Search Results for author: Navdeep S. Sahni

Found 2 papers, 1 papers with code

Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash

no code implementations10 Nov 2023 Yixin Tang, Yicong Lin, Navdeep S. Sahni

This paper investigates an approach to both speed up business decision-making and lower the cost of learning through experimentation by factorizing business policies and employing fractional factorial experimental designs for their evaluation.

Decision Making

Parallel Experimentation and Competitive Interference on Online Advertising Platforms

1 code implementation27 Mar 2019 Caio Waisman, Navdeep S. Sahni, Harikesh S. Nair, Xiliang Lin

This paper studies the measurement of advertising effects on online platforms when parallel experimentation occurs, that is, when multiple advertisers experiment concurrently.

Decision Making Experimental Design

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