Bivariate cumulative probit model for the comparison of neuronal encoding hypotheses

DOI10.1002/bimj.201200161zbMath1279.62215OpenAlexW2108954082WikidataQ51145663 ScholiaQ51145663MaRDI QIDQ2874291

León M. Juárez Paz, Lena Koepcke, Jutta Kretzberg, J. Hillmann, Thomas Kneib

Publication date: 29 January 2014

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201200161

zbMATH Keywords

latent variablescomputational neuroscienceMCMCP-splinesstimulus reconstruction

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Neural biology (92C20)

Related Items (1)

Semi-parametric bivariate polychotomous ordinal regression

Uses Software

• GMRFLib

Cites Work

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• Generalized structured additive regression based on Bayesian P-splines
• A latent variable regression model for asymmetric bivariate ordered categorical data
• The Bayesian Lasso
• Bayesian Analysis of Binary and Polychotomous Response Data
• Random forests

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