(2011). Bayesian semiparametric regression . USA: Princeton University (unpublished manuscript).Norets A, Pelenis J (2011) Bayesian semiparametric regression. Unpublished manuscript, Princeton UnivPelenis, J (2012) Bayesian Semiparametric Regression. Institute for Advanced Studies, Vienna 1-39....
Statistical models and methods that associate changes in the physicochemical properties of amino acids with natural selection at the molecular level typically do not take into account the correlations between such properties. We propose a Bayesian hierarchical regression model with a generalization of the...
We consider Bayesian nonparametric regression through random partition models. Our approach involves the construction of a covariate-dependent prior distribution on partitions of individuals. Our goal is to use covariate information to improve predictive inference. To do so, we propose a prior on ...
5.Dynamic Linear Regression Modeling and Real-time Prediction Based on Bayesian Network and Neural Network;基于贝叶斯-神经网络的动态回归建模与预测 6.Bayesian Inference for Semiparametric Regression of Ordinal Response Data有序属性响应半参数回归模型的贝叶斯分析 7.Application of Bayesian Method to Modelling...
We consider Bayesian nonparametric regression through random partition models. Our approach involves the construction of a covariate-dependent prior distribution on partitions of individuals. Our goal is to use covariate information to improve predictive inference. To do so, we propose a prior on ...
A Bayesian Semiparametric Quantile Regression Model for Longitudinal Data with Application to Insurance Company CostsBayesian quantile regressionAsymmetric Laplace distributionSingleindexDirichlet processSplineClusteringLongitudinal dataThis article examines the average cost function for property and casualty insurers. ...
Frequentism跟Bayesian的最大区别在于prior. 对于Frequentist来说，一切的devil来源于这个prior，因为他们觉得...
我的看法是，两者认识世界的角度就不一样。frequentist认为真实的parameter本存在，通过data去寻找真理。
Empirical likelihood for semiparametric regression models with missing reponses Based on the semiparametric regression model with random missing response data,we construct the empirical log-likelihood ratio statistic for the unknown pa... L Xue,X Dong - Academic Press, Inc. 被引量: 55发表: 2011年 ...
Bayesian semiparametric modeling of survival data based on mixtures of B -spline distributions The nonparametric part of a semiparametric regression model usually involves prior specification for an infinite-dimensional parameter F F mathContainer Lo... Bo Cai a,Renate Meyer b - 《Computational Statistic...