ZüKoSt Zürcher Kolloquium über Statistik

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Herbstsemester 2023

Datum / Zeit Referent:in Titel Ort
27. Oktober 2023
15:15-16:15
Johanna Ziegel
University of Bern
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ZüKoSt Zürcher Kolloquium über Statistik

Titel Sequential alternatives to the t-test
Referent:in, Affiliation Johanna Ziegel, University of Bern
Datum, Zeit 27. Oktober 2023, 15:15-16:15
Ort 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
HG G 19.1
15. Dezember 2023
15:15-16:15
Sylvain Robert
Google
Details

ZüKoSt Zürcher Kolloquium über Statistik

Titel Dealing with contamination in geo-experiments
Referent:in, Affiliation Sylvain Robert, Google
Datum, Zeit 15. Dezember 2023, 15:15-16:15
Ort 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
HG G 19.1

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