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Content
2019, Volume 170, Issue C
- 149-161 Multivariate and functional robust fusion methods for structured Big Data
by Aaron, Catherine & Cholaquidis, Alejandro & Fraiman, Ricardo & Ghattas, Badih
- 162-185 Multi-aspect local inference for functional data: Analysis of ultrasound tongue profiles
by Pini, Alessia & Spreafico, Lorenzo & Vantini, Simone & Vietti, Alessandro
- 186-201 Strongly consistent autoregressive predictors in abstract Banach spaces
by Ruiz-Medina, María D. & Álvarez-Liébana, Javier
- 202-220 Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data
by Jiang, Qing & Hušková, Marie & Meintanis, Simos G. & Zhu, Lixing
- 221-231 Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints
by Rossini, Jacopo & Canale, Antonio
- 232-243 High-dimensional functional time series forecasting: An application to age-specific mortality rates
by Gao, Yuan & Shang, Han Lin & Yang, Yanrong
- 244-262 Commuter of operators in a Hilbert space
by Boudou, Alain & Viguier-Pla, Sylvie
- 263-274 Spatial functional principal component analysis with applications to brain image data
by Li, Yingxing & Huang, Chen & Härdle, Wolfgang K.
- 275-295 Modeling spatially dependent functional data via regression with differential regularization
by Arnone, Eleonora & Azzimonti, Laura & Nobile, Fabio & Sangalli, Laura M.
- 296-314 Estimation and testing for partially functional linear errors-in-variables models
by Zhu, Hanbing & Zhang, Riquan & Yu, Zhou & Lian, Heng & Liu, Yanghui
- 315-335 Inference for sparse and dense functional data with covariate adjustments
by Liebl, Dominik
2019, Volume 169, Issue C
- 1-20 Sparse inference of the drift of a high-dimensional Ornstein–Uhlenbeck process
by Gaïffas, Stéphane & Matulewicz, Gustaw
- 21-32 Projection tests for high-dimensional spiked covariance matrices
by Guo, Wenwen & Cui, Hengjian
- 33-48 A tail adaptive approach for change point detection
by Liu, Bin & Zhou, Cheng & Zhang, Xinsheng
- 49-60 Bayesian simultaneous estimation for means in k-sample problems
by Imai, Ryo & Kubokawa, Tatsuya & Ghosh, Malay
- 61-80 Fast Monte Carlo Markov chains for Bayesian shrinkage models with random effects
by Abrahamsen, Tavis & Hobert, James P.
- 81-94 Connecting pairwise geodesic spheres by depth: DCOPS
by Fraiman, Ricardo & Gamboa, Fabrice & Moreno, Leonardo
- 95-109 On total positivity of exchangeable random variables obtained by symmetrization, with applications to failure-dependent lifetimes
by Bezgina, E. & Burkschat, M.
- 110-129 Modeling, simulation and inference for multivariate time series of counts using trawl processes
by Veraart, Almut E.D.
- 130-137 Optimal rate for covariance operator estimators of functional autoregressive processes with random coefficients
by Allam, Abdelaziz & Mourid, Tahar
- 138-165 Asymptotics for empirical eigenvalue processes in high-dimensional linear factor models
by Horváth, Lajos & Rice, Gregory
- 166-178 A class of optimal estimators for the covariance operator in reproducing kernel Hilbert spaces
by Zhou, Yang & Chen, Di-Rong & Huang, Wei
- 179-204 Optimal estimation of slope vector in high-dimensional linear transformation models
by Tan, Xin Lu
- 205-217 Reduced rank modeling for functional regression with functional responses
by Lin, Hongmei & Jiang, Xuejun & Lian, Heng & Zhang, Weiping
- 218-233 Functional response regression analysis
by Chen, Xuerong & Li, Haoqi & Liang, Hua & Lin, Huazhen
- 234-247 General Gaussian estimation
by Zhang, Tonglin
- 248-263 On parameter estimation of the hidden Ornstein–Uhlenbeck process
by Kutoyants, Yury A.
- 264-277 A copula model for non-Gaussian multivariate spatial data
by Krupskii, Pavel & Genton, Marc G.
- 278-299 Sparse quadratic classification rules via linear dimension reduction
by Gaynanova, Irina & Wang, Tianying
- 300-311 Improved loss estimation for a normal mean matrix
by Matsuda, Takeru & Strawderman, William E.
- 312-329 Robust two-sample test of high-dimensional mean vectors under dependence
by Wang, Wei & Lin, Nan & Tang, Xiang
- 330-340 Approximation of some multivariate risk measures for Gaussian risks
by Hashorva, Enkelejd
- 341-362 Central limit theorem and bootstrap procedure for Wasserstein’s variations with an application to structural relationships between distributions
by del Barrio, Eustasio & Gordaliza, Paula & Lescornel, Hélène & Loubes, Jean-Michel
- 363-380 Asymptotics of generalized depth-based spread processes and applications
by Wang, Jin
- 381-399 Inference from multiple samples of Weibull sequential order statistics
by Bedbur, Stefan & Johnen, Marcus & Kamps, Udo
- 400-422 Detection of block-exchangeable structure in large-scale correlation matrices
by Perreault, Samuel & Duchesne, Thierry & Nešlehová, Johanna G.
2018, Volume 168, Issue C
- 1-29 Estimation of two high-dimensional covariance matrices and the spectrum of their ratio
by Wen, Jun
- 30-47 Shape-preserving wavelet-based multivariate density estimation
by Aya-Moreno, Carlos & Geenens, Gery & Penev, Spiridon
- 48-62 Joint sufficient dimension reduction for estimating continuous treatment effect functions
by Huang, Ming-Yueh & Chan, Kwun Chuen Gary
- 63-74 Classified mixed logistic model prediction
by Sun, Hanmei & Nguyen, Thuan & Luan, Yihui & Jiang, Jiming
- 75-104 Wavelet eigenvalue regression for n-variate operator fractional Brownian motion
by Abry, Patrice & Didier, Gustavo
- 105-118 Sparse estimation for functional semiparametric additive models
by Sang, Peijun & Lockhart, Richard A. & Cao, Jiguo
- 119-130 Robust network-based analysis of the associations between (epi)genetic measurements
by Wu, Cen & Zhang, Qingzhao & Jiang, Yu & Ma, Shuangge
- 131-141 D-optimal design for the heteroscedastic Berman model on an arc
by Liu, Xin & Yue, Rong-Xian & Wong, Weng Kee
- 142-159 Generalized principal Hessian directions for mixture multivariate skew elliptical distributions
by Chen, Fei & Shi, Lei & Zhu, Xuehu & Zhu, Lixing
- 160-173 On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings
by Hyodo, Masashi & Watanabe, Hiroki & Seo, Takashi
- 174-184 Stochastic comparisons and multivariate dependence for the epoch times of trend renewal processes
by Badía, Francisco German & Sangüesa, Carmen & Cha, Ji Hwan
- 185-200 Efficient likelihood computations for some multivariate Gaussian Markov random fields
by Ippoliti, L. & Martin, R.J. & Romagnoli, L.
- 201-210 An RKHS-based approach to double-penalized regression in high-dimensional partially linear models
by Cui, Wenquan & Cheng, Haoyang & Sun, Jiajing
- 211-220 Approximate least squares estimators of a two-dimensional chirp model and their asymptotic properties
by Grover, Rhythm & Kundu, Debasis & Mitra, Amit
- 221-239 Time-varying correlation structure estimation and local-feature detection for spatio-temporal data
by Zheng, Xueying & Xue, Lan & Qu, Annie
- 240-260 Membership testing for Bernoulli and tail-dependence matrices
by Krause, Daniel & Scherer, Matthias & Schwinn, Jonas & Werner, Ralf
- 261-275 Robust estimation in linear regression models for longitudinal data with covariate measurement errors and outliers
by Zhang, Yuexia & Qin, Guoyou & Zhu, Zhongyi & Zhang, Jiajia
- 276-289 Simplicial variances, potentials and Mahalanobis distances
by Pronzato, Luc & Wynn, Henry P. & Zhigljavsky, Anatoly A.
- 290-303 Representation of multivariate Bernoulli distributions with a given set of specified moments
by Fontana, Roberto & Semeraro, Patrizia
- 304-322 Generalizing distance covariance to measure and test multivariate mutual dependence via complete and incomplete V-statistics
by Jin, Ze & Matteson, David S.
- 323-333 Cumulative damage and times of occurrence for a multicomponent system: A discrete time approach
by Fierro, Raúl & Leiva, Víctor & Maidana, Jean Paul
- 334-351 Broken adaptive ridge regression and its asymptotic properties
by Dai, Linlin & Chen, Kani & Sun, Zhihua & Liu, Zhenqiu & Li, Gang
2018, Volume 167, Issue C
- 1-14 Local and global temporal correlations for longitudinal data
by Zhou, Yang & Lin, Shu-Chin & Wang, Jane-Ling
- 15-30 Modeling spatial anisotropy via regression with partial differential regularization
by Bernardi, Mara S. & Carey, Michelle & Ramsay, James O. & Sangalli, Laura M.
- 31-48 An expectation–maximization algorithm for the matrix normal distribution with an application in remote sensing
by Glanz, Hunter & Carvalho, Luis
- 49-59 Small area estimation with multiple covariates measured with errors: A nested error linear regression approach of combining multiple surveys
by Datta, Gauri S. & Torabi, Mahmoud & Rao, J.N.K. & Liu, Benmei
- 60-78 Robust variable selection of joint frailty model for panel count data
by Wang, Weiwei & Wu, Xianyi & Zhao, Xiaobing & Zhou, Xian
- 79-96 On the sign consistency of the Lasso for the high-dimensional Cox model
by Lv, Shaogao & You, Mengying & Lin, Huazhen & Lian, Heng & Huang, Jian
- 97-113 Cone distribution functions and quantiles for multivariate random variables
by Hamel, Andreas H. & Kostner, Daniel
- 114-135 Inference for asymptotically independent samples of extremes
by Guillou, Armelle & Padoan, Simone A. & Rizzelli, Stefano
- 136-156 The joint distribution of the sum and maximum of dependent Pareto risks
by Arendarczyk, Marek & Kozubowski, Tomasz. J. & Panorska, Anna K.
- 157-170 High-dimensional multivariate posterior consistency under global–local shrinkage priors
by Bai, Ray & Ghosh, Malay
- 171-180 Simulating conditionally specified models
by Kuo, Kun-Lin & Wang, Yuchung J.
- 181-194 On model-based clustering of skewed matrix data
by Melnykov, Volodymyr & Zhu, Xuwen
- 195-211 Hierarchical Archimax copulas
by Hofert, Marius & Huser, Raphaël & Prasad, Avinash
- 212-224 Robust inference for seemingly unrelated regression models
by Peremans, Kris & Van Aelst, Stefan
- 225-249 On two-sample mean tests under spiked covariances
by Wang, Rui & Xu, Xingzhong
- 250-268 Multidimensional multiple group IRT models with skew normal latent trait distributions
by Padilla, Juan L. & Azevedo, Caio L.N. & Lachos, Victor H.
- 269-283 A U-classifier for high-dimensional data under non-normality
by Rauf Ahmad, M. & Pavlenko, Tatjana
- 284-305 Hotelling’s T2 in separable Hilbert spaces
by Pini, Alessia & Stamm, Aymeric & Vantini, Simone
- 306-318 Equivalence and orthogonality of Gaussian measures on spheres
by Arafat, Ahmed & Porcu, Emilio & Bevilacqua, Moreno & Mateu, Jorge
- 319-330 A model selection approach for multiple sequence segmentation and dimensionality reduction
by Castro, Bruno M. & Lemes, Renan B. & Cesar, Jonatas & Hünemeier, Tábita & Leonardi, Florencia
- 331-346 Probabilistic partial least squares model: Identifiability, estimation and application
by el Bouhaddani, Said & Uh, Hae-Won & Hayward, Caroline & Jongbloed, Geurt & Houwing-Duistermaat, Jeanine
- 347-365 On the length of copula level curves
by Coblenz, Maximilian & Grothe, Oliver & Schreyer, Manuela & Trutschnig, Wolfgang
- 366-377 On dual model-free variable selection with two groups of variables
by Alothman, Ahmad & Dong, Yuexiao & Artemiou, Andreas
- 378-394 Leveraging mixed and incomplete outcomes via reduced-rank modeling
by Luo, Chongliang & Liang, Jian & Li, Gen & Wang, Fei & Zhang, Changshui & Dey, Dipak K. & Chen, Kun
- 395-417 Locally robust methods and near-parametric asymptotics
by Penev, Spiridon & Naito, Kanta
- 418-434 Variable selection for partially linear models via partial correlation
by Liu, Jingyuan & Lou, Lejia & Li, Runze
- 435-452 Asymptotic performance of PCA for high-dimensional heteroscedastic data
by Hong, David & Balzano, Laura & Fessler, Jeffrey A.
2018, Volume 166, Issue C
- 1-16 Integrative sparse principal component analysis
by Fang, Kuangnan & Fan, Xinyan & Zhang, Qingzhao & Ma, Shuangge
- 17-31 Efficient test-based variable selection for high-dimensional linear models
by Gong, Siliang & Zhang, Kai & Liu, Yufeng
- 32-49 On masking and swamping robustness of leading nonparametric outlier identifiers for multivariate data
by Wang, Shanshan & Serfling, Robert
- 50-61 Extreme-value copulas associated with the expected scaled maximum of independent random variables
by Mai, Jan-Frederik
- 62-77 Analysis of ordinal longitudinal data under nonignorable missingness and misreporting: An application to Alzheimer’s disease study
by Rana, Subrata & Roy, Surupa & Das, Kalyan
- 78-97 Variable selection in multivariate linear models with high-dimensional covariance matrix estimation
by Perrot-Dockès, Marie & Lévy-Leduc, Céline & Sansonnet, Laure & Chiquet, Julien
- 98-110 Scale and shape mixtures of multivariate skew-normal distributions
by Arellano-Valle, Reinaldo B. & Ferreira, Clécio S. & Genton, Marc G.
- 111-128 Estimation of the parameters of the extended growth curve model under multivariate skew normal distribution
by Jana, Sayantee & Balakrishnan, Narayanaswamy & Hamid, Jemila S.
- 129-149 Spatial modeling of rainfall accumulated over short periods of time
by De Oliveira, Victor & Wang, Binbin & Slud, Eric V.
- 150-159 Strictly positive definite multivariate covariance functions on spheres
by Guella, Jean Carlo & Menegatto, Valdir Antonio & Porcu, Emilio
- 160-181 On the weak convergence of the empirical conditional copula under a simplifying assumption
by Portier, François & Segers, Johan
- 182-197 Semiparametric inference on the means of multiple nonnegative distributions with excess zero observations
by Wang, Chunlin & Marriott, Paul & Li, Pengfei
- 198-211 Higher-order asymptotic theory of shrinkage estimation for general statistical models
by Shiraishi, Hiroshi & Taniguchi, Masanobu & Yamashita, Takashi
- 212-224 Efron’s monotonicity property for measures on R2
by Saumard, Adrien & Wellner, Jon A.
- 225-240 Semiparametric Bayesian analysis of transformation linear mixed models
by Tang, Niansheng & Wu, Ying & Chen, Dan
- 241-265 Angle-based joint and individual variation explained
by Feng, Qing & Jiang, Meilei & Hannig, Jan & Marron, J.S.
- 266-281 Weak convergence of the weighted empirical beta copula process
by Berghaus, Betina & Segers, Johan
- 282-299 Adaptively weighted large-margin angle-based classifiers
by Fu, Sheng & Zhang, Sanguo & Liu, Yufeng
- 300-319 Nonparametric density estimation for spatial data with wavelets
by Krebs, Johannes T.N.
- 320-334 Estimating tail probabilities of the ratio of the largest eigenvalue to the trace of a Wishart matrix
by He, Yinqiu & Xu, Gongjun
- 335-345 Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors
by Qin, Qian & Hobert, James P.
2018, Volume 165, Issue C
- 1-13 Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations
by Zhang, Shucong & Zhou, Yong
- 14-26 The joint projected normal and skew-normal: A distribution for poly-cylindrical data
by Mastrantonio, Gianluca
- 27-55 Single-index copulas
by Fermanian, Jean-David & Lopez, Olivier
- 56-72 Joint asymptotics for estimating the fractal indices of bivariate Gaussian processes
by Zhou, Yuzhen & Xiao, Yimin
- 73-85 Statistics of ambiguous rotations
by Arnold, R. & Jupp, P.E. & Schaeben, H.
- 86-100 A general algorithm for covariance modeling of discrete data
by Popovic, Gordana C. & Hui, Francis K.C. & Warton, David I.
- 101-116 Testing for serial correlation in hierarchical linear models
by Alejo, Javier & Montes-Rojas, Gabriel & Sosa-Escudero, Walter
- 117-131 Multivariate generalized Pareto distributions: Parametrizations, representations, and properties
by Rootzén, Holger & Segers, Johan & Wadsworth, Jennifer L.
- 132-142 On the domain of attraction of a Tracy–Widom law with applications to testing multiple largest roots
by Chételat, Didier & Narayanan, Rajendran & Wells, Martin T.
- 143-165 Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices
by Brault, Vincent & Ouadah, Sarah & Sansonnet, Laure & Lévy-Leduc, Céline
- 166-179 MATS: Inference for potentially singular and heteroscedastic MANOVA
by Friedrich, Sarah & Pauly, Markus
- 180-193 Fisher dispersion index for multivariate count distributions: A review and a new proposal
by Kokonendji, Célestin C. & Puig, Pedro
- 194-215 Risk contagion under regular variation and asymptotic tail independence
by Das, Bikramjit & Fasen-Hartmann, Vicky
- 216-230 Identification problem of transition models for repeated measurement data with nonignorable missing values
by Morikawa, Kosuke & Kano, Yutaka
- 231-242 Multivariate goodness-of-fit on flat and curved spaces via nearest neighbor distances
by Ebner, Bruno & Henze, Norbert & Yukich, Joseph E.
- 243-261 Generalized ridge estimator and model selection criteria in multivariate linear regression
by Mori, Yuichi & Suzuki, Taiji
- 262-269 Minimax linear estimation at a boundary point
by Gao, Wayne Yuan
- 270-278 Distribution of the ratio of two Wishart matrices and cumulative probability evaluation by the holonomic gradient method
by Hashiguchi, Hiroki & Takayama, Nobuki & Takemura, Akimichi
- 279-295 Simultaneous inference for the mean of repeated functional data
by Cao, Guanqun & Wang, Li
2018, Volume 164, Issue C
2018, Volume 163, Issue C
- 1-14 Inverse regression approach to robust nonlinear high-to-low dimensional mapping
by Perthame, Emeline & Forbes, Florence & Deleforge, Antoine
- 15-36 PCA-based estimation for functional linear regression with functional responses
by Imaizumi, Masaaki & Kato, Kengo
- 37-50 Functional envelope for model-free sufficient dimension reduction
by Zhang, Xin & Wang, Chong & Wu, Yichao
- 51-66 Function-on-function regression with thousands of predictive curves
by Qi, Xin & Luo, Ruiyan
- 67-79 Local half-region depth for functional data
by Agostinelli, Claudio
- 80-95 Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Hüsler–Reiß distribution
by Krupskii, Pavel & Joe, Harry & Lee, David & Genton, Marc G.
- 96-110 The Laplace transform (dets)−pexptr(s−1w) and the existence of non-central Wishart distributions
by Letac, Gérard & Massam, Hélène
2017, Volume 161, Issue C
- 1-11 SURE estimates under dependence and heteroscedasticity
by Kong, Xinbing & Liu, Zhi & Zhao, Peng & Zhou, Wang
- 12-31 Sparse representation of multivariate extremes with applications to anomaly detection
by Goix, Nicolas & Sabourin, Anne & Clémençon, Stephan
- 32-57 Multivariate intensity estimation via hyperbolic wavelet selection
by Akakpo, Nathalie
- 58-67 Estimation and incommutativity in mixed models
by Ferreira, Dário & Ferreira, Sandra & Nunes, Célia & Fonseca, Miguel & Silva, Adilson & Mexia, João T.
- 68-82 A class of functional partially linear single-index models
by Ding, Hui & Liu, Yanghui & Xu, Wenchao & Zhang, Riquan
- 83-95 Some high-dimensional one-sample tests based on functions of interpoint distances
by Saha, Enakshi & Sarkar, Soham & Ghosh, Anil K.
- 96-102 Vector quantile regression beyond the specified case
by Carlier, Guillaume & Chernozhukov, Victor & Galichon, Alfred
- 103-122 Variable selection and structure identification for varying coefficient Cox models
by Honda, Toshio & Yabe, Ryota
- 123-140 Assessing skewness, kurtosis and normality in linear mixed models
by Soberón, Alexandra & Stute, Winfried
- 141-156 Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering
by Murray, Paula M. & Browne, Ryan P. & McNicholas, Paul D.
- 157-171 Automated learning of t factor analysis models with complete and incomplete data
by Wang, Wan-Lun & Castro, Luis M. & Lin, Tsung-I
- 172-190 Robust sparse Gaussian graphical modeling
by Hirose, Kei & Fujisawa, Hironori & Sese, Jun
- 191-212 Feature screening in large scale cluster analysis
by Banerjee, Trambak & Mukherjee, Gourab & Radchenko, Peter
2017, Volume 160, Issue C
- 1-9 Extremal properties of order statistic distributions for dependent samples with partially known multidimensional marginals
by Okolewski, Andrzej
- 10-30 Goodness-of-fit tests in semiparametric transformation models using the integrated regression function
by Colling, Benjamin & Van Keilegom, Ingrid
- 31-41 On stochastic comparisons of maximum order statistics from the location-scale family of distributions
by Hazra, Nil Kamal & Kuiti, Mithu Rani & Finkelstein, Maxim & Nanda, Asok K.
- 42-67 Cross-validation estimation of covariance parameters under fixed-domain asymptotics
by Bachoc, François & Lagnoux, Agnès & Nguyen, Thi Mong Ngoc
- 68-92 Extremal attractors of Liouville copulas
by Belzile, Léo R. & Nešlehová, Johanna G.
- 93-104 Nonparametric estimation of a function from noiseless observations at random points
by Bauer, Benedikt & Devroye, Luc & Kohler, Michael & Krzyżak, Adam & Walk, Harro
- 105-116 Model specification test in a semiparametric regression model for longitudinal data
by Cho, Hyunkeun & Kim, Seonjin
- 117-133 A new test of independence for bivariate observations
by Bagkavos, D. & Patil, P.N.
- 134-145 Robust inference in a linear functional model with replications using the t distribution
by Galea, Manuel & de Castro, Mário
- 146-156 On optimal grouping and stochastic comparisons for heterogeneous items
by Hazra, Nil Kamal & Finkelstein, Maxim & Cha, Ji Hwan
- 157-168 Convergence rate of Bayesian supervised tensor modeling with multiway shrinkage priors
by Guhaniyogi, Rajarshi
- 169-184 Optimal detection of weak positive latent dependence between two sequences of multiple tests
by Zhao, Sihai Dave & Cai, T. Tony & Li, Hongzhe
- 185-194 Symmetric Gaussian mixture distributions with GGC scales
by Fotopoulos, Stergios B.
2017, Volume 159, Issue C
- 1-17 Quantile predictions for elliptical random fields
by Maume-Deschamps, V. & Rullière, D. & Usseglio-Carleve, A.
- 18-38 Likelihood ratio test for partial sphericity in high and ultra-high dimensions
by Forzani, Liliana & Gieco, Antonella & Tolmasky, Carlos
- 39-48 Smooth copula-based estimation of the conditional density function with a single covariate
by Janssen, Paul & Swanepoel, Jan & Veraverbeke, Noël
- 49-66 Non-linear models for extremal dependence
by Mhalla, Linda & Chavez-Demoulin, Valérie & Naveau, Philippe
- 67-81 Skew-rotationally-symmetric distributions and related efficient inferential procedures
by Ley, Christophe & Verdebout, Thomas
- 82-110 Asymptotic behavior of the empirical multilinear copula process under broad conditions
by Genest, Christian & Nešlehová, Johanna G. & Rémillard, Bruno
- 111-133 Score tests for covariate effects in conditional copulas
by Gijbels, Irène & Omelka, Marek & Pešta, Michal & Veraverbeke, Noël
- 138-150 Proper Bayes and minimax predictive densities related to estimation of a normal mean matrix
by Tsukuma, Hisayuki & Kubokawa, Tatsuya
- 151-167 Finite mixture modeling of censored data using the multivariate Student-t distribution
by Lachos, Víctor H. & Moreno, Edgar J. López & Chen, Kun & Cabral, Celso Rômulo Barbosa
- 168-183 Varying coefficient functional autoregressive model with application to the U.S. treasuries
by Xu, Meng & Li, Jialiang & Chen, Ying
- 184-199 Multivariate initial sequence estimators in Markov chain Monte Carlo
by Dai, Ning & Jones, Galin L.
2017, Volume 158, Issue C
- 1-19 Domains of weak continuity of statistical functionals with a view toward robust statistics
by Krätschmer, Volker & Schied, Alexander & Zähle, Henryk
- 20-30 Reduced form vector directional quantiles
by Montes-Rojas, Gabriel
- 31-46 Dirichlet ARMA models for compositional time series
by Zheng, Tingguo & Chen, Rong
- 47-59 A new minimum contrast approach for inference in single-index models
by Li, Weiyu & Patilea, Valentin
- 60-72 Unbiased risk estimates for matrix estimation in the elliptical case
by Canu, Stéphane & Fourdrinier, Dominique
- 73-86 Estimation of parameters under a generalized growth curve model
by Filipiak, Katarzyna & Klein, Daniel
- 87-102 Copula-based representations for the reliability of the residual lifetimes of coherent systems with dependent components
by Navarro, Jorge & Durante, Fabrizio
- 103-116 Nonparametric tests for multi-parameter M-estimators
by Kolassa, John E. & Robinson, John
2017, Volume 157, Issue C
- 1-13 Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model
by Devijver, Emilie
- 14-28 Bayesian sparse reduced rank multivariate regression
by Goh, Gyuhyeong & Dey, Dipak K. & Chen, Kun
- 29-44 Multivariate elliptical truncated moments
by Arismendi, Juan C. & Broda, Simon
- 45-52 A calibration method for non-positive definite covariance matrix in multivariate data analysis
by Huang, Chao & Farewell, Daniel & Pan, Jianxin
- 53-69 A weighted localization of halfspace depth and its properties
by Kotík, Lukáš & Hlubinka, Daniel
- 70-86 High-dimensional asymptotic behavior of the difference between the log-determinants of two Wishart matrices
by Yanagihara, Hirokazu & Oda, Ryoya & Hashiyama, Yusuke & Fujikoshi, Yasunori
- 87-102 Multiple correspondence analysis and the multilogit bilinear model
by Fithian, William & Josse, Julie
- 103-114 Bayesian inference for higher-order ordinary differential equation models
by Bhaumik, Prithwish & Ghosal, Subhashis
- 115-123 Exactly and almost compatible joint distributions for high-dimensional discrete conditional distributions
by Kuo, Kun-Lin & Song, Chwan-Chin & Jiang, Thomas J.
- 124-135 Asymptotic Fisher information matrix of Markov switching VARMA models
by Cavicchioli, Maddalena
2017, Volume 156, Issue C
- 1-17 A statistical framework for pathway and gene identification from integrative analysis
by Li, Quefeng & Yu, Menggang & Wang, Sijian
- 18-28 Bayesian prediction with multiple-samples information
by Camerlenghi, Federico & Lijoi, Antonio & Prünster, Igor
- 29-38 Distribution-free detection of a submatrix
by Arias-Castro, Ery & Liu, Yuchao
- 39-56 Regularized partially functional quantile regression
by Yao, Fang & Sue-Chee, Shivon & Wang, Fan
- 57-69 Moderate deviation principles for classical likelihood ratio tests of high-dimensional normal distributions
by Jiang, Hui & Wang, Shaochen
- 70-88 High-dimensional tests for functional networks of brain anatomic regions
by Xie, Jichun & Kang, Jian