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Publication search results
found 20 matches
- 2019
- Marina Bogomolov
, Ori Davidov:
Order restricted univariate and multivariate inference with adjustment for covariates in partially linear models. Comput. Stat. Data Anal. 133: 20-27 (2019) - Philip S. Boonstra
, Ryan P. Barbaro
, Ananda Sen:
Default priors for the intercept parameter in logistic regressions. Comput. Stat. Data Anal. 133: 245-256 (2019) - Ying Chen, Linlin Niu, Ray-Bing Chen
, Qiang He:
Sparse-Group Independent Component Analysis with application to yield curves prediction. Comput. Stat. Data Anal. 133: 76-89 (2019) - Fang Fang, Yuanyuan Chen:
A new approach for credit scoring by directly maximizing the Kolmogorov-Smirnov statistic. Comput. Stat. Data Anal. 133: 180-194 (2019) - Janet D. Godolphin
:
Two-level factorial and fractional factorial replicates in blocks of size two. Comput. Stat. Data Anal. 133: 120-137 (2019) - Jae-Hwan Jhong
, Ja-Yong Koo
:
Simultaneous estimation of quantile regression functions using B-splines and total variation penalty. Comput. Stat. Data Anal. 133: 228-244 (2019) - Natalie Karavarsamis
, Richard M. Huggins:
Two-stage approaches to the analysis of occupancy data II. The heterogeneous model and conditional likelihood. Comput. Stat. Data Anal. 133: 195-207 (2019) - Thomas Kirschstein
, Steffen Liebscher, Giuseppe Pandolfo, Giovanni Camillo Porzio, Giancarlo Ragozini
:
On finite-sample robustness of directional location estimators. Comput. Stat. Data Anal. 133: 53-75 (2019) - Hangsuck Lee, Jae Youn Ahn, Bangwon Ko:
Construction of multiple decrement tables under generalized fractional age assumptions. Comput. Stat. Data Anal. 133: 104-119 (2019) - Myeonggyun Lee
, Inkyung Jung
:
Modified spatial scan statistics using a restricted likelihood ratio for ordinal outcome data. Comput. Stat. Data Anal. 133: 28-39 (2019) - Hannah Lennon
, Jingsong Yuan
:
Estimation of a digitised Gaussian ARMA model by Monte Carlo Expectation Maximisation. Comput. Stat. Data Anal. 133: 277-284 (2019) - Shuwei Li, Tao Hu
, Xingqiu Zhao, Jianguo Sun
:
A class of semiparametric transformation cure models for interval-censored failure time data. Comput. Stat. Data Anal. 133: 153-165 (2019) - Ying Sheng, Qihua Wang:
Simultaneous variable selection and class fusion with penalized distance criterion based classifiers. Comput. Stat. Data Anal. 133: 138-152 (2019) - Guiling Shi, Chae Young Lim
, Tapabrata Maiti:
Bayesian model selection for generalized linear models using non-local priors. Comput. Stat. Data Anal. 133: 285-296 (2019) - Niansheng Tang
, Linli Xia, Xiaodong Yan:
Feature screening in ultrahigh-dimensional partially linear models with missing responses at random. Comput. Stat. Data Anal. 133: 208-227 (2019) - Kangning Wang, Shaomin Li, Xiaofei Sun, Lu Lin:
Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection. Comput. Stat. Data Anal. 133: 257-276 (2019) - Arkadiusz Wisniowski
, Jakub Bijak
, Jonathan J. Forster
, Peter W. F. Smith:
Hierarchical model for forecasting the outcomes of binary referenda. Comput. Stat. Data Anal. 133: 90-103 (2019) - Shibin Zhang
:
Bayesian copula spectral analysis for stationary time series. Comput. Stat. Data Anal. 133: 166-179 (2019) - Chun-Xia Zhang
, Shuang Xu
, Jiang-She Zhang:
A novel variational Bayesian method for variable selection in logistic regression models. Comput. Stat. Data Anal. 133: 1-19 (2019) - Rui Zhu, Subhashis Ghosal:
Bayesian Semiparametric ROC surface estimation under verification bias. Comput. Stat. Data Anal. 133: 40-52 (2019)
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