The extended Ville's inequality for nonintegrable nonnegative supermartingales

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Wang, Hongjian, Ramdas, Aaditya
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866909340549513216
author Wang, Hongjian
Ramdas, Aaditya
author_facet Wang, Hongjian
Ramdas, Aaditya
contents Following the initial work by Robbins, we rigorously present an extended theory of nonnegative supermartingales, requiring neither integrability nor finiteness. In particular, we derive a key maximal inequality foreshadowed by Robbins, which we call the extended Ville's inequality, that strengthens the classical Ville's inequality (for integrable nonnegative supermartingales), and also applies to our nonintegrable setting. We derive an extension of the method of mixtures, which applies to $σ$-finite mixtures of our extended nonnegative supermartingales. We present some implications of our theory for sequential statistics, such as the use of improper mixtures (priors) in deriving nonparametric confidence sequences and (extended) e-processes.
format Preprint
id arxiv_https___arxiv_org_abs_2304_01163
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The extended Ville's inequality for nonintegrable nonnegative supermartingales
Wang, Hongjian
Ramdas, Aaditya
Probability
Statistics Theory
Methodology
Machine Learning
Following the initial work by Robbins, we rigorously present an extended theory of nonnegative supermartingales, requiring neither integrability nor finiteness. In particular, we derive a key maximal inequality foreshadowed by Robbins, which we call the extended Ville's inequality, that strengthens the classical Ville's inequality (for integrable nonnegative supermartingales), and also applies to our nonintegrable setting. We derive an extension of the method of mixtures, which applies to $σ$-finite mixtures of our extended nonnegative supermartingales. We present some implications of our theory for sequential statistics, such as the use of improper mixtures (priors) in deriving nonparametric confidence sequences and (extended) e-processes.
title The extended Ville's inequality for nonintegrable nonnegative supermartingales
topic Probability
Statistics Theory
Methodology
Machine Learning
url https://arxiv.org/abs/2304.01163