Consumers transfer brand-level regularities across contexts using low-D boundedly rational meta-learning approximations that fit choice data better than no-transfer or fully integrated Bayesian benchmarks.
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4 Pith papers cite this work. Polarity classification is still indexing.
years
2026 4verdicts
UNVERDICTED 4representative citing papers
A novel spatially dependent shrinkage prior for Poisson regression improves region selection and prediction accuracy for count data with spatially correlated covariates.
New expert-informed Bayesian priors and elicitation procedure for inferring single-subject functional connectivity graphs from resting-state fMRI, yielding posterior distributions over edge weights.
Multiple imputations for missing data in SHARELIFE Waves 3 and 7 were generated via fully conditional specification, with validity assessed against observed values, inverse propensity weighting, and external SHARE benchmarks.
citing papers explorer
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Boundedly Rational Meta-Learning in Sequential Consumer Choice
Consumers transfer brand-level regularities across contexts using low-D boundedly rational meta-learning approximations that fit choice data better than no-transfer or fully integrated Bayesian benchmarks.
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Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
A novel spatially dependent shrinkage prior for Poisson regression improves region selection and prediction accuracy for count data with spatially correlated covariates.
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Prior elicitation for Bayesian estimation of single-subject connectivity networks
New expert-informed Bayesian priors and elicitation procedure for inferring single-subject functional connectivity graphs from resting-state fMRI, yielding posterior distributions over edge weights.
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SHARELIFE Imputations
Multiple imputations for missing data in SHARELIFE Waves 3 and 7 were generated via fully conditional specification, with validity assessed against observed values, inverse propensity weighting, and external SHARE benchmarks.