Efficient Robbins–Monro procedure for multivariate binary data

DOI10.1080/24754269.2018.1507384OpenAlexW2886108818WikidataQ129397128 ScholiaQ129397128MaRDI QIDQ5879971

Jin Xu, Cui Xiong

Publication date: 7 March 2023

Published in: Statistical Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/24754269.2018.1507384

zbMATH Keywords

quantile estimationRobbins-Monro procedurebinary responsesequential design

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

A Bayesian stochastic approximation method

Uses Software

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Cites Work

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• Stochastic approximation and modern model-based designs for dose-finding clinical trials
• A Newton-Raphson version of the multivariate Robbins-Monro procedure
• Optimal Bayesian design applied to logistic regression experiments
• Multivariate adaptive stochastic approximation
• Adaptive design and stochastic approximation
• A stochastic Newton-Raphson method
• Three-phase optimal design of sensitivity experiments
• Discussion of: ``Three-phase optimal design of sensitivity experiments
• The Skew-Normal and Related Families
• Efficient Robbins-Monro procedure for binary data
• Sequential Experimental Designs for Generalized Linear Models
• Efficient Sequential Designs With Binary Data
• Multivariate T-Distributions and Their Applications
• Nonlinear Experiments: Optimal Design and Inference Based on Likelihood
• Asymptotic Distribution of Stochastic Approximation Procedures
• A Stochastic Approximation Method
• On a Stochastic Approximation Method

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