Search Results for author:
Found 4 papers, 1 papers with code
Bayesian estimation of finite mixtures of Tobit models
This paper outlines a Bayesian approach to estimate finite mixtures of Tobit models.
Multi-cell experiments for marginal treatment effect estimation of digital ads
Randomized experiments with treatment and control groups are an important tool to measure the impacts of interventions.
Online Causal Inference for Advertising in Real-Time Bidding Auctions
Leveraging the economic structure of first- and second-price auctions, we first show that the effects of advertising are identified by the optimal bids.
Parallel Experimentation and Competitive Interference on Online Advertising Platforms
This paper studies the measurement of advertising effects on online platforms when parallel experimentation occurs, that is, when multiple advertisers experiment concurrently.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
