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Computational Statistics & Data Analysis, Volume 145
Volume 145, May 2020
- Enrico Fabrizi
, Nicola Salvati
Robust Bayesian small area estimation based on quantile regression. 106900
- Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo:
Estimation and inference for area-wise spatial income distributions from grouped data. 106904
- Kento Nakamura, Keisuke Yano
Adjacency-based regularization for partially ranked data with non-ignorable missing. 106905
- Melike Oguz-Alper
Modelling multilevel data under complex sampling designs: An empirical likelihood approach. 106906 - Wei Jiang
Logistic regression with missing covariates - Parameter estimation, model selection and prediction within a joint-modeling framework. 106907
- Nick Kloodt, Natalie Neumeyer:
Specification tests in semiparametric transformation models - A multiplier bootstrap approach. 106908
- Kyunghee Han
Smooth backfitting for errors-in-variables varying coefficient regression models. 106909
- Jingjing Li, Zimu Chen, Zhanfeng Wang, Yuan-chin Ivan Chang
Active learning in multiple-class classification problems via individualized binary models. 106911
- Xiaoke Zhang
A new approach to varying-coefficient additive models with longitudinal covariates. 106912 - Andrew Gehman, William W. S. Wei
Optimal spatial aggregation of space-time models and applications. 106913 - Jeffrey Chu
Bias reduction in the population size estimation of large data sets. 106914 - Fangzheng Lin, Yanlin Tang, Zhongyi Zhu
Weighted quantile regression in varying-coefficient model with longitudinal data. 106915 - Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford
Vertex nomination: The canonical sampling and the extended spectral nomination schemes. 106916 - Adel Bedoui
Bayesian empirical likelihood for ridge and lasso regressions. 106917
- Dwueng-Chwuan Jhwueng
Modeling rate of adaptive trait evolution using Cox-Ingersoll-Ross process: An Approximate Bayesian Computation approach. 106924
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