activity
20182021
most citedSpatial Functional Data Modeling of Plant Reflectances

1 citations · 1 across the 1 of their papers we have counts for

collaborators

6 papers

stat.AP20211 cited

Spatial Functional Data Modeling of Plant Reflectances

Philip A. White, Henry Frye, Michael F. Christensen +2

Plant reflectance spectra - the profile of light reflected by leaves across different wavelengths - supply the spectral signature for a species at a spatial location to enable esti…

stat.ME2019

Generalized Evolutionary Point Processes: Model Specifications and Model Comparison

Philip A. White, Alan E. Gelfand

Generalized evolutionary point processes offer a class of point process models that allows for either excitation or inhibition based upon the history of the process. In this regard…

stat.ME2019

Multivariate Functional Data Modeling with Time-varying Clustering

Philip A. White, Alan E. Gelfand

We consider the situation where multivariate functional data has been collected over time at each of a set of sites. Our illustrative setting is bivariate, monitoring ozone and PM$…

stat.AP2018

Modeling Daily Seasonality of Mexico City Ozone using Nonseparable Covariance Models on Circles Cross Time

Philip A. White, Emilio Porcu

Mexico City tracks ground-level ozone levels to assess compliance with national ambient air quality standards and to prevent environmental health emergencies. Ozone levels show dis…

stat.AP2018

Pollution State Modeling for Mexico City

Philip A. White, Alan E. Gelfand, Eliane R. Rodrigues +1

Ground-level ozone and particulate matter pollutants are associated with a variety of health issues and increased mortality. For this reason, Mexican environmental agencies regulat…

stat.ME2018

Towards a Complete Picture of Stationary Covariance Functions on Spheres Cross Time

Philip White, Emilio Porcu

With the advent of wide-spread global and continental-scale spatiotemporal datasets, increased attention has been given to covariance functions on spheres over time. This paper pro…