A method for efficiently sampling from distributions with correlated dimensions.
about
Speeded saccadic and manual visuo-motor decisions: Distinct processes but same principlesBrain and behavior in decision-makingA Bayesian framework for simultaneously modeling neural and behavioral data.When the brain takes a break: a model-based analysis of mind wandering.Intertemporal choice as discounted value accumulation.Fusiform Gyrus Dysfunction is Associated with Perceptual Processing Efficiency to Emotional Faces in Adolescent Depression: A Model-Based Approach.Evaluating the consequences of impaired monitoring of learned behavior in attention-deficit/hyperactivity disorder using a Bayesian hierarchical model of choice response time.A new framework for modeling decisions about changing information: The Piecewise Linear Ballistic Accumulator model.A generalized, likelihood-free method for posterior estimation.Using Decision Models to Enhance Investigations of Individual Differences in Cognitive Neuroscience.Bayesian analysis of the piecewise diffusion decision model.Bayes factors for the linear ballistic accumulator model of decision-making.The dynamics of multimodal integration: The averaging diffusion model.Bayesian inference with Stan: A tutorial on adding custom distributions.A generative joint model for spike trains and saccades during perceptual decision-making.The neural basis of value accumulation in intertemporal choice.Likelihood-free Bayesian analysis of memory models.Bayesian inference for psychology, part III: Parameter estimation in nonstandard models.How race affects evidence accumulation during the decision to shoot.Need for closure is associated with urgency in perceptual decision-making.Kinetics of PTEN-mediated PI(3,4,5)P3 hydrolysis on solid supported membranes.Using Bayesian regression to test hypotheses about relationships between parameters and covariates in cognitive models.People adopt optimal policies in simple decision-making, after practice and guidance.Norm compliance affects perceptual decisions through modulation of a starting point bias.A simple introduction to Markov Chain Monte-Carlo sampling.
P2860
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P2860
A method for efficiently sampling from distributions with correlated dimensions.
description
2013 nî lūn-bûn
@nan
2013 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2013年の論文
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2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
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2013年论文
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name
A method for efficiently sampling from distributions with correlated dimensions.
@ast
A method for efficiently sampling from distributions with correlated dimensions.
@en
A method for efficiently sampling from distributions with correlated dimensions.
@nl
type
label
A method for efficiently sampling from distributions with correlated dimensions.
@ast
A method for efficiently sampling from distributions with correlated dimensions.
@en
A method for efficiently sampling from distributions with correlated dimensions.
@nl
prefLabel
A method for efficiently sampling from distributions with correlated dimensions.
@ast
A method for efficiently sampling from distributions with correlated dimensions.
@en
A method for efficiently sampling from distributions with correlated dimensions.
@nl
P2860
P356
P1476
A method for efficiently sampling from distributions with correlated dimensions
@en
P2093
Brandon M Turner
Per B Sederberg
P2860
P304
P356
10.1037/A0032222
P577
2013-05-06T00:00:00Z