Volume 10.
(as bibtex)
48 references.
Articles
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1-3. Introduction to this special issue
Zhigljavsky, Anatoly,
Wang, Shouyang,
Zhang, Heping
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107-118. Detecting hidden periodicities for models with cyclical errors
Frías, María Pilar,
Ruiz-Medina, María Dolores,
Leonenko, Nikolai,
Martínez, Francisco,
Ivanov, Alexander V.
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119-130. A hybrid transfer learning model for crude oil price forecasting
Xu, Lixiang,
Xiao, Jin,
Xiao, Yi,
Hu, Yi,
Wang, Shouyang
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131-144. Modelling extreme flood heights in the lower Limpopo River basin of Mozambique using a time-heterogeneous generalised Pareto distribution
Maposa, Daniel,
Lesaoana, Maseka,
Cochran, James J.
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145-150. Assessment of SSA predictions of Earth temperature records
Kornikov, Vladimir
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151-163. SSA analysis and forecasting of records for Earth temperature and ice extents
Zhigljavsky, Anatoly,
Pepelyshev, Andrey
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165-173. Word segmentation in Chinese language processing
Shu, Xinxin,
Wang, Junhui,
Qu, Annie,
Shen, Xiaotong
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175-185. REC: fast sparse regression-based multicategory classification
Prins, Jan F.,
Liu, Jinze,
Jones, Corbin,
Singh, Darshan,
Hu, Yin,
Zhang, Chong,
Lu, Xiaoling,
Liu, Yufeng,
Zhu, Zhengyuan
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187-198. Noncrossing ordinal classification
Qiao, Xingye
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19-25. Simple nuclear norm based algorithms for imputing missing data and forecasting in time series
Butcher, Holly,
Gillard, Jonathan
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199-205. New tree structured survival analysis for hip fracture of SOF data
Jin, Hua,
Lu, Ying
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207-216. Box dimension estimation of multi-dimensional random fields via wavelet shrinkage
Taheriyoun, Ali Reza,
Wang, Yazhen
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217-227. Variable selection in joint location, scale and skewness models with a skew-t-normal distribution
Ma, Ting,
Zhang, Yan-Qing,
Wu, Liucang,
Tian, Guo-Liang
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229-238. Variable selection in ROC curve analysis with focused information criteria
Yang, Baoying,
Qin, Gengsheng,
Huang, Xin
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239-254. Power-transformed linear quantile regression estimation for censored competing risks data
Zhang, Feipeng,
Fan, Caiyun,
Zhou, Yong
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255-265. Identifying interaction effects via additive quantile regression models
Hu, Yanan,
Zhu, Qianqian,
Tian, Maozai
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267-277. Testing for gene-gene interaction in case-control GWAS
Chen, Zhongxue
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27-32. Asymptotic extraction of common signal subspaces from perturbed signals
Vasilinetc, Irina,
Nekrutkin, Vladimir
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279-289. Correcting length-bias in gene set analysis for DNA methylation data
Lin, Tong,
He, Tao,
Li, Shaoyu,
Pawlikowska, Iwona
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291-311. Type I multivariate zero-inflated generalized Poisson distribution with applications
Huang, Xi-Fen,
Zhang, Chi,
Jiang, Xuejun,
Tian, Guo-Liang
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313-341. Analysis of cortical morphometric variability using labeled cortical distance maps
Ratnanather, J. T.,
Botteron, K. N.,
Nishino, T.,
Ceyhan, E.,
Miller, M. I.
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33-46. On perturbation stability of SSA and MSSA forecasts and the supportiveness of time series
Vronskaya-Robl, Maria,
Schmidt, Karl Michael
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343-353. Information criterion of seriously over-fitting change-point models
Yau, Chun Yip,
Ng, Chi Tim
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355-367. A local structure model for network analysis
Nordman, Daniel,
Casleton, Emily,
Kaiser, Mark
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369-378. LCN: a random graph mixture model for community detection in functional brain networks
Bryant, Christopher,
Ahn, Mihye,
Zhu, Hongtu,
Ibrahim, Joseph
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379-386. Genome-wide association test of multiple continuous traits using imputed SNPs
Pankow, James S.,
Wu, Baolin
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387-397. A nonparametric approach for functional mapping of complex traits
Zhu, Xuli,
Sun, Lidan,
Hao, Han,
Wu, Rongling
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399-406. Adaptive model-free sure independence screening
Zhu, Shan,
Wen, Canhong,
Wang, Xueqin,
Chen, Xin
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407-412. Efficient feature screening for ultrahigh-dimensional varying coefficient models
Ma, Xuejun,
Wang, Xueqin,
Zhang, Jingxiao,
Chen, Xin
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413-424. Semiparametric hierarchical model with heteroscedasticity
Ma, Chuoxin,
Tian, Maozai,
Pan, Jianxin
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425-439. Bayesian analysis of censored linear regression models with scale mixtures of skew-normal distributions
Massuia, Monique B.,
Garay, Aldo M.,
Lachos, V. H.,
Cabral, Celso R. B.
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441-450. Bayesian semiparametric mixed-effects joint models for analysis of longitudinal-competing risks data with skew distribution
Lu, Tao
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451-470. Bayesian forecasting of Value-at-Risk based on variant smooth transition heteroskedastic models
Weng, Monica M. C.,
Watanabe, Toshiaki,
Chen, Cathy W. S.
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47-57. Semi-nonparametric singular spectrum analysis with projection
Shlemov, Alex,
Golyandina, Nina
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471-482. Quantile regression in linear mixed models: a stochastic approximation EM approach
Galarza, Christian E.,
Lachos, Victor H.,
Bandyopadhyay, Dipankar
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483-493. A quantile parametric mixed regression model for bounded response variables
Bayes, Cristian L.,
Bazán, Jorge L.,
de Castro, Mário
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495-504. Varying-coefficient single-index model for longitudinal data
Lin, Hongmei,
Shi, Jianhong,
Zhang, Riquan,
Wang, Yuedong
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5-18. Iterative algorithms for weighted and unweighted finite-rank time-series approximations
Zvonarev, Nikita,
Golyandina, Nina
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505-520. The beta transmuted-H family for lifetime data
Yousof, Haitham,
Afify, Ahmed,
Nadarajah, Saralees
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521-527. Optimal progressive Type-I interval censored scheme under step-stress life testing
Zhao, Xuejing,
Bordes, Laurent
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59-70. Lipschitz optimization methods for fitting a sum of damped sinusoids to a series of observations
Kvasov, D. E.,
Gillard, J. W.
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71-79. Semiparametric analysis for environmental time series
Tang, Lin,
Shao, Qin
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81-92. Testing trend stationarity of functional time series with application to yield and daily price curves
Young, Gabriel,
Kokoszka, Piotr
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93-106. Real-time financial surveillance via quickest change-point detection methods
Polunchenko, Aleksey S.,
Pepelyshev, Andrey
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NA-NA. Supplementary material for “Quantile regression in linear mixed models: a stochastic approximation EM approach”
Galarza, Christian E.,
Lachos, Victor H.,
Bandyopadhyay, Dipankar
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NA-NA. Supplement to article “Variable selection in ROC curve analysis with focused information criteria”
Yang, Baoying,
Qin, Gengsheng,
Huang, Xin
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NA-NA. Supplementary material for “Genome-wide association test of multiple continuous traits using imputed SNPs”
Pankow, James S.,
Wu, Baolin
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NA-NA. Supplementary material for “Bayesian semiparametric mixed-effects joint models for analysis of longitudinal-competing risks data with skew distribution”
Lu, Tao