Bayesian Inference of Two-Dimensional Contrast Sensitivity Functions
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Summary
A multi-dimensional Bayesian framework to estimate parameters of the CSF from experimental data obtained by classical sampling significantly improves the accuracy and precision of parameter estimates from usual strategies, and requires about the same number of observations as the novel methods to obtain reliable inferences.
- Type
- preprint
- Published
- 2016-08-01
- Cited by
- 0
- References
- 35
- Access
- Open access
- OpenAlex
- https://openalex.org/W2505726097
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:89503682
Keywords
Bayesian probability, Contrast (vision), Bayesian inference, Sensitivity (control systems), Computer science
References
- Information Theory: 1948-1998 - Guest Editorial
- Comparing the Shape of Contrast Sensitivity Functions for Normal and Low Vision
- Measuring contrast sensitivity
- Bayesian adaptive estimation of psychometric slope and threshold.
- qCSF in clinical application: efficient characterization and classification of contrast sensitivity functions in amblyopia.
- Bayesian adaptive estimation: The next dimension
- Mechanisms of recovery of visual function in adult amblyopia through a tailored action video game
- Residual vision in humans who have been monocularly deprived of pattern stimulation in early life
- Measuring, estimating, and understanding the psychometric function: A commentary
- Visual Function Endpoints to Enable Dry AMD Clinical Trials
- The psi-marginal adaptive method: How to give nuisance parameters the attention they deserve (no more, no less).
- Broad bandwidth of perceptual learning in the visual system of adults with anisometropic amblyopia
- Bayesian adaptive estimation of the contrast sensitivity function: The quick CSF method
- The psychometric function: I. Fitting, sampling, and goodness of fit
- A comparison of adaptive psychometric procedures based on the theory of optimal experiments and Bayesian techniques: Implications for cochlear implant testing
- Quest: A Bayesian adaptive psychometric method
- A MATLAB toolbox for the efficient estimation of the psychometric function using the updated maximum-likelihood adaptive procedure
- Analysis of the development of spatial contrast sensitivity in monkey and human infants.
- Invariance of the slope of the psychometric function with spatial summation.
- Development and evaluation of a contrast sensitivity perimetry test for patients with glaucoma.
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