Maximizing the probability of attaining a target prior to extinction [PDF]
Nonlinear Analysis: Hybrid Systems, 2011 22 pages, 1 figure ...
Debasish Chatterjee +2 more
core +9 more sources
Bias in the brain: a diffusion model analysis of prior probability and potential payoff. [PDF]
J Neurosci, 2012 In perceptual decision-making, advance knowledge biases people toward choice alternatives that are more likely to be correct and more likely to be profitable.
Mulder MJ +4 more
europepmc +2 more sources
Elapsed decision time affects the weighting of prior probability in a perceptual decision task. [PDF]
J Neurosci, 2011 Decisions are often based on a combination of new evidence with prior knowledge of the probable best choice. Optimal combination requires knowledge about the reliability of evidence, but in many realistic situations, this is unknown.
Hanks TD +4 more
europepmc +2 more sources
Reconstructing the Prior Probabilities of Allelic Phylogenies [PDF]
Genetics, 2002 Abstract In general when a phylogeny is reconstructed from DNA or protein sequence data, it makes use only of the probabilities of obtaining some phylogeny given a collection of data. It is also possible to determine the prior probabilities of different phylogenies.
G. Brian Golding
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On Bernoulli Experiments with Imprecise Prior Probabilities [PDF]
The Statistician, 1994 This paper deals with a situation where the prior distribution in a Bayesian treatment of a Bernoulli experiment is not known precisely. Imprecision for Bernoulli experiments is discussed for the case where the prior densities are defined in the form of intervals of measures, and a simple model with conjugate imprecise prior densities is used for ease ...
Frank P. A. Coolen
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Quantization of Prior Probabilities for Hypothesis Testing [PDF]
IEEE Transactions on Signal Processing, 2008 Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, are quantized. Nearest neighbor and centroid conditions are derived using mean Bayes risk error as a distortion measure for quantization. A high-resolution approximation to the distortion-rate function is also obtained.
Kush R. Varshney, Lav R. Varshney
openalex +3 more sources
Prior probability cues bias sensory encoding with increasing task exposure [PDF]
eLifeWhen observers have prior knowledge about the likely outcome of their perceptual decisions, they exhibit robust behavioural biases in reaction time and choice accuracy.
Kevin Walsh +4 more
doaj +2 more sources
Human online adaptation to changes in prior probability
bioRxiv, 2018 Optimal sensory decision-making requires the combination of uncertain sensory signals with prior expectations. The effect of prior probability is often described as a shift in the decision criterion. Can observers track sudden changes in probability?
Elyse H. Norton +3 more
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Prior probability and feature predictability interactively bias perceptual decisions. [PDF]
Neuropsychologia, 2014 Dunovan KE, Tremel JJ, Wheeler ME.
europepmc +2 more sources
Prior probability modulates anticipatory activity in category-specific areas [PDF]
Cognitive, Affective, & Behavioral Neuroscience, 2015 Sabrina Trapp +3 more
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