Volume 30.
(as bibtex)
97 references.
Articles

128. A best linear threshold classification with scale mixture of skew normal populations
Kim, HeaJung

10111031. Integrated data depth for smooth functions and its application in supervised classification
Nagy, Stanislav,
Omelka, Marek,
Gijbels, Irène,
Hlubinka, Daniel

10331049. A simple method for combining estimates to improve the overall error rates in classification
Mojirsheibani, Majid,
Balakrishnan, Narayanaswamy

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure
Sakakihara, Michio,
Geng, Zhi,
Kuroda, Masahiro

10511077. Improving the vector \(\varepsilon \) acceleration for the EM algorithm using a restarting procedure

107129. Estimating cell probabilities in contingency tables with constraints on marginals/conditionals by geometric programming with applications
Hahn, Kyu S.,
Kim, SeungJean,
Lim, Johan,
Wang, Xinlei

10791096. Principal component analysis for compositional data vectors
Billard, Lynne,
Guan, Rong,
Shangguan, Liying,
Wang, Huiwen

10971109. A recursive formula for the Kaplan–Meier estimator with mean constraints and its application to empirical likelihood
Yang, Yifan,
Zhou, Mai

11111141. Implementation of Lévy CARMA model in Yuima package
Mercuri, Lorenzo,
Iacus, Stefano M.

11431161. Power, FDR and conservativeness of BBSGoF method
UñaÁlvarez, Jacobo de,
CastroConde, Irene

11631183. Pitman closeness of predictors of future order statistics for two parameter exponential distribution
Sadeghian, Narjes,
Ahmadi, Jafar,
MirMostafaee, S. M. T. K.

11851198. A new generalization of lifetime distributions
Zadkarami, Mohammad Reza,
Delgarm, Leila

11991229. Maximum likelihood estimation for a special exponential family under random doubletruncation
Emura, Takeshi,
Hu, YaHsuan

12311244. Optimal design generation: an approach based on discovery probability
Fontana, Roberto

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters
Ou, Yanjing,
Castagliola, P.,
Khoo, Michael B. C.,
You, H. W.

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters

12451278. Side sensitive group runs \(\bar{{X}}\) chart with estimated process parameters

12791279. Erratum to: Dynamic activity analysis modelbased winwin development forecasting under environment regulations in China
Härdle, Wolfgang K.,
Chen, Shiyi

131150. On the genetic algorithm with adaptive mutation rate and selected statistical applications
Andrade, Bernardo B. de,
Pereira, André G. C.

151189. An EM algorithm for the estimation of parameters of a flexible cure rate model with generalized gamma lifetime and model discrimination using likelihood and informationbased methods
Pal, Suvra,
Balakrishnan, N.

191203. Variable selection after screening: with or without data splitting?
Yang, Yuhong,
Zhu, Xiaoyi

205229. Bayesian structured variable selection in linear regression models
Lu, Tao,
Sun, Xiaoqian,
Wang, Min

231249. Model evaluation, discrepancy function estimation, and social choice theory
Weyhaupt, Adam G.,
Cavanaugh, Joseph E.,
Neath, Andrew A.

251277. Association rule mining through adaptive parameter control in particle swarm optimization
Kanmani, S.,
Indira, K.

279292. Generalized datafitting factor analysis with multiple quantification of categorical variables
Makino, Naomichi

2941. A GSCORE algorithm for performing a reduction test on multiple gene sets and their core genes
Yang, Tae Young

293316. Using visual statistical inference to better understand random class separations in high dimension, low sample size data
Toth, Amy L.,
Lee, EunKyung,
Majumder, Mahbubul,
Hofmann, Heike,
Cook, Dianne,
Chowdhury, Niladri Roy

317344. Kernelbased mixture models for classification
Wicker, Nicolas,
Murua, Alejandro

345358. Simultaneous confidence interval for quantile regression
Oh, HeeSeok,
Lim, Yaeji

359376. Shrinkage estimation in system regression model
Roozbeh, Mahdi,
Arashi, Mohammad

377397. Nonparametric estimation of conditional transition probabilities in a nonMarkov illnessdeath model
Datta, Somnath,
UñaÁlvarez, Jacobo de,
MeiraMachado, Luís

399418. Bayesian variable selection in multinomial probit model for classifying highdimensional data
Lin, Jinguan,
Tang, Niansheng,
Li, Yunxian,
Yang, Aijun

419440. Prospective space–time surveillance with cumulative surfaces for geographical identification of the emerging cluster
Simões, Taynãna,
Assunção, Renato,
Paiva, Thais

4355. Variable selection for varyingcoefficient models with the sparse regularization
Misumi, Toshihiro,
Matsui, Hidetoshi

441461. Assessing the impact of uniform and nonuniform differential item functioning items on Rasch measure: the polytomous case
Golia, Silvia

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space
Yadohisa, Hiroshi,
Mitsuhiro, Masaki

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space

463475. Reduced \(k\)means clustering with MCA in a lowdimensional space

477490. A general purpose module using refined descriptive sampling for installation in simulation systems
Alioui, Amine,
OurbihTari, Megdouda,
Zioui, Arezki,
Aloui, Abdelouhab

491516. Estimation of realized stochastic volatility models using Hamiltonian Monte CarloBased methods
Morimoto, Takayuki,
Nugroho, Didit B.

517537. Semiparametric stochastic volatility modelling using penalized splines
Kneib, Thomas,
Sohn, Alexander,
Michelot, Théo,
Langrock, Roland

539568. Penalized functiononfunction regression
Greven, Sonja,
Scheipl, Fabian,
Staicu, AnaMaria,
Ivanescu, Andrada E.

569592. Weighted quantile regression for longitudinal data
Fan, Zhaozhi,
Lu, Xiaoming

5780. Sestimation of hidden Markov models
Greco, Luca,
Farcomeni, Alessio

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design

593604. Saddlepoint \(p\)values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design
AbdElfattah, Ehab F.

605623. Pooled parametric inference for minimal repair systems
Balakrishnan, Narayanaswamy,
Amini, Morteza

625639. An iterative approach to minimize the mean squared error in ridge regression
Chiu, Sung Nok,
Wong, Ka Yiu

641646. Editorial to the special issue on Applicable semiparametrics of computational statistics
Trück, Stefan,
Okhrin, Ostap

647671. Partial linear modelling with multifunctional covariates
Vieu, Philippe,
Aneiros, Germán

673692. A partitioned Single Functional Index Model
Vieu, Philippe,
Goia, Aldo

693718. Modeling heterogeneity: a praise for varyingcoefficient models in causal analysis
Theler, Raoul,
Sperlich, Stefan

719744. Functional coefficient seasonal time series models with an application of Hawaii tourism data
Chen, Rong,
Cai, Zongwu,
Liu, Xialu

745766. Modelling spatiotemporal variability of temperature
Ritter, Matthias,
Odening, Martin,
Okhrin, Ostap,
Cao, Xiaofeng

767790. Identifying Berlin’s land value map using adaptive weights smoothing
Werwatz, Axel,
Wersing, Martin,
Schulz, Rainer,
Kolbe, Jens

791803. Computing electricity spot price prediction intervals using quantile regression and forecast averaging
Weron, Rafał,
Nowotarski, Jakub

805819. Forecasting of daily electricity prices with factor models: utilizing intraday and interzone relationships
Weron, Rafał,
Maciejowska, Katarzyna

8196. Study of compound generalized Nakagami–generalized inverse Gaussian distribution and related densities: application to ultrasound imaging
Karmeshu, ,
Gupta, Abhinav

821843. Recurrent support vector regression for a nonlinear ARMA model with applications to forecasting financial returns
Härdle, Wolfgang K.,
Jeong, Kiho,
Chen, Shiyi

845863. Common factors in credit defaults swap markets
Härdle, Wolfgang Karl,
Chen, Cathy YiHsuan

865884. Modelling bilateral intraindustry trade indexes with panel data: a semiparametric approach
Faustino, Horácio C.,
Proença, Isabel

885906. Differencing techniques in semiparametric panel data varying coefficient models with fixed effects: a Monte Carlo study
Soberón, Alexandra,
RodriguezPoo, Juan M.

907927. Visualization of evidence in regression with the QR decomposition
Braun, W. John

929955. Weighted linear regression models with fixed weights and spherical disturbances
Meermeyer, Martin

957986. Efficient resolution and basis functions selection in wavelet regression
Kim, Inyoung,
Park, Chun Gun

97105. Influence measure based on probabilistic behavior of regression estimators
Kim, Myung Geun

9871010. A comparison of tests for the oneway ANOVA problem for functional data
Smaga, Łukasz,
Górecki, Tomasz