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20102026
most citedInference in Functional Linear Quantile Regression

22 citations · 76 across the 25 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

stat.AP2018★ 2 cited

A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes

Arnab Hazra, Brian J. Reich, Ana-Maria Staicu

To study trends in extreme precipitation across US over the years 1951-2017, we consider 10 climate indexes that represent extreme precipitation, such as annual maximum of daily pr…

stat.CO2018★ 4 cited

Hierarchical Continuous Time Hidden Markov Model, with Application in Zero-Inflated Accelerometer Data

Zekun Xu, Eric B. Laber, Ana-Maria Staicu

Wearable devices including accelerometers are increasingly being used to collect high-frequency human activity data in situ. There is tremendous potential to use such data to infor…

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

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.AP2018★ 3 cited

Functional Variable Selection for EMG-based Control of a Robotic Hand Prosthetic

Md Nazmul Islam, Jonathan Stallings, Ana-Maria Staicu +3

State-of-the-art robotic hand prosthetics generate finger and wrist movement through pattern recognition (PR) algorithms using features of forearm electromyogram (EMG) signals, but…

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…