Semiparametric Bayes hierarchical models with mean and variance
... substitution likelihood (Lavine, 1996). Li et. al. (2007) proposed an approach to correct for bias in generalized linear mixed models with a DP prior on the random effects distribution. Their approach relies on post-processing of the samples from an MCMC algorithm. In contrast to the literature on s ...
... substitution likelihood (Lavine, 1996). Li et. al. (2007) proposed an approach to correct for bias in generalized linear mixed models with a DP prior on the random effects distribution. Their approach relies on post-processing of the samples from an MCMC algorithm. In contrast to the literature on s ...
ST_PP_18_SamplingDisributionsModels
... • The standard deviation of the sampling distribution declines only with the square root of the sample size (the denominator contains the square root of n). • Therefore, the variability decreases as the sample size increases. • While we’d always like a larger sample, the square root limits how much ...
... • The standard deviation of the sampling distribution declines only with the square root of the sample size (the denominator contains the square root of n). • Therefore, the variability decreases as the sample size increases. • While we’d always like a larger sample, the square root limits how much ...
State-Observation Sampling and the Econometrics of Learning Models
... the state of nature Mt has an infinite support, a full-information economy with discretized Mt can be used. Given these properties, we define the auxiliary estimator by expanding the full-information economy’s maximum likelihood estimator with a set of statistics that the incomplete-information mode ...
... the state of nature Mt has an infinite support, a full-information economy with discretized Mt can be used. Given these properties, we define the auxiliary estimator by expanding the full-information economy’s maximum likelihood estimator with a set of statistics that the incomplete-information mode ...