umass

Causal inference in network experiments: regression-based analysis and design-based properties

Investigating interference or spillover effects among units is a central task in many social science problems. Network experiments are powerful tools for this task, which avoids endogeneity by ...
CU Boulder News & Events

Causal inference under selection on observables in operations management research: Matching methods and synthetic controls

The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
Stanford Daily

Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

Daniel E. Ho, Kosuke Imai, Gary King, and Elizabeth A. Stuart, Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference, 15 Political Analysis 199 (2007).
techtimes

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

Every large language model begins as a question of proportion. How much web text? How much code? How much scientific literature? The ratio of training data across these domains — what researchers call ...
CU Boulder News & Events

Causal inference under selection on observables in operations management research: Matching methods and synthetic controls

Yılmaz, Övünç; Son, Yoonseock; Shang, Guangzhi; Arslan, Hayri A. Causal inference under selection on observables in operations management research: Matching methods and synthetic controls. Journal of ...