normal-normal modelThe problem of statistical selection of a population with the largest mean value is considered. We introduce a sequential selection procedure, which we call first-crossing look-ahead (FCLA), for a normal-normal Bayesian setting of the problem, where variances of the populations ...
A Bayesian log-normal model for multivariate loss reserving,’’ Peng Shi, Sanjib Basu, and Glenn G. Meyers, March 2012 [discussion of MR2911697]. Mario V. Wüthrich. N. Am. Actuar. J . 2012Shi, P., Basu, S., and Meyers, G. (2012). A Bayesian Log-normal Model for Multivariate...
Bayesian model calibration has the advantage to quantify parameter uncertainty and to provide an estimation of model evidence for model class selection. The two formulations are evaluated when applied to a numerical cantilever beam with geometrical nonlinearity. The NNMs of the beam are derived from ...
SMR (Standardized Mortality/Morbidity Ratio) model, and Bayesian approach, i.e. Poisson-Gamma and Log-normal models. Based on the implementation on the data of health insurance holders and the number of dengue cases in Bandung in 2013 and 2014 and the analysis of the results, it can be ...
[英 [ˈnɔ:ml] 美 [ˈnɔ:rml] ] normal的意思、解释 复数形式:normals; normal 基本解释 形容词正常的; 正规的,标准的; [数学]正交的; 精神健全的 名词标准; 正常,常态; [数学]法线 normal的意思 normal 同义词 normal 形容词regularstandardaveragetypicalusualordinarycharacteristic ...
2e, f). Cumulatively, we concluded that the log-normal distribution is an attractive probabilistic distribution to model the gene expression variability of each cell type. Overview of BLADE: Bayesian Log-normal Deconvolution We constructed a Bayesian Log-normal Deconvolution method, BLADE, by ...
Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data. J. Am. Stat. Assoc 2011, 106, 959–971. [Google Scholar] McGrory, C.; Titterington, D.; Reeves, R.; Pettitt, A.N. Variational Bayes for estimating the parameters of a hidden Potts model. Stat....
Figure 3. Constant C for the acceptance-rejection method to draw values from FPN model: (a) way 1 and (b) way 2. 4.3. A Metropolis-Hastings Algorithm The Metropolis–Hastings algorithm is used extensively in a Bayesian context, because it allows values to be drawn from a given pdf, as...
Bayesian lower bounds on reliability for the lognormal model: W. J. Padgett and L. J. Wel. IEEE Trans. Reliab.R-27, (2) 161 (June 1978)Bayesian lower bounds on reliability for the lognormal model: W. J. Padgett and L. J. Wel. IEEE Trans. Reliab.R-27, (2) 161 (June 1978)...
Uncertainty estimates by Bayesian method with likelihood of AR (1) & Normal model and AR (1) & Multi-normal model in different time-scales hydrological models. Journal of Hydrology 406, 54-65.Li, L., Xu, C.-Y., Xia, J., Engeland, K., Reggiani, P., 2011. Uncertainty estimates by...