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  Subjects -> STATISTICS (Total: 130 journals)
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Computational Statistics & Data Analysis
Journal Prestige (SJR): 1.396
Citation Impact (citeScore): 2
Number of Followers: 34  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0167-9473 - ISSN (Online) 0167-9473
Published by Elsevier Homepage  [2906 journals]
  • Bootstrap confidence intervals for multiple change points based on moving
           sum procedures

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      Abstract: Publication date: Available online 22 June 2022Source: Computational Statistics & Data AnalysisAuthor(s): Haeran Cho, Claudia Kirch
       
  • Asymptotic normality of residual density estimator in stationary and
           explosive autoregressive models

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      Abstract: Publication date: Available online 21 June 2022Source: Computational Statistics & Data AnalysisAuthor(s): Min Gao, Wenzhi Yang, Shipeng Wu, Wei Yu
       
  • Empirical likelihood inference for longitudinal data with covariate
           measurement errors: An application to the LEAN study

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      Abstract: Publication date: Available online 21 June 2022Source: Computational Statistics & Data AnalysisAuthor(s): Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, Jiajia Zhang
       
  • Statistical inference of heterogeneous treatment effect based on
           single-index model

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      Abstract: Publication date: Available online 21 June 2022Source: Computational Statistics & Data AnalysisAuthor(s): Sanying Feng, Kaidi Kong, Yinfei Kong, Gaorong Li, Zhaoliang Wang
       
  • Copula link-based additive models for bivariate time-to-event outcomes
           with general censoring scheme

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      Abstract: Publication date: Available online 20 June 2022Source: Computational Statistics & Data AnalysisAuthor(s): Danilo Petti, Alessia Eletti, Giampiero Marra, Rosalba Radice
       
  • A general Monte Carlo method for multivariate goodness–of–fit testing
           applied to elliptical families

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      Abstract: Publication date: Available online 17 June 2022Source: Computational Statistics & Data AnalysisAuthor(s): Feifei Chen, M. Dolores Jiménez–Gamero, Simos Meintanis, Lixing Zhu
       
  • A Unified Framework on Defining Depth for Point Process Using Function
           Smoothing

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      Abstract: Publication date: Available online 15 June 2022Source: Computational Statistics & Data AnalysisAuthor(s): Zishen Xu, Chenran Wang, Wei Wu
       
  • Predicting Times to Event Based on Vine Copula Models

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      Abstract: Publication date: Available online 14 June 2022Source: Computational Statistics & Data AnalysisAuthor(s): Shenyi Pan, Harry Joe
       
  • sJIVE: Supervised joint and individual variation explained

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      Abstract: Publication date: Available online 14 June 2022Source: Computational Statistics & Data AnalysisAuthor(s): Elise F. Palzer, Christine H. Wendt, Russell P. Bowler, Craig P. Hersh, Sandra E. Safo, Eric F. Lock
       
  • Large-scale local surrogate modeling of stochastic simulation experiments

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      Abstract: Publication date: Available online 26 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): D. Austin Cole, Robert B. Gramacy, Mike Ludkovski
       
  • A roughness penalty approach to estimate densities over two-dimensional
           manifolds

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      Abstract: Publication date: Available online 25 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): Eleonora Arnone, Federico Ferraccioli, Clara Pigolotti, Laura M. Sangalli
       
  • Independence Index Sufficient Variable Screening for Categorical Responses

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      Abstract: Publication date: Available online 19 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): Qingcong Yuan, Xianyan Chen, Chenlu Ke, Xiangrong Yin
       
  • GPU accelerated estimation of a shared random effect joint model for
           dynamic prediction

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      Abstract: Publication date: October 2022Source: Computational Statistics & Data Analysis, Volume 174Author(s): Shikun Wang, Zhao Li, Lan Lan, Jieyi Zhao, W. Jim Zheng, Liang Li
       
  • Likelihood-free inference with deep Gaussian processes

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      Abstract: Publication date: Available online 18 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski
       
  • A data-driven line search rule for support recovery in high-dimensional
           data analysis

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      Abstract: Publication date: Available online 17 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang
       
  • Robust Fitting of Mixture Models using Weighted Complete Estimating
           Equations

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      Abstract: Publication date: Available online 13 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): Shonosuke Sugasawa, Genya Kobayashi
       
  • Improved linear regression prediction by transfer learning

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      Abstract: Publication date: Available online 11 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim
       
  • Markov-switching state-space models with applications to neuroimaging

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      Abstract: Publication date: Available online 10 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): David Degras, Chee-Ming Ting, Hernando Ombao
       
  • Support vector regression with penalized likelihood

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      Abstract: Publication date: Available online 9 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): Takumi Uemoto, Kanta Naito
       
  • Hierarchical testing procedure for three arm non-inferiority trials

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      Abstract: Publication date: Available online 5 May 2022Source: Computational Statistics & Data AnalysisAuthor(s): Santu Ghosh, Wenge Guo, Samiran Ghosh
       
  • High-dimensional causal mediation analysis based on partial linear
           structural equation models

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      Abstract: Publication date: Available online 9 April 2022Source: Computational Statistics & Data AnalysisAuthor(s): Xizhen Cai, Yeying Zhu, Yuan Huang, Debashis Ghosh
       
  • Outlier detection in multivariate functional data through a contaminated
           mixture model

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      Abstract: Publication date: Available online 6 April 2022Source: Computational Statistics & Data AnalysisAuthor(s): Martial Amovin-Assagba, Irène Gannaz, Julien Jacques
       
  • Time-varying spectral matrix estimation via intrinsic wavelet regression
           for surfaces of Hermitian positive definite matrices

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      Abstract: Publication date: Available online 23 March 2022Source: Computational Statistics & Data AnalysisAuthor(s): Joris Chau, Rainer von Sachs
       
  • Nonlinear predictive directions in clinical trials

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      Abstract: Publication date: Available online 18 March 2022Source: Computational Statistics & Data AnalysisAuthor(s): Youngjoo Cho, Xiang Zhan, Debashis Ghosh
       
  • Wavelet testing for a replicate-effect within an ordered multiple-trial
           experiment

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      Abstract: Publication date: Available online 24 February 2022Source: Computational Statistics & Data AnalysisAuthor(s): Jonathan Embleton, Marina I. Knight, Hernando Ombao
       
  • Horseshoe shrinkage methods for Bayesian fusion estimation

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      Abstract: Publication date: Available online 18 February 2022Source: Computational Statistics & Data AnalysisAuthor(s): Sayantan Banerjee
       
  • Computing the Asymptotic Distribution of Second-order U- and
           V-statistics

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      Abstract: Publication date: Available online 14 February 2022Source: Computational Statistics & Data AnalysisAuthor(s): Raffaello Seri
       
  • Estimation of the volume under a ROC surface in presence of covariates

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      Abstract: Publication date: Available online 31 January 2022Source: Computational Statistics & Data AnalysisAuthor(s): Duc Khanh To, Gianfranco Adimari, Monica Chiogna
       
  • Gaussian graphical modeling for spectrometric data analysis

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      Abstract: Publication date: Available online 6 January 2022Source: Computational Statistics & Data AnalysisAuthor(s): Laura Codazzi, Alessandro Colombi, Matteo Gianella, Raffaele Argiento, Lucia Paci, Alessia Pini
       
  • Brain waves analysis via a non-parametric Bayesian mixture of
           autoregressive kernels

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      Abstract: Publication date: Available online 16 December 2021Source: Computational Statistics & Data AnalysisAuthor(s): Guilllermo Granados-Garcia, Marc Fiecas, Shahbaba Babak, Norbert J. Fortin, Hernando Ombao
       
  • Generalisations of a Bayesian decision-theoretic randomisation procedure
           and the impact of delayed responses

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      Abstract: Publication date: Available online 7 December 2021Source: Computational Statistics & Data AnalysisAuthor(s): S. Faye Williamson, Peter Jacko, Thomas Jaki
       
  • Airflow recovery from thoracic and abdominal movements using
           synchrosqueezing transform and locally stationary Gaussian process
           regression

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      Abstract: Publication date: Available online 8 November 2021Source: Computational Statistics & Data AnalysisAuthor(s): Whitney K. Huang, Yu-Min Chung, Yu-Bo Wang, Jeff E. Mandel, Hau-Tieng Wu
       
  • The Wasserstein Impact Measure (WIM): A practical tool for quantifying
           prior impact in Bayesian statistics

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      Abstract: Publication date: Available online 4 October 2021Source: Computational Statistics & Data AnalysisAuthor(s): Fatemeh Ghaderinezhad, Christophe Ley, Ben Serrien
       
  • Efficient estimation in a partially specified nonignorable propensity
           score model

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      Abstract: Publication date: Available online 21 July 2021Source: Computational Statistics & Data AnalysisAuthor(s): Mengyan Li, Yanyuan Ma, Jiwei Zhao
       
 
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