Skip to content

Cyrus Samii

  • Home
  • RSS
  • Affiliations & Bio
  • CV & Research
  • Teaching
Posted on January 13, 2020January 13, 2020 by Cyrus

Random forests as kernel estimators

As per Athey et al. (2019, Annals of Statistics), random forests can be interpreted as kernel estimators. If you haven’t seen this before, here is a toy example: .html

Share

Post navigation

Previous PostPrevious Conformal inference tutorial
Next PostNext Spillover effects in experimental data: review essay and R package

Instructional

  • Advice for prospective PhD students
  • Meetings & Appointments
  • Quantitative Methods research at NYU Politics
  • Summer funding for NYU Politics PhD students
  • [2025 Spring] POLS GA 1251 Quant II
  • [x2023 Fall] POLS GA 3200 Quant Field Methods
  • [x2024 Spring] POLS GA 1251 Quant II

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org

Instructional

  • Advice for prospective PhD students
  • Meetings & Appointments
  • Quantitative Methods research at NYU Politics
  • Summer funding for NYU Politics PhD students
  • [2025 Spring] POLS GA 1251 Quant II
  • [x2023 Fall] POLS GA 3200 Quant Field Methods
  • [x2024 Spring] POLS GA 1251 Quant II

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
Proudly powered by WordPress