Variational Bayes and non-Bayesian Updating
变分贝叶斯与非贝叶斯更新
I show how variational Bayes can be used as a microfoundation for a popular model of non-Bayesian updating.
日期精度:到日 2 篇 · 到月 0 篇 · 到年 0 篇
变分贝叶斯与非贝叶斯更新
I show how variational Bayes can be used as a microfoundation for a popular model of non-Bayesian updating.
漂移扩散模型的检验
The drift diffusion model (DDM) is a model of sequential sampling with diffusion (Brownian) signals, where the decision maker accumulates evidence until the process hits a stopping boundary, and then stops and chooses the alternative that corresponds to that boundary. This model has been widely used in psychology, neuroeconomics, and neuroscience to explain the observed patterns of choice and response times in a range of binary choice decision problems. This paper provides a…