52 citations · 84 across the 16 of their papers we have counts for
5 papers · 1 filter
Quantifying the Value of Iterative Experimentation
Jialiang Mao, Iavor Bojinov
Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development proce…
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models
Fiammetta Menchetti, Iavor Bojinov
The Florence branch of an Italian supermarket chain recently implemented a strategy that permanently lowered the price of numerous store brands in several product categories. To qu…
Causal inference from observational data: Estimating the effect of contributions on visitation frequency atLinkedIn
Iavor Bojinov, Ye Tu, Min Liu +1
Randomized experiments (A/B testings) have become the standard way for web-facing companies to guide innovation, evaluate new products, and prioritize ideas. There are times, howev…
Diagnosing missing always at random in multivariate data
Iavor Bojinov, Natesh Pillai, Donald Rubin
Models for analyzing multivariate data sets with missing values require strong, often unassessable, assumptions. The most common of these is that the mechanism that created the mis…
Multiple Imputation Using Gaussian Copulas
Florian M. Hollenbach, Iavor Bojinov, Shahryar Minhas +3
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many schol…