COMPUTATIONAL STATISTICS & DATA ANALYSIS
COMPUTATIONAL STATISTICS & DATA ANALYSIS(英文缩写 COMPUT STAT DATA AN),ISSN 0167-9473,eISSN 1872-7352 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 最新收录文献
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Modeling Disease-specific Survival in Observational Studies with Missing Cause of Death: Leveraging Information from Clinical Trial Data.
Modeling disease-specific survival (DSS) is essential for evaluating the risk of death due to the disease itself, offering valuable insights into disease progression, identifying high-risk subgroups, …
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A simultaneous confidence-bounded true discovery proportion perspective on localizing differences in smooth terms in regression models.
A method is demonstrated for localizing where two spline terms, or smooths, differ using a true discovery proportion (TDP)-based interpretation. The procedure yields a statement on the proportion of s…
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Sparse vertex discriminant analysis: Variable selection for biomedical classification applications.
Modern biomedical datasets are often high-dimensional at multiple levels of biological organization. Practitioners must therefore grapple with data to estimate sparse or low-rank structures so as to a…
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Efficient Bayesian functional principal component analysis of irregularly-observed multivariate curves.
The analysis of multivariate functional curves has the potential to yield important scientific discoveries in domains such as healthcare, medicine, economics and social sciences. However, it is common…
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A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model.
A double Pólya-Gamma data augmentation scheme is developed for posterior sampling from a Bayesian hierarchical model of total and categorical count data. The scheme applies to a Negative Binomial - Bi…
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Bayesian Simultaneous Factorization and Prediction Using Multi-Omic Data.
Integrative factorization methods for multi-omic data estimate factors explaining biological variation. Factors can be treated as covariates to predict an outcome and the factorization can be used to …
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Variable Selection in Bayesian Multiple Instance Regression using Shotgun Stochastic Search.
In multiple instance learning (MIL), a bag represents a sample that has a set of instances, each of which is described by a vector of explanatory variables, but the entire bag only has one label/respo…
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Flexible Regularized Estimation in High-Dimensional Mixed Membership Models.
Mixed membership models are an extension of finite mixture models, where each observation can partially belong to more than one mixture component. A probabilistic framework for mixed membership models…
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{"_":"Estimation of Norm Penalized Models: A Statistical Treatment.","mml:math":[{"xmlns:mml":["http://www.w3.org/1998/Math/MathML"],"mml:mrow":[{"mml:msub":[{"mml:mi":["l"],"mml:mtext":["0"]}]}]}]}
Fitting penalized models for the purpose of merging the estimation and model selection problem has become commonplace in statistical practice. Of the various regularization strategies that can be leve…
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Hierarchical False Discovery Rate Control for High-dimensional Survival Analysis with Interactions.
With the development of data collection techniques, analysis with a survival response and high-dimensional covariates has become routine. Here we consider an interaction model, which includes a set of…