JASA Oct 20, 2026

A Spatial Interference Approach to Account for Mobility in Air Pollution Studies with Multivariate Continuous Treatments

Authors
Heejun Shin Danielle Braun Kezia Irene Michelle Audirac Joseph Antonelli
Research Topics
Machine Learning
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2026.2743983
  • Published:
    October 20, 2026
  • Added to Tracker:
    Oct 21, 2026
Author Details
Heejun Shin
Author
Danielle Braun
Author
Kezia Irene
Author
Michelle Audirac
Author
Joseph Antonelli
Author
Research Topics & Keywords
Machine Learning
Research Area
Citation Information
APA Format
Heejun Shin , Danielle Braun , Kezia Irene , Michelle Audirac & Joseph Antonelli (2026) . A Spatial Interference Approach to Account for Mobility in Air Pollution Studies with Multivariate Continuous Treatments. Journal of the American Statistical Association , 10.1080/01621459.2026.2743983.
BibTeX Format
@article{paper1752,
  title = { A Spatial Interference Approach to Account for Mobility in Air Pollution Studies with Multivariate Continuous Treatments },
  author = { Heejun Shin and Danielle Braun and Kezia Irene and Michelle Audirac and Joseph Antonelli },
  journal = { Journal of the American Statistical Association },
  year = { 2026 },
  doi = { 10.1080/01621459.2026.2743983 },
  url = { https://doi.org/10.1080/01621459.2026.2743983 }
}
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