ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.04692
  4. Cited By
Bias and high-dimensional adjustment in observational studies of peer
  effects

Bias and high-dimensional adjustment in observational studies of peer effects

14 June 2017
Dean Eckles
E. Bakshy
ArXivPDFHTML

Papers citing "Bias and high-dimensional adjustment in observational studies of peer effects"

4 / 4 papers shown
Title
Treatment Effect Estimation with Observational Network Data using Machine Learning
Treatment Effect Estimation with Observational Network Data using Machine Learning
Corinne Emmenegger
Meta-Lina Spohn
Timon Elmer
Peter Buhlmann
CML
60
3
1
20 Jan 2025
Emoji Promotes Developer Participation and Issue Resolution on GitHub
Emoji Promotes Developer Participation and Issue Resolution on GitHub
Yuhang Zhou
Xuan Lu
Ge Gao
Qiaozhu Mei
Wei Ai
30
3
0
30 Aug 2023
Effects of Algorithmic Trend Promotion: Evidence from Coordinated
  Campaigns in Twitter's Trending Topics
Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter's Trending Topics
J. Schlessinger
Venkata Rama Kiran Garimella
Maurice Jakesch
Dean Eckles
24
2
0
08 Apr 2023
Estimating Social Influence from Observational Data
Estimating Social Influence from Observational Data
Dhanya Sridhar
Caterina De Bacco
David M. Blei
16
3
0
24 Mar 2022
1