Bayesian inference for an adaptive ordered probit model: an application to brain computer interfacing

DOI10.1016/j.neunet.2011.03.019zbMath1398.92049OpenAlexW2163067828WikidataQ51578903 ScholiaQ51578903MaRDI QIDQ1952555

Mathew Dyson, John Q. Gan, Stephen J. Roberts, Ji Won Yoon

Publication date: 31 May 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2011.03.019

zbMATH Keywords

extended Kalman filtersequential decisionsordered probit modelbrain computer interfacingmulti-class classifier

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Neural biology (92C20) Distributed algorithms (68W15) Software, source code, etc. for problems pertaining to biology (92-04)

Uses Software

• PRMLT

Cites Work

• Unnamed Item
• Unnamed Item
• Bayesian analysis of the ordered probit model with endogenous selection
• Time series of count data: Modeling, estimation and diagnostics
• Sequential non-stationary dynamic classification with sparse feedback
• Hidden Markov models for online classification of single trial EEG data
• THE GENERALIZATION OF PROBIT ANALYSIS TO THE CASE OF MULTIPLE RESPONSES
• Efficient Estimation of Ordered Probit Models
• Specification tests in ordered logit and probit models
• Bayesian Analysis of Binary and Polychotomous Response Data
• Analysis of single Gaussian approximation of Gaussian mixtures in Bayesian filtering applied to mixed multiple-model estimation