Traum, and T. B. Walker (2015): "Clearing Up the Fiscal Mul- tiplier Morass: Prior and Posterior Analysis," NBER Working Papers 21433, National Bureau of Economic Research, Inc.Leeper, E. M., N. Traum, and T. B. Walker (2011): "Clearing Up the Fiscal Multiplier Morass,"NBER ...
(1980a), "Some Prior and Posterior Distributions in Survival Analysis", Journal of the Royal Statistical Society, series B, No. 1, pp. 96-106.Elandt-Johnson, R.C., 1980. Some Prior Distributions In survival Analysis: A Critical Insight On Relationship Derived From Cross-Sectional Data. J...
1.Using the Bayes’s theory about a estimate,the article researches the problem of probability change points,then gives a concrete priori distribution and posterior distribution,as well as gives a judge to the existence of probability change points.利用Bayes估计理论,研究概率变点问题,给出变点的一个...
Jeffreys' prior是一类特殊的无信息先验。首先需要明白Jeffreys提出该方法前的指导原则：一个先验p(θ)应...
Jeffreys prior 是一种objective prior或者 noninformative prior。最早的objective prior就是一个常数，或者...
We establish the first prior-dependent Bayesian regret bound for RL with function approximation; and refine the Bayesian regret analysis for posterior sampling reinforcement learning (PSRL), presenting an upper bound of ${\mathcal{O}}(d\sqrt{H^3 T \log T})$, where $d$ represents the ...
The divergence measure used in our model check is a measure of how much beliefs have changed from prior to posterior, and can be thought of as a measure of the overall size of a relative belief function. It is shown that the proposed method is intuitive, has desirable properties, can be...
5) Prior and posterior distribution 先验与后验分布6) Experience,Learning through Experience and Literature 经验、体验与文学补充资料:先验的和超验的 西方的宗教或唯心主义哲学的一般术语。欧洲中世纪经院哲学就已使用过,I.康德第一次把这两个术语作了区分。在康德哲学中,这两个术语是不能相互替换的。所谓"...
(Statistics)statisticsthe probability assigned to a parameter or to an event in advance of any empirical evidence, often subjectively or on the assumption of the principle of indifference. Compareposterior probability Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperColl...
When we say this prior is "weakly informative," what we mean is that, if there's a reasonably large amount of data, the likelihood will dominate, and the prior will not be important. If the data are weak, though, this "weakly informative prior" will strongly influence the posterior infer...