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Titel:

Testing Many and Possibly Singular Polynomial Constraints

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Sturma, Nils; Drton, Mathias; Leung, Dennis
Abstract:
We consider the problem of testing a null hypothesis defined by polynomial equality and inequality constraints on a statistical parameter. Testing such hypotheses can be challenging because the number of relevant constraints may be on the same order or even larger than the number of observed samples. Moreover, standard distributional approximations may be invalid due to singularities in the null hypothesis. We propose a general testing methodology that aims to circumvent these difficulties. The...     »
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
Preprint
Jahr:
2022
Sprache:
en
Volltext / DOI:
doi:10.48550/ARXIV.2208.11756
Verlag / Institution:
arXiv
Status:
Preprint / submitted
Publikationsdatum:
24.08.2022
Semester:
SS 22
TUM Einrichtung:
Lehrstuhl für Mathematische Statistik
Format:
Text
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