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A. Urdangarin

3 papers hereh-index 354 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.AP1
  • stat.ME1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedEvaluating recent methods to overcome spatial confounding

33 citations · 35 across the 2 of their papers we have counts for

collaborators

3 papers

stat.ML2025

STACI: Spatio-Temporal Aleatoric Conformal Inference

Brandon R. Feng, David Keetae Park, Xihaier Luo +3

Fitting Gaussian Processes (GPs) provides interpretable aleatoric uncertainty quantification for estimation of spatio-temporal fields. Spatio-temporal deep learning models, while s…

stat.AP2024★ 2 cited

A fast approach for analyzing spatio-temporal patterns in ischemic heart disease mortality across US counties (1999-2021)

A. Urdangarin, T. Goicoa, P. Congdon +1

Ischaemic heart disease (IHD) remains the primary cause of mortality in the US. This study focuses on using spatio-temporal disease mapping models to explore the temporal trends of…

stat.ME2022★ 33 cited

Evaluating recent methods to overcome spatial confounding

A. Urdangarin, T. Goicoa, M. D. Ugarte

The concept of spatial confounding is closely connected to spatial regression, although no general definition has been established. A generally accepted idea of spatial confounding…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.