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Computational Statistics & Data Analysis, Volume 140

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Volume 140, December 2019

Statistical Methodology for Data Analysis

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M. Ignacia Vicuña, Wilfredo Palma, Ricardo A. Olea:
Minimum distance estimation of locally stationary moving average processes. 1-20

Computational Statistics

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Jean-François Quessy, Louis-Paul Rivest, Marie-Hélène Toupin:
Goodness-of-fit tests for the family of multivariate chi-square copulas. 21-40
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  - journals/csda/RathkeS19
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Fabian Rathke, Christoph Schnörr:
Fast multivariate log-concave density estimation. 41-58
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  - journals/csda/GrollHKU19
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Andreas Groll, Julien Hambuckers, Thomas Kneib, Nikolaus Umlauf:
LASSO-type penalization in the framework of generalized additive models for location, scale and shape. 59-73
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Pao-sheng Shen, Hsin-Jen Chen, Wen-Harn Pan, Chyong-Mei Chen:
Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction. 74-87

Statistical Methodology for Data Analysis

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Mathisca C. M. de Gunst, Bartek Knapik, Michel Mandjes, Birgit Sollie:
Parameter estimation for a discretely observed population process under Markov-modulation. 88-103
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Wan-Lun Wang, Luis Mauricio Castro, Victor H. Lachos, Tsung-I Lin:
Model-based clustering of censored data via mixtures of factor analyzers. 104-121
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Guo-Liang Tian, Yin Liu, Man-Lai Tang, Tao Li:
A novel MM algorithm and the mode-sharing method in Bayesian computation for the analysis of general incomplete categorical data. 122-143
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Jia Zhang, Xin Chen:
Robust sufficient dimension reduction via ball covariance. 144-154

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