campbell
Modelling wildland fire burn severity in California using a spatial Super Learner approach. CoRR (2023)
Pratik Nag, Ying Sun, Brian J. Reich
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields. CoRR (2023)
Hongjian Yang, Sofia Ruiz-Suarez, Brian J. Reich, Yawen Guan, Ana G. Rappold
A Data-Fusion Approach to Assessing the Contribution of Wildland Fire Smoke to Fine Particulate Matter in California. Remote. Sens. 15 (17) (2023)
Pratik Nag, Ying Sun, Brian J. Reich
Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting. CoRR (2023)
Matthew J. Miller, Matthew J. Cabral, Elizabeth C. Dickey, James M. LeBeau, Brian J. Reich
Accounting for Location Measurement Error in Imaging Data With Application to Atomic Resolution Images of Crystalline Materials. Technometrics 64 (1) (2022)
Suman Majumder, Yawen Guan, Brian J. Reich, Arvind K. Saibaba
Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods. Stat. Comput. 32 (5) (2022)
Rui Li, Brian J. Reich, Howard D. Bondell
Deep distribution regression. Comput. Stat. Data Anal. 159 (2021)
Danielle Sass, Bo Li, Brian J. Reich
Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty. J. Comput. Graph. Stat. 30 (4) (2021)
Munir A. Winkel, Jonathan W. Stallrich, Curtis B. Storlie, Brian J. Reich
Sequential Optimization in Locally Important Dimensions. Technometrics 63 (2) (2021)
Arkaprava Roy, Brian J. Reich, Joseph Guinness, Russell T. Shinohara, Ana-Maria Staicu
Spatial Shrinkage Via the Product Independent Gaussian Process Prior. J. Comput. Graph. Stat. 30 (4) (2021)
Yuxiao Li, Ying Sun, Brian J. Reich
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction. CoRR (2020)
David B. Huberman, Brian J. Reich, Howard D. Bondell
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting. CoRR (2020)
Haoyu Wang, Yawen Guan, Brian J. Reich
Nearest-Neighbor Neural Networks for Geostatistics. ICDM Workshops (2019)
An-Ting Jhuang, Montserrat Fuentes, Jacob L. Jones, Giovanni Esteves, Chris M. Fancher, Marschall Furman, Brian J. Reich
Spatial Signal Detection Using Continuous Shrinkage Priors. Technometrics 61 (4) (2019)
Haoyu Wang, Yawen Guan, Brian J. Reich
Nearest-Neighbor Neural Networks for Geostatistics. CoRR (2019)
Neal S. Grantham, Brian J. Reich, Eric B. Laber, Krishna Pacifici, Robert R. Dunn, Noah Fierer, Matthew Gebert, Julia S. Allwood, Seth A. Faith
Global forensic geolocation with deep neural networks. CoRR (2019)
Rui Li, Howard D. Bondell, Brian J. Reich
Deep Distribution Regression. CoRR (2019)
Dominic A. Libera, A. Sankarasubramanian, Ashish Sharma, Brian J. Reich
A non-parametric bootstrapping framework embedded in a toolkit for assessing water quality model performance. Environ. Model. Softw. 107 (2018)
Qiwei Li, Michele Guindani, Brian J. Reich, Howard D. Bondell, Marina Vannucci
A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. Stat. Anal. Data Min. 10 (6) (2017)
Yimin Kao, Brian J. Reich, Curtis B. Storlie, Blake Anderson
Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques. Technometrics 57 (4) (2015)
Curtis B. Storlie, Brian J. Reich, Jon C. Helton, Laura Painton Swiler, Cédric J. Sallaberry
Analysis of computationally demanding models with continuous and categorical inputs. Reliab. Eng. Syst. Saf. 113 (2013)
Michael D. Porter, Brian J. Reich
Evaluating temporally weighted kernel density methods for predicting the next event location in a series. Ann. GIS 18 (3) (2012)
Jungsoon Choi, Montserrat Fuentes, Brian J. Reich
Spatial-temporal association between fine particulate matter and daily mortality. Comput. Stat. Data Anal. 53 (8) (2009)
Brian J. Reich, Curtis B. Storlie, Howard D. Bondell
Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes. Technometrics 51 (2) (2009)