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Computational Statistics & Data Analysis, Volume 175

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Volume 175, November 2022

Statistical Methodology for Data Analysis

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Zishen Xu, Chenran Wang, Wei Wu:
A unified framework on defining depth for point process using function smoothing. 107545
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Shenyi Pan, Harry Joe:
Predicting times to event based on vine copula models. 107546
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  - journals/csda/PalzerWBHSL22
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Elise F. Palzer, Christine Wendt, Russell Bowler, Craig P. Hersh, Sandra E. Safo, Eric F. Lock:
sJIVE: Supervised joint and individual variation explained. 107547
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Feifei Chen, María-Dolores Jiménez-Gamero, Simos G. Meintanis, Lixing Zhu:
A general Monte Carlo method for multivariate goodness-of-fit testing applied to elliptical families. 107548

Computational Statistics

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Min Gao, Wenzhi Yang, Shipeng Wu, Wei Yu:
Asymptotic normality of residual density estimator in stationary and explosive autoregressive models. 107549

Statistical Methodology for Data Analysis

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Danilo Petti, Alessia Eletti, Giampiero Marra, Rosalba Radice:
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme. 107550
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Haeran Cho, Claudia Kirch:
Bootstrap confidence intervals for multiple change points based on moving sum procedures. 107552
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Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, Jiajia Zhang:
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study. 107553
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Sanying Feng, Kaidi Kong, Yinfei Kong, Gaorong Li, Zhaoliang Wang:
Statistical inference of heterogeneous treatment effect based on single-index model. 107554
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Reza Modarres:
A high dimensional dissimilarity measure. 107560

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