English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data

MPS-Authors
/persons/resource/persons182752

Macke,  Jakob H.
Max Planck Research Group Neural Systems Analysis, Center of Advanced European Studies and Research (caesar), Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Schütt_Painfree.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Schütt, H. H., Harmeling, S., Macke, J. H., & Wichmann, F. A. (2016). Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research, 122, 105-123.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002A-2903-B
Abstract
There is no abstract available