Brian J. Reich

29 papers Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DANCE: Doubly Adaptive Neighborhood Conformal Estimation. CoRR Brandon R. Feng, Brian J. Reich, Daniel Beaglehole, Xihaier Luo, David Keetae Park, Shinjae Yoo, Zhechao Huang, Xueyu Mao, Olcay Boz, Jungeum Kim
2025	J	`jnl`	A spatiotemporal optimization engine for prescribed burning in the Southeast US. Ecol. Informatics Reetam Majumder, Adam J. Terando, John Kevin Hiers, Jaime A. Collazo, Brian J. Reich
2025	J	`jnl`	Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields. Technometrics Pratik Nag, Ying Sun, Brian J. Reich
2025	J	`jnl`	STACI: Spatio-Temporal Aleatoric Conformal Inference. CoRR Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian J. Reich
2024	J	`jnl`	Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes. CoRR Brandon R. Feng, Reetam Majumder, Brian J. Reich, Mohamed A. Abba
2023	J	`jnl`	A Data-Fusion Approach to Assessing the Contribution of Wildland Fire Smoke to Fine Particulate Matter in California. Remote. Sens. Hongjian Yang, Sofia Ruiz-Suarez, Brian J. Reich, Yawen Guan, Ana G. Rappold
2023	J	`jnl`	Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields. CoRR Pratik Nag, Ying Sun, Brian J. Reich
2023	J	`jnl`	Modelling wildland fire burn severity in California using a spatial Super Learner approach. CoRR Nicholas Simafranca, Bryant Willoughby, Erin O'Neil, Sophie Farr, Brian J. Reich, Naomi Giertych, Margaret Johnson, Madeleine Pascolini-Campbell
2023	J	`jnl`	Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting. CoRR Pratik Nag, Ying Sun, Brian J. Reich
2022	J	`jnl`	Accounting for Location Measurement Error in Imaging Data With Application to Atomic Resolution Images of Crystalline Materials. Technometrics Matthew J. Miller, Matthew J. Cabral, Elizabeth C. Dickey, James M. LeBeau, Brian J. Reich
2022	J	`jnl`	Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods. Stat. Comput. Suman Majumder, Yawen Guan, Brian J. Reich, Arvind K. Saibaba
2021	J	`jnl`	Deep distribution regression. Comput. Stat. Data Anal. Rui Li, Brian J. Reich, Howard D. Bondell
2021	J	`jnl`	Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty. J. Comput. Graph. Stat. Danielle Sass, Bo Li, Brian J. Reich
2021	J	`jnl`	Sequential Optimization in Locally Important Dimensions. Technometrics Munir A. Winkel, Jonathan W. Stallrich, Curtis B. Storlie, Brian J. Reich
2021	J	`jnl`	Spatial Shrinkage Via the Product Independent Gaussian Process Prior. J. Comput. Graph. Stat. Arkaprava Roy, Brian J. Reich, Joseph Guinness, Russell T. Shinohara, Ana-Maria Staicu
2020	J	`jnl`	DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction. CoRR Yuxiao Li, Ying Sun, Brian J. Reich
2020	J	`jnl`	Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting. CoRR David B. Huberman, Brian J. Reich, Howard D. Bondell
2019	J	`jnl`	Deep Distribution Regression. CoRR Rui Li, Howard D. Bondell, Brian J. Reich
2019	J	`jnl`	Global forensic geolocation with deep neural networks. CoRR Neal S. Grantham, Brian J. Reich, Eric B. Laber, Krishna Pacifici, Robert R. Dunn, Noah Fierer, Matthew Gebert, Julia S. Allwood, Seth A. Faith
2019	—	`conf`	Nearest-Neighbor Neural Networks for Geostatistics. ICDM Workshops Haoyu Wang, Yawen Guan, Brian J. Reich
2019	J	`jnl`	Nearest-Neighbor Neural Networks for Geostatistics. CoRR Haoyu Wang, Yawen Guan, Brian J. Reich
2019	J	`jnl`	Spatial Signal Detection Using Continuous Shrinkage Priors. Technometrics An-Ting Jhuang, Montserrat Fuentes, Jacob L. Jones, Giovanni Esteves, Chris M. Fancher, Marschall Furman, Brian J. Reich
2018	J	`jnl`	A non-parametric bootstrapping framework embedded in a toolkit for assessing water quality model performance. Environ. Model. Softw. Dominic A. Libera, A. Sankarasubramanian, Ashish Sharma, Brian J. Reich
2017	J	`jnl`	A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. Stat. Anal. Data Min. Qiwei Li, Michele Guindani, Brian J. Reich, Howard D. Bondell, Marina Vannucci
2015	J	`jnl`	Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques. Technometrics Yimin Kao, Brian J. Reich, Curtis B. Storlie, Blake Anderson
2013	J	`jnl`	Analysis of computationally demanding models with continuous and categorical inputs. Reliab. Eng. Syst. Saf. Curtis B. Storlie, Brian J. Reich, Jon C. Helton, Laura Painton Swiler, Cédric J. Sallaberry
2012	J	`jnl`	Evaluating temporally weighted kernel density methods for predicting the next event location in a series. Ann. GIS Michael D. Porter, Brian J. Reich
2009	J	`jnl`	Spatial-temporal association between fine particulate matter and daily mortality. Comput. Stat. Data Anal. Jungsoon Choi, Montserrat Fuentes, Brian J. Reich
2009	J	`jnl`	Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes. Technometrics Brian J. Reich, Curtis B. Storlie, Howard D. Bondell