activity
20192024
most citedElastic depths for detecting shape anomalies in functional data

28 citations · 47 across the 7 of their papers we have counts for

collaborators

8 papers

stat.AP2024★ 3 cited

Validating Climate Models with Spherical Convolutional Wasserstein Distance

Robert C. Garrett, Trevor Harris, Bo Li +1

The validation of global climate models is crucial to ensure the accuracy and efficacy of model output. We introduce the spherical convolutional Wasserstein distance to more compre…

stat.ME2023

Sliced Elastic Distance for Evaluating Amplitude and Phase Differences in Precipitation Models

Robert C. Garrett, Trevor Harris, Zhuo Wang +1

Climate model evaluation plays a crucial role in ensuring the accuracy of climatological predictions. However, existing statistical evaluation methods often overlook time misalignm…

q-bio.PE2022★ 12 cited

Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data

Adam Tonks, Trevor Harris, Bo Li +2

Machine learning methods have seen increased application to geospatial environmental problems, such as precipitation nowcasting, haze forecasting, and crop yield prediction. Howeve…

stat.AP2022

Multi-model Ensemble Analysis with Neural Network Gaussian Processes

Trevor Harris, Bo Li, Ryan Sriver

Multi-model ensemble analysis integrates information from multiple climate models into a unified projection. However, existing integration approaches based on model averaging can d…

stat.ME2022

Bayesian Changepoint Estimation for Spatially Indexed Functional Time Series

Mengchen Wang, Trevor Harris, Bo Li

We propose a Bayesian hierarchical model to simultaneously estimate mean based changepoints in spatially correlated functional time series. Unlike previous methods that assume a sh…

stat.ME2020

Scalable Multiple Changepoint Detection for Functional Data Sequences

Trevor Harris, Bo Li, James Derek Tucker

We propose the Multiple Changepoint Isolation (MCI) method for detecting multiple changes in the mean and covariance of a functional process. We first introduce a pair of projectio…

stat.ME2019★ 4 cited

Evaluating proxy influence in assimilated paleoclimate reconstructions -- Testing the exchangeability of two ensembles of spatial processes

Trevor Harris, Bo Li, Nathan Steiger +3

Climate field reconstructions (CFR) attempt to estimate spatiotemporal fields of climate variables in the past using climate proxies such as tree rings, ice cores, and corals. Data…

stat.ME2019★ 28 cited

Elastic depths for detecting shape anomalies in functional data

Trevor Harris, James Derek Tucker, Bo Li +1

We propose a new family of depth measures called the elastic depths that can be used to greatly improve shape anomaly detection in functional data. Shape anomalies are functions th…