ZüKoSt: Seminar on Applied Statistics

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27 October 2023
15:15-16:15

Johanna Ziegel
University of Bern

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Title	Sequential alternatives to the t-test
Speaker, Affiliation	Johanna Ziegel, University of Bern
Date, Time	27 October 2023, 15:15-16:15
Location	HG G 19.1
Abstract	The (asymptotic) t-test is used in many situations. In order to ensure type-I-error guarantees, it is necessary to specify the sample size before the data collection process, and one cannot peek at the data before all data has arrived. However, looking at the data during the data collection process may happen (or may even be desirable). In such cases, a sequential alternative to the t-test is more appropriate since it controls type-I-error even when checking for significance after each new data point that has arrived. Three sequential alternatives to the t-test will be presented and compared in a simulation study.

Sequential alternatives to the t-testread_more

15 December 2023
15:15-16:15

Sylvain Robert
Google

Details

Title	Dealing with contamination in geo-experiments
Speaker, Affiliation	Sylvain Robert, Google
Date, Time	15 December 2023, 15:15-16:15
Location	HG G 19.1
Abstract	Advertisers are interested in measuring the effectiveness of their online marketing campaigns on various platforms. While user-based experiments are efficient and well-understood, they are not always feasible because of technical and legal reasons. Geo-based experiments are an attractive and privacy-centric alternative, where experimental units are defined as geographical regions instead of individual users. One issue with this type of experiments, however, is the presence of contamination (or interference) between units, due to natural movement of people and imprecision in geo-localization. In this work we will try to quantify the amount of contamination in our experiments and propose possible solutions to mitigate its adverse effect, both during the estimation at the end of the expriment and upstream at the design phase.

Dealing with contamination in geo-experimentsread_more

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