Document Detail


Bayesian parameter estimation in adaptive psychometric procedures: Simulated and experimental results.
MedLine Citation:
PMID:  20331064     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
The wide use of psychometric assessments and the associated time required to conduct such experiments have motivated a substantial research effort focused on developing more efficient psychometric procedures to expedite the estimation of parameters of interest. Adaptive step size psychometric procedures, which have increasingly received attention as an alternative to fixed step size procedures, can be viewed as having two separate stages: estimation of the parameters of interest based on the available data and a selection of the experimental settings in order to maximize the information obtained from the next trial. Psychometric procedures that utilize a Bayesian framework for parameter estimation have become more prevalent in recent years. In this talk, we will present experimental results for Bayesian psychometric procedures from both psychoacoustics studies and computer simulations. Several computer simulations explored the sensitivity of the procedure to different model parametrizations and evaluated performance using stimulus selection rules based on minimizing entropy and maximizing information gain. Psychoacoustic studies using two different listening tasks were used to investigate the robustness and stability of estimates provided by the Bayesian parameter estimation procedure. Collectively, the outcomes suggest that a Bayesian framework may be an important component in the development of more efficient psychometric procedures.
Authors:
Jeremiah J Remus; Leslie M Collins
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The Journal of the Acoustical Society of America     Volume:  127     ISSN:  1520-8524     ISO Abbreviation:  J. Acoust. Soc. Am.     Publication Date:  2010 Mar 
Date Detail:
Created Date:  2010-03-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7503051     Medline TA:  J Acoust Soc Am     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1997     Citation Subset:  IM    
Affiliation:
Dept. of Elec. and Comput. Eng., Clarkson Univ., Box 5720, Potsdam, NY, 13699Duke Univ., Durham, NC 27708.
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