Titlebook: Complex Data Modeling and Computationally Intensive Statistical Methods; Pietro Mantovan,Piercesare Secchi Book 2010 Springer-Verlag Milan

Enkephalin

書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods影響因子(影響力)




書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods影響因子(影響力)學科排名




書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods網絡公開度




書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods網絡公開度學科排名




書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods被引頻次




書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods被引頻次學科排名




書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods年度引用




書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods年度引用學科排名




書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods讀者反饋




書目名稱Complex Data Modeling and Computationally Intensive Statistical Methods讀者反饋學科排名

Offstage

Fast Bayesian functional data analysis of basal body temperature,present an application of the Relevant Vector Machine method that generates sparse functional linear and linear mixed models that can be used to rapidly estimate individual-specific and population average functions.

極深

A parametric Markov chain to model age- and state-dependent wear processes,sition probabilities between process states depend on both the current age and the current wear level of the system. An application based on a real data set referring to the wear process of the cylinder liners of heavy-duty diesel engines for marine propulsion is analysed and discussed.

languor

Case studies in Bayesian computation using INLA,LA, is a prototype of such black-box for inference on latent Gaussian models which is both flexible and user-friendly. It is meant to, hopefully,make latent Gaussian models applicable, useful and appealing for a larger class of users.

敲詐

Springer Handbook of Power Systemspresent an application of the Relevant Vector Machine method that generates sparse functional linear and linear mixed models that can be used to rapidly estimate individual-specific and population average functions.

預測

Jean-Pierre Merlet,Clément Gosselin Profsition probabilities between process states depend on both the current age and the current wear level of the system. An application based on a real data set referring to the wear process of the cylinder liners of heavy-duty diesel engines for marine propulsion is analysed and discussed.

預測

Joachim Hertzberg Prof,Raja Chatila ProfLA, is a prototype of such black-box for inference on latent Gaussian models which is both flexible and user-friendly. It is meant to, hopefully,make latent Gaussian models applicable, useful and appealing for a larger class of users.

憤世嫉俗者

遠足

Axon895

Jorge Angeles PhD,Frank C. Park Profd by pathways. Given a sample of microarray data corresponding to two experimental conditions and a pathway linking some of the genes, we investigate whether the strength of the relations induced by the functional links change among the two experimental conditions.