Li, Li, and Dai's Contribution to the Discussion of "Estimating Means of Bounded Random Variables by Betting" by Waudby-Smith and Aaditya Ramdas

06/06/2023
by   Yijia Li, et al.
0

We congratulate Waudby-Smith and Ramdas for their interesting paper <cit.> in generating confidence intervals and time-uniform confidence sequences for mean estimation with bounded observations. Their methodology utilizes composite nonnegative martingales and establishes a connection to game-theoretic probability. Our comments will focus on numerical comparisons with alternative methods.

READ FULL TEXT
research
02/17/2022

Locally private nonparametric confidence intervals and sequences

This work derives methods for performing nonparametric, nonasymptotic st...
research
10/19/2020

Variance-adaptive confidence sequences by betting

This paper derives confidence intervals (CI) and time-uniform confidence...
research
06/09/2020

Near-Optimal Confidence Sequences for Bounded Random Variables

Many inference problems, such as sequential decision problems like A/B t...
research
07/24/2020

A (tight) upper bound for the length of confidence intervals with conditional coverage

Kivaranovic and Leeb (2020) showed that confidence intervals based on a ...
research
02/27/2023

Design-Based Inference for Multi-arm Bandits

Multi-arm bandits are gaining popularity as they enable real-world seque...
research
09/07/2020

Admissible anytime-valid sequential inference must rely on nonnegative martingales

Wald's anytime-valid p-values and Robbins' confidence sequences enable s...
research
10/04/2022

Game-theoretic statistics and safe anytime-valid inference

Safe anytime-valid inference (SAVI) provides measures of statistical evi...

Please sign up or login with your details

Forgot password? Click here to reset