activity
20072023
most citedA hierarchical max-stable spatial model for extreme precipitation

168 citations · 768 across the 62 of their papers we have counts for

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Showing 2018 · stat.MEShow all

5 papers · 2 filters

stat.ME2018★ 3 cited

A semiparametric spatiotemporal Bayesian model for the bulk and extremes of the Fosberg Fire Weather Index

Arnab Hazra, Brian J. Reich, Benjamin A. Shaby +1

Large wildfires pose a major environmental concern, and precise maps of fire risk can improve disaster relief planning. Fosberg Fire Weather Index (FFWI) is often used to measure w…

stat.ME2018★ 1 cited

Exploration and inference in spatial extremes using empirical basis functions

Samuel A. Morris, Brian J. Reich, Emeric Thibaud

Statistical methods for inference on spatial extremes of large datasets are yet to be developed. Motivated by standard dimension reduction techniques used in spatial statistics, we…

stat.ME2018

A nonparametric spatial test to identify factors that shape a microbiome

Susheela P. Singh, Ana-Maria Staicu, Robert R. Dunn +2

The advent of high-throughput sequencing technologies has made data from DNA material readily available, leading to a surge of microbiome-related research establishing links betwee…

stat.ME2018

Spatial shrinkage via the product independent Gaussian process prior

Arkaprava Roy, Brian J. Reich, Joseph Guinness +2

We study the problem of sparse signal detection on a spatial domain. We propose a novel approach to model continuous signals that are sparse and piecewise smooth as product of inde…

stat.ME2018

Sequential Optimization in Locally Important Dimensions

Munir A. Winkel, Jonathan W. Stallings, Curt B. Storlie +1

Optimizing an expensive, black-box function is challenging when its input space is high-dimensional. Sequential design frameworks first model with a surrogate…