The statistics of optimal decision making: exploring the relationship between signal detection theory and sequential analysis
From MaRDI portal
Publication:2244614
DOI10.1016/j.jmp.2021.102544zbMath1475.91266OpenAlexW3162750348MaRDI QIDQ2244614
Nathan F. Lepora, Thom Griffith, Sophie-Anne Baker
Publication date: 12 November 2021
Published in: Journal of Mathematical Psychology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmp.2021.102544
drift-diffusion modelsignal detection theorysequential probability ratio testROC analysisperceptual decision making
Decision theory (91B06) Psychophysics and psychophysiology; perception (91E30) Applications of statistics to psychology (62P15)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Rapid decision threshold modulation by reward rate in a neural network
- 2-SPRT's and the modified Kiefer-Weiss problem of minimizing an expected sample size
- Optimal strategies for seeking information. Models for statistics, choice reaction times, and human information processing
- Models for choice-reaction time
- The Basal Ganglia Optimize Decision Making over General Perceptual Hypotheses
- IX. On the problem of the most efficient tests of statistical hypotheses
- The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions
- The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
- Optimum Character of the Sequential Probability Ratio Test
- A Sequential Decision Procedure for Choosing One of Three Hypotheses Concerning the Unknown Mean of a Normal Distribution
- Sequential Tests of Statistical Hypotheses
This page was built for publication: The statistics of optimal decision making: exploring the relationship between signal detection theory and sequential analysis