Titlebook: Complex Models and Computational Methods in Statistics; Matteo Grigoletto,Francesco Lisi,Sonia Petrone Book 2013 Springer-Verlag Italia 20

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https://doi.org/10.1007/978-1-84800-316-3e. a continuous variable that has a lower bound, that we here consider to be zero, and such that a sizable fraction of the observations takes value on this boundary. Semicontinuous response models are common in pharmacovigilance, pharmacoepidemiological and pharmacoeconomic studies, where it can be

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Stability Enhancement of VSWT-PMSG,. The model allows for nonignorable missing values and integrates circular and normal densities to capture the association between toroidal clusters of circular observations and elliptical clusters of linear observations. Maximum likelihood estimation of the model is facilitated by an EM algorithm t

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民間傳說

Stability Enhancement of VSWT-PMSG,hospital of Mulhouse a town located in the north-east of France. Interest is on the distribution over geographical units of the number of patients living in this geographical unit. Models considered are within the framework of Bayesian latent Gaussian models. Our response variable is assumed to foll

空氣傳播

https://doi.org/10.1007/978-1-84800-316-3ty auctions, it is always assumed that every firm knows the aggregate supply function of its competitors. Since this information is generally not available, real data have to be substituted by predictions. In this paper we propose two alternative approaches to the problem and apply them to the hourl

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Hydrogen Generation from Wind Power,rays and become the new standard for transcriptional profiling. At a gene-level, RNA-Seq yields counts rather than continuous measures of expression, leading to the need for novel methods to deal with count data in high-dimensional problems.We present a hierarchical Bayesian approach to the modeling

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Matteo Grigoletto,Francesco Lisi,Sonia PetroneThe volume offers an updated overview of statistical methods for high-dimensional problems.It includes a wide range of statistical applications.It is addressed to the statistician working at the foref