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Wen-Ting Wang

4 papers hereh-index 229 citations5 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME4
same name
  • Wen-Ting Wang — 7 papers, h 2
  • Wen-Ting Wang — 2 papers, h 0
  • Wen-Ting Wang — 2 papers, h 3
  • Wen-Ting Wang — 2 papers, h 5
  • Wen-Ting Wang — 1 paper, h 0
  • Wen-Ting Wang — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedRegularized Principal Component Analysis for Spatial Data

24 citations · 24 across the 4 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2026

Cluster-Aware Conformal Calibration for Spatio-Temporal Distributional Prediction

Gooyoung Kim, Chae Young Lim, Wen-Ting Wang +2

DeepKriging-style models, such as Spatio-Temporal DeepKriging, improve scalability through basis-function embeddings and stochastic gradient learning; however, fixed regular-grid s…

stat.ME2026

DeepKriging on the global Data

Hao-Yun Huang, Wen-Ting Wang, Ping-Hsun Chiang +1

The increasing availability of large-scale global datasets has generated a demand for scalable spatial prediction methods defined on spherical domains. Classical spatial models tha…

stat.ME2017

Regularized Spatial Maximum Covariance Analysis

Wen-Ting Wang, Hsin-Cheng Huang

In climate and atmospheric research, many phenomena involve more than one meteorological spatial processes covarying in space. To understand how one process is affected by another,…

stat.ME2015★ 24 cited

Regularized Principal Component Analysis for Spatial Data

Wen-Ting Wang, Hsin-Cheng Huang

In many atmospheric and earth sciences, it is of interest to identify dominant spatial patterns of variation based on data observed at p locations and n time points with the po…

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