Computational Statistics & Data Analysis
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Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

The general goodness-of-fit tests for correlated data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107379 ◽

2022 ◽

Vol 167 ◽

pp. 107379

Author(s):

Hong Zhang ◽

Zheyang Wu

Keyword(s):

Goodness Of Fit ◽

Correlated Data ◽

Goodness Of Fit Tests

Inference for monotone single-index conditional means: A Lorenz regression approach

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107347 ◽

2022 ◽

Vol 167 ◽

pp. 107347

Author(s):

Cédric Heuchenne ◽

Alexandre Jacquemain

Keyword(s):

Single Index ◽

Regression Approach ◽

Conditional Means

Bayesian beta regression for bounded responses with unknown supports

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107345 ◽

2022 ◽

Vol 167 ◽

pp. 107345

Author(s):

Haiming Zhou ◽

Xianzheng Huang

Keyword(s):

Beta Regression

Editorial Board

Computational Statistics & Data Analysis ◽

10.1016/s0167-9473(21)00228-0 ◽

2022 ◽

Vol 167 ◽

pp. 107394

Editorial Board

Computational Statistics & Data Analysis ◽

10.1016/s0167-9473(22)00007-x ◽

2022 ◽

Vol 168 ◽

pp. 107427

A group comparison in fMRI data using a semiparametric model under shape invariance

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107361 ◽

2022 ◽

Vol 167 ◽

pp. 107361

Author(s):

Arunava Samaddar ◽

Brooke S. Jackson ◽

Christopher J. Helms ◽

Nicole A. Lazar ◽

Jennifer E. McDowell ◽

...

Keyword(s):

Semiparametric Model ◽

Fmri Data ◽

Group Comparison ◽

Shape Invariance

Polymatching algorithm in observational studies with multiple treatment groups

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107364 ◽

2022 ◽

Vol 167 ◽

pp. 107364

Author(s):

Giovanni Nattino ◽

Chi Song ◽

Bo Lu

Keyword(s):

Observational Studies ◽

Treatment Groups ◽

Multiple Treatment

Model averaging for linear mixed models via augmented Lagrangian

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107351 ◽

2022 ◽

Vol 167 ◽

pp. 107351

Author(s):

René-Marcel Kruse ◽

Alexander Silbersdorff ◽

Benjamin Säfken

Keyword(s):

Mixed Models ◽

Augmented Lagrangian ◽

Linear Mixed Models ◽

Model Averaging

Selective inference for additive and linear mixed models

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107350 ◽

2022 ◽

Vol 167 ◽

pp. 107350

Author(s):

David Rügamer ◽

Philipp F.M. Baumann ◽

Sonja Greven

Keyword(s):

Mixed Models ◽

Linear Mixed Models ◽

Selective Inference

Model-based sparse coding beyond Gaussian independent model

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107336 ◽

2022 ◽

Vol 166 ◽

pp. 107336

Author(s):

Xin Xing ◽

Rui Xie ◽

Wenxuan Zhong

Keyword(s):

Sparse Coding ◽

Model Based ◽

Independent Model