Brian J. Reich

Orcid: 0000-0002-5473-120X

According to our database1, Brian J. Reich authored at least 22 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
A Data-Fusion Approach to Assessing the Contribution of Wildland Fire Smoke to Fine Particulate Matter in California.
Remote. Sens., September, 2023

Modelling wildland fire burn severity in California using a spatial Super Learner approach.
CoRR, 2023

Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields.
CoRR, 2023

Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting.
CoRR, 2023

2022
Accounting for Location Measurement Error in Imaging Data With Application to Atomic Resolution Images of Crystalline Materials.
Technometrics, 2022

Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods.
Stat. Comput., 2022

2021
Sequential Optimization in Locally Important Dimensions.
Technometrics, 2021

Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty.
J. Comput. Graph. Stat., 2021

Spatial Shrinkage Via the Product Independent Gaussian Process Prior.
J. Comput. Graph. Stat., 2021

Deep distribution regression.
Comput. Stat. Data Anal., 2021

2020
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting.
CoRR, 2020

DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction.
CoRR, 2020

2019
Spatial Signal Detection Using Continuous Shrinkage Priors.
Technometrics, 2019

Global forensic geolocation with deep neural networks.
CoRR, 2019

Nearest-Neighbor Neural Networks for Geostatistics.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
A non-parametric bootstrapping framework embedded in a toolkit for assessing water quality model performance.
Environ. Model. Softw., 2018

2017
A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints.
Stat. Anal. Data Min., 2017

2015
Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques.
Technometrics, 2015

2013
Analysis of computationally demanding models with continuous and categorical inputs.
Reliab. Eng. Syst. Saf., 2013

2012
Evaluating temporally weighted kernel density methods for predicting the next event location in a series.
Ann. GIS, 2012

2009
Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes.
Technometrics, 2009

Spatial-temporal association between fine particulate matter and daily mortality.
Comput. Stat. Data Anal., 2009


  Loading...