Bayesian non-parametric methodsDirichlet processParticle filterCovariance matrix estimationOptimal proposal distributionTarget trackingWhen using Bayesian estimation techniques, the algGrivelUnivEricUnivMagnantUnivClementUnivRattonUnivLaurentUnivJosephUnivBernard...
Benchmark of the non-parametric Bayesian deconvolution method implemented in the SINBAD code for X/γ rays spectra processing. Nuclear Instruments and Methods A. 2016;836:91-97ROHEE, E., et al., "Benchmark of the non-parametric Bayesian deconvolution method implemented in the SINBAD code for ...
My comments are below: 1) The difference between Bayesian and Frequentists is probably not a theoretic contribution. 2) You can always apply the parametric method even if the assumption is not satisfied, if you want. I do agree that non-parametric methods are less restricted, but they tend ...
Bayesian inferenceMarkov chain Monte Carlo methodsQuantile regressionloss reserverisk margincentral estimateWe develop quantile regression models in order to derive risk margin and to evaluate capital in non-life insurance applications. By utilizing the entire range of conditional quantile functions, ...
我来说两句 短评 ··· 热门 还没人写过短评呢 我要写书评 Non-Parametric Bayesian Methods的书评 ··· ( 全部0 条 ) 论坛 ··· 在这本书的论坛里发言 + 加入购书单 谁读这本书? ··· 二手市场 ··· 在豆瓣转让 手里有一本闲着? 订阅关于Non-Parametric Bayesian Methods的评论...
Description: The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Proces...
(PDF 340 kb) Abbreviations AIC: Akaike information criterion; AUPR: Area under the precision-recall curve; AUROC: Area under the receiver operating characteristic curve; BIC: Bayesian information criterion; DREAM: Dialogue on reverse engineering assessment and methods; GP: Gaussian process; GRN: Gene...
英文: Non-Parametric Linkage Analysis Methods中文: 非参数连锁分析 英文: Decision theory, statistical classification, maximum likelihood and Bayesian estimation, non-parametric methods, unsupervised learning and clustering.中文: 决策理论,统计分类,最大似然和贝叶斯估计,非参数方法,非监督的学习与聚类。英文: ...
Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates - cbg-ethz/BnpC
Gaussian processes (GPs) are a fully Bayesian technique, characterizing distributions over functions and serving as an extension of Gaussian distributions into function space [23,27]. This approach allows for the reconstruction of a function, indicated asf(x), using observational data, without requirin...