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pro vyhledávání: '"Mcqueen, James"'
Autor:
Masoero, Lorenzo, Vijaykumar, Suhas, Richardson, Thomas, McQueen, James, Rosen, Ido, Burdick, Brian, Bajari, Pat, Imbens, Guido
Classical designs of randomized experiments, going back to Fisher and Neyman in the 1930s still dominate practice even in online experimentation. However, such designs are of limited value for answering standard questions in settings, common in marke
Externí odkaz:
http://arxiv.org/abs/2401.01264
The selection of the assumed effect size (AES) critically determines the duration of an experiment, and hence its accuracy and efficiency. Traditionally, experimenters determine AES based on domain knowledge. However, this method becomes impractical
Externí odkaz:
http://arxiv.org/abs/2312.12871
Autor:
Abadie, Alberto, Agarwal, Anish, Imbens, Guido, Jia, Siwei, McQueen, James, Stepaniants, Serguei
Business/policy decisions are often based on evidence from randomized experiments and observational studies. In this article we propose an empirical framework to estimate the value of evidence-based decision making (EBDM) and the return on the invest
Externí odkaz:
http://arxiv.org/abs/2306.13681
Publikováno v:
2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision
Companies offering web services routinely run randomized online experiments to estimate the causal impact associated with the adoption of new features and policies on key performance metrics of interest. These experiments are used to estimate a varie
Externí odkaz:
http://arxiv.org/abs/2305.01109
With the growing needs of online A/B testing to support the innovation in industry, the opportunity cost of running an experiment becomes non-negligible. Therefore, there is an increasing demand for an efficient continuous monitoring service that all
Externí odkaz:
http://arxiv.org/abs/2304.00420
Autor:
Bajari, Patrick, Burdick, Brian, Imbens, Guido W., Masoero, Lorenzo, McQueen, James, Richardson, Thomas, Rosen, Ido M.
In this study we introduce a new class of experimental designs. In a classical randomized controlled trial (RCT), or A/B test, a randomly selected subset of a population of units (e.g., individuals, plots of land, or experiences) is assigned to a tre
Externí odkaz:
http://arxiv.org/abs/2112.13495
In many contexts it is useful to predict the number of individuals in some population who will initiate a particular activity during a given period. For example, the number of users who will install a software update, the number of customers who will
Externí odkaz:
http://arxiv.org/abs/2111.12157
Publikováno v:
In Journal of Phonetics March 2024 103
Large-scale randomized experiments, sometimes called A/B tests, are increasingly prevalent in many industries. Though such experiments are often analyzed via frequentist $t$-tests, arguably such analyses are deficient: $p$-values are hard to interpre
Externí odkaz:
http://arxiv.org/abs/2002.02564
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