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Content
2014, Volume 73, Issue C
- 146-162 Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects
by Karl, Andrew T. & Yang, Yan & Lohr, Sharon L.
- 163-176 Mean field variational Bayesian inference for support vector machine classification
by Luts, Jan & Ormerod, John T.
- 177-188 A Bayesian semiparametric regression model for reliability data using effective age
by Li, Li & Hanson, Timothy E.
- 189-204 Modelling trends in road accident frequency— Bayesian inference for rates with uncertain exposure
by Lloyd, Louise K. & Forster, Jonathan J.
2014, Volume 72, Issue C
- 1-12 Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs
by Huang, Hengzhen & Yang, Jinyu & Liu, Min-Qian
- 13-29 Unimodal density estimation using Bernstein polynomials
by Turnbull, Bradley C. & Ghosh, Sujit K.
- 30-44 Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction
by Bonneau, Mathieu & Gaba, Sabrina & Peyrard, Nathalie & Sabbadin, Régis
- 45-56 Testing constancy in monotone response models
by Colubi, Ana & Domínguez-Menchero, J. Santos & González-Rodríguez, Gil
- 57-76 Nonparametric kernel density estimation near the boundary
by Malec, Peter & Schienle, Melanie
- 77-91 Inference for longitudinal data with nonignorable nonmonotone missing responses
by Sinha, Sanjoy K. & Kaushal, Amit & Xiao, Wenzhong
- 92-104 Recursive partitioning for missing data imputation in the presence of interaction effects
by Doove, L.L. & Van Buuren, S. & Dusseldorp, E.
- 105-127 Time-efficient estimation of conditional mutual information for variable selection in classification
by Todorov, Diman & Setchi, Rossi
- 128-146 Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation
by Drovandi, Christopher C. & Pettitt, Anthony N. & Henderson, Robert D. & McCombe, Pamela A.
- 147-157 Bayesian test on equality of score parameters in the order restricted RC association model
by Oh, Man-Suk
- 158-175 Nonparametric variable selection and classification: The CATCH algorithm
by Tang, Shijie & Chen, Lisha & Tsui, Kam-Wah & Doksum, Kjell
- 176-189 An ExPosition of multivariate analysis with the singular value decomposition in R
by Beaton, Derek & Chin Fatt, Cherise R. & Abdi, Hervé
- 190-204 Nonparametric estimation of the tree structure of a nested Archimedean copula
by Segers, Johan & Uyttendaele, Nathan
- 205-218 Automated learning of factor analysis with complete and incomplete data
by Zhao, Jianhua & Shi, Lei
- 219-226 Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases
by Franklin, Jessica M. & Schneeweiss, Sebastian & Polinski, Jennifer M. & Rassen, Jeremy A.
- 227-240 Approximate inference for spatial functional data on massively parallel processors
by Rakêt, Lars Lau & Markussen, Bo
- 241-251 Power and sample size calculations for Poisson and zero-inflated Poisson regression models
by Channouf, Nabil & Fredette, Marc & MacGibbon, Brenda
- 252-272 Sequential Monte Carlo EM for multivariate probit models
by Moffa, Giusi & Kuipers, Jack
- 273-281 The jackknife’s edge: Inference for censored regression quantiles
by Portnoy, Stephen
- 282-297 Discrete particle swarm optimization for constructing uniform design on irregular regions
by Chen, Ray-Bing & Hsu, Yen-Wen & Hung, Ying & Wang, Weichung
- 298-314 A generalized multiple-try version of the Reversible Jump algorithm
by Pandolfi, Silvia & Bartolucci, Francesco & Friel, Nial
- 315-327 Covariance structure regularization via entropy loss function
by Lin, Lijing & Higham, Nicholas J. & Pan, Jianxin
2014, Volume 71, Issue C
- 3-13 Model based clustering of customer choice data
by Vicari, Donatella & Alfó, Marco
- 14-29 Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data
by Coffey, N. & Hinde, J. & Holian, E.
- 30-42 A new semi-parametric mixture model for interval censored data, with applications in the field of antimicrobial resistance
by Jaspers, Stijn & Aerts, Marc & Verbeke, Geert & Beloeil, Pierre-Alexandre
- 43-51 Mixture models for clustering multilevel growth trajectories
by Ng, S.K. & McLachlan, G.J.
- 52-78 Model-based clustering of high-dimensional data: A review
by Bouveyron, Charles & Brunet-Saumard, Camille
- 79-91 A hierarchical modeling approach for clustering probability density functions
by Calò, Daniela G. & Montanari, Angela & Viroli, Cinzia
- 92-106 Model-based clustering for multivariate functional data
by Jacques, Julien & Preda, Cristian
- 107-115 A combined likelihood ratio/information ratio bootstrap technique for estimating the number of components in finite mixtures
by Polymenis, Athanase
- 116-127 Robust mixture regression using the t-distribution
by Yao, Weixin & Wei, Yan & Yu, Chun
- 128-137 Robust mixture regression model fitting by Laplace distribution
by Song, Weixing & Yao, Weixin & Xing, Yanru
- 138-150 A multivariate linear regression analysis using finite mixtures of t distributions
by Galimberti, Giuliano & Soffritti, Gabriele
- 151-158 Zero-inflated Poisson regression mixture model
by Lim, Hwa Kyung & Li, Wai Keung & Yu, Philip L.H.
- 159-182 Model-based clustering via linear cluster-weighted models
by Ingrassia, Salvatore & Minotti, Simona C. & Punzo, Antonio
- 183-195 Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition
by Lin, Tsung-I
- 196-210 Parsimonious skew mixture models for model-based clustering and classification
by Vrbik, Irene & McNicholas, Paul D.
- 211-219 Nonparametric estimation of the mixing distribution in logistic regression mixed models with random intercepts and slopes
by Lesperance, Mary & Saab, Rabih & Neuhaus, John
- 220-240 Robust growth mixture models with non-ignorable missingness: Models, estimation, selection, and application
by Lu, Zhenqiu (Laura) & Zhang, Zhiyong
- 241-261 Multivariate methods using mixtures: Correspondence analysis, scaling and pattern-detection
by Pledger, Shirley & Arnold, Richard
- 262-272 Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data
by Bacci, Silvia & Bartolucci, Francesco
- 274-287 State space mixed models for binary responses with scale mixture of normal distributions links
by Abanto-Valle, Carlos A. & Dey, Dipak K.
- 288-297 Optimal sequential designs in phase I studies
by Azriel, David
- 298-323 Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models
by Bekiros, Stelios D. & Paccagnini, Alessia
- 324-334 A hierarchical Bayes model for biomarker subset effects in clinical trials
by Chen, Bingshu E. & Jiang, Wenyu & Tu, Dongsheng
- 335-346 Bayesian nonparametric k-sample tests for censored and uncensored data
by Chen, Yuhui & Hanson, Timothy E.
- 347-358 Fast Bayesian model assessment for nonparametric additive regression
by McKay Curtis, S. & Banerjee, Sayantan & Ghosal, Subhashis
- 359-374 Characterising economic trends by Bayesian stochastic model specification search
by Grassi, S. & Proietti, T.
- 375-391 An evolutionary Monte Carlo algorithm for Bayesian block clustering of data matrices
by Gupta, Mayetri
- 392-401 Computation of marginal likelihoods with data-dependent support for latent variables
by Heaps, Sarah E. & Boys, Richard J. & Farrow, Malcolm
- 402-416 Use of SAMC for Bayesian analysis of statistical models with intractable normalizing constants
by Jin, Ick Hoon & Liang, Faming
- 417-433 Dependent mixture models: Clustering and borrowing information
by Lijoi, Antonio & Nipoti, Bernardo & Prünster, Igor
- 434-447 Simulation-based Bayesian inference for epidemic models
by McKinley, Trevelyan J. & Ross, Joshua V. & Deardon, Rob & Cook, Alex R.
- 448-463 Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses
by Mulder, Joris
- 464-476 Bayesian binary regression with exponential power link
by Naranjo, L. & Martín, J. & Pérez, C.J.
- 477-490 Bayesian semiparametric analysis of short- and long-term hazard ratios with covariates
by Nieto-Barajas, Luis E.
- 491-505 Mixtures of experts for understanding model discrepancy in dynamic computer models
by Nott, David J. & Marshall, Lucy & Fielding, Mark & Liong, Shie-Yui
- 506-519 A Bayesian model for longitudinal circular data based on the projected normal distribution
by Nuñez-Antonio, Gabriel & Gutiérrez-Peña, Eduardo
- 520-529 One-sample Bayes inference for symmetric distributions of 3-D rotations
by Qiu, Yu & Nordman, Daniel J. & Vardeman, Stephen B.
- 530-541 Bayesian analysis of a Gibbs hard-core point pattern model with varying repulsion range
by Rajala, T. & Penttinen, A.
- 542-567 Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization
by Sabourin, Anne & Naveau, Philippe
- 568-587 Bayesian analysis of tail asymmetry based on a threshold extreme value model
by So, Mike K.P. & Chan, Raymond K.S.
- 588-598 Incorporation of gene exchangeabilities improves the reproducibility of gene set rankings
by Soneson, Charlotte & Fontes, Magnus
- 599-614 Modelling species abundance in a river by Negative Binomial hidden Markov models
by Spezia, L. & Cooksley, S.L. & Brewer, M.J. & Donnelly, D. & Tree, A.
- 615-632 Reversible jump MCMC for nonparametric drift estimation for diffusion processes
by van der Meulen, Frank & Schauer, Moritz & van Zanten, Harry
- 633-642 Linear Bayes estimator for the two-parameter exponential family under type II censoring
by Wang, Lichun & Singh, Radhey S.
- 643-651 GPU accelerated MCMC for modeling terrorist activity
by White, Gentry & Porter, Michael D.
- 654-666 Hypercube estimators: Penalized least squares, submodel selection, and numerical stability
by Beran, Rudolf
- 667-680 Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations
by Blommaert, A. & Hens, N. & Beutels, Ph.
- 681-693 Analysis of feature selection stability on high dimension and small sample data
by Dernoncourt, David & Hanczar, Blaise & Zucker, Jean-Daniel
- 694-708 On selecting interacting features from high-dimensional data
by Hall, Peter & Xue, Jing-Hao
- 709-724 Linear instrumental variables model averaging estimation
by Martins, Luis F. & Gabriel, Vasco J.
- 725-742 Using random subspace method for prediction and variable importance assessment in linear regression
by Mielniczuk, Jan & Teisseyre, Paweł
- 743-757 LOL selection in high dimension
by Mougeot, M. & Picard, D. & Tribouley, K.
- 758-770 Model selection and model averaging after multiple imputation
by Schomaker, Michael & Heumann, Christian
- 771-786 Sparse group lasso and high dimensional multinomial classification
by Vincent, Martin & Hansen, Niels Richard
- 789-802 Classification with decision trees from a nonparametric predictive inference perspective
by Abellán, Joaquín & Baker, Rebecca M. & Coolen, Frank P.A. & Crossman, Richard J. & Masegosa, Andrés R.
- 803-817 Bootstrap confidence sets for the Aumann mean of a random closed set
by Choirat, Christine & Seri, Raffaello
- 818-831 Credal ensembles of classifiers
by Corani, G. & Antonucci, A.
- 832-848 Estimating mutual information for feature selection in the presence of label noise
by Frénay, Benoît & Doquire, Gauthier & Verleysen, Michel
- 849-858 Computational issues of generalized fiducial inference
by Hannig, Jan & Lai, Randy C.S. & Lee, Thomas C.M.
- 859-867 Optimal experimental designs for partial likelihood information
by López-Fidalgo, J. & Rivas-López, M.J.
- 868-886 Stochastic dominance with imprecise information
by Montes, Ignacio & Miranda, Enrique & Montes, Susana
- 889-902 Reduced-rank vector generalized linear models with two linear predictors
by Yee, Thomas W.
- 903-913 Transform both sides model: A parametric approach
by Polpo, A. & de Campos, C.P. & Sinha, D. & Lipsitz, S. & Lin, J.
- 914-933 Maximum likelihood estimation of spatially and serially correlated panels with random effects
by Millo, Giovanni
- 934-954 Basic Singular Spectrum Analysis and forecasting with R
by Golyandina, Nina & Korobeynikov, Anton
- 955-970 Parameter estimation for the 4-parameter Asymmetric Exponential Power distribution by the method of L-moments using R
by Asquith, William H.
- 971-985 MultiLCIRT: An R package for multidimensional latent class item response models
by Bartolucci, Francesco & Bacci, Silvia & Gnaldi, Michela
- 986-1000 (Psycho-)analysis of benchmark experiments: A formal framework for investigating the relationship between data sets and learning algorithms
by Eugster, Manuel J.A. & Leisch, Friedrich & Strobl, Carolin
- 1001-1010 Discretization-based direct random sample generation
by Wang, Liqun & Lee, Chel Hee
- 1011-1020 Generating beta random numbers and Dirichlet random vectors in R: The package rBeta2009
by Cheng, Ching-Wei & Hung, Ying-Chao & Balakrishnan, Narayanaswamy
- 1021-1034 KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging
by Chevalier, Clément & Picheny, Victor & Ginsbourger, David
- 1035-1053 Noisy kriging-based optimization methods: A unified implementation within the DiceOptim package
by Picheny, Victor & Ginsbourger, David
- 1054-1063 RcppArmadillo: Accelerating R with high-performance C++ linear algebra
by Eddelbuettel, Dirk & Sanderson, Conrad
- 1066-1076 Bayesian D-optimal designs for the two parameter logistic mixed effects model
by Abebe, Haftom T. & Tan, Frans E.S. & Van Breukelen, Gerard J.P. & Berger, Martijn P.F.
- 1077-1087 Experimental designs for drug combination studies
by Almohaimeed, B. & Donev, A.N.
- 1088-1102 Optimal design for correlated processes with input-dependent noise
by Boukouvalas, A. & Cornford, D. & Stehlík, M.
- 1103-1112 ‘Nearly’ universally optimal designs for models with correlated observations
by Dette, Holger & Pepelyshev, Andrey & Zhigljavsky, Anatoly
- 1113-1123 Algorithms for approximate linear regression design with application to a first order model with heteroscedasticity
by Gaffke, N. & Graßhoff, U. & Schwabe, R.
- 1124-1133 A class of composite designs for response surface methodology
by Georgiou, Stelios D. & Stylianou, Stella & Aggarwal, Manohar
- 1134-1146 An efficient procedure for the avoidance of disconnected incomplete block designs
by Godolphin, J.D. & Warren, H.R.
- 1147-1158 Augmenting supersaturated designs with Bayesian D-optimality
by Gutman, Alex J. & White, Edward D. & Lin, Dennis K.J. & Hill, Raymond R.
- 1159-1167 Computing efficient exact designs of experiments using integer quadratic programming
by Harman, Radoslav & Filová, Lenka
- 1168-1177 Construction of experimental designs for estimating variance components
by Loeza-Serrano, S. & Donev, A.N.
- 1178-1192 Optimal designed experiments using a Pareto front search for focused preference of multiple objectives
by Lu, Lu & Anderson-Cook, Christine M. & Lin, Dennis K.J.
- 1193-1207 A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments
by Sambo, Francesco & Borrotti, Matteo & Mylona, Kalliopi
- 1208-1220 Integral approximations for computing optimum designs in random effects logistic regression models
by Tommasi, C. & Rodríguez-Díaz, J.M. & Santos-Martín, M.T.
2014, Volume 70, Issue C
- 1-18 Automating the analysis of variance of orthogonal designs
by Großmann, Heiko
- 19-34 An EM algorithm for the model fitting of Markovian binary trees
by Hautphenne, Sophie & Fackrell, Mark
- 35-44 Simultaneous adjustment of bias and coverage probabilities for confidence intervals
by Menéndez, P. & Fan, Y. & Garthwaite, P.H. & Sisson, S.A.
- 45-60 Towards Bayesian experimental design for nonlinear models that require a large number of sampling times
by Ryan, Elizabeth G. & Drovandi, Christopher C. & Thompson, M. Helen & Pettitt, Anthony N.
- 61-66 Factor analysis parameter estimation from incomplete data
by Roberts, W.J.J.
- 67-87 Discriminant analysis of multivariate time series: Application to diagnosis based on ECG signals
by Maharaj, Elizabeth Ann & Alonso, Andrés M.
- 88-100 Fast regularized canonical correlation analysis
by Cruz-Cano, Raul & Lee, Mei-Ling Ting
- 101-115 Semiparametric empirical likelihood confidence intervals for AUC under a density ratio model
by Wang, Suohong & Zhang, Biao
- 116-126 Nonnegative-lasso and application in index tracking
by Wu, Lan & Yang, Yuehan & Liu, Hanzhong
- 127-137 Test for homogeneity in gamma mixture models using likelihood ratio
by Wong, Tony Siu Tung & Li, Wai Keung
- 138-152 Edge detection in sparse Gaussian graphical models
by Luo, Shan & Chen, Zehua
- 153-171 Testing for heteroskedasticity and spatial correlation in a two way random effects model
by Kouassi, Eugene & Mougoué, Mbodja & Sango, Joel & Bosson Brou, J.M. & Amba, Claude M.O. & Salisu, Afeez Adebare
- 172-182 Functional k-means inverse regression
by Wang, Guochang & Lin, Nan & Zhang, Baoxue
- 183-197 Model detection for functional polynomial regression
by Zhang, Tao & Zhang, Qingzhao & Wang, Qihua
- 198-211 Stabilizing the lasso against cross-validation variability
by Roberts, S. & Nowak, G.
- 212-226 Dynamic seasonality in time series
by So, Mike K.P. & Chung, Ray S.W.
- 227-240 The effect of the prior distribution in the Bayesian Adjustment for Confounding algorithm
by Lefebvre, Geneviève & Atherton, Juli & Talbot, Denis
- 241-256 Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear single-index model
by Lai, Peng & Wang, Qihua & Zhou, Xiao-Hua
- 257-267 An ANOVA test for parameter estimability using data cloning with application to statistical inference for dynamic systems
by Campbell, David & Lele, Subhash
- 268-280 Information criteria for Fay–Herriot model selection
by Marhuenda, Yolanda & Morales, Domingo & del Carmen Pardo, María
- 281-294 A graph theoretic approach to simulation and classification
by Kouritzin, Michael A. & Newton, Fraser & Wu, Biao
- 295-307 Cox proportional hazards models with frailty for negatively correlated employment processes
by Xu, Wenjing & Pan, Qing & Gastwirth, Joseph L.
- 308-327 On wavelet-based testing for serial correlation of unknown form using Fan’s adaptive Neyman method
by Li, Linyuan & Yao, Shan & Duchesne, Pierre
- 328-344 A cluster analysis of vote transitions
by Puig, Xavier & Ginebra, Josep
- 345-361 Polarization of forecast densities: A new approach to time series classification
by Liu, Shen & Maharaj, Elizabeth Ann & Inder, Brett
- 362-372 Estimator selection and combination in scalar-on-function regression
by Goldsmith, Jeff & Scheipl, Fabian
- 373-386 A robust algorithm for template curve estimation based on manifold embedding
by Dimeglio, Chloé & Gallón, Santiago & Loubes, Jean-Michel & Maza, Elie
- 387-394 On the optimally weighted z-test for combining probabilities from independent studies
by Chen, Zhongxue & Nadarajah, Saralees
- 395-405 Asymmetric least squares support vector machine classifiers
by Huang, Xiaolin & Shi, Lei & Suykens, Johan A.K.
2014, Volume 69, Issue C
- 1-14 Finding the optimal cut-point for Gaussian and Gamma distributed biomarkers
by Rota, Matteo & Antolini, Laura
- 15-39 Statistical study of asymmetry in cell lineage data
by de Saporta, Benoîte & Gégout-Petit, Anne & Marsalle, Laurence
- 40-53 On the choice of test for a unit root when the errors are conditionally heteroskedastic
by Westerlund, Joakim
- 54-66 Finding multivariate outliers with FastPCS
by Vakili, Kaveh & Schmitt, Eric
- 67-80 The gamma-normal distribution: Properties and applications
by Alzaatreh, Ayman & Famoye, Felix & Lee, Carl
- 81-91 Flexible modeling of survival data with covariates subject to detection limits via multiple imputation
by Bernhardt, Paul W. & Wang, Huixia Judy & Zhang, Daowen
- 92-100 Goodness of fit test for discrete random variables
by Lee, Sangyeol
- 101-113 Optimizing parameters in clinical trials with a randomized start or withdrawal design
by Xiong, Chengjie & Luo, Jingqin & Gao, Feng & Morris, John C.
- 114-121 A GEE approach to determine sample size for pre- and post-intervention experiments with dropout
by Zhang, Song & Cao, Jing & Ahn, Chul
- 122-132 Inclusion probabilities in partially rank ordered set sampling
by Ozturk, Omer & Jafari Jozani, Mohammad
- 133-140 Simultaneous confidence intervals for ratios of means of several lognormal distributions: A parametric bootstrap approach
by Sadooghi-Alvandi, S.M. & Malekzadeh, A.
- 141-153 Information criteria: How do they behave in different models?
by Emiliano, Paulo C. & Vivanco, Mário J.F. & de Menezes, Fortunato S.
- 154-172 Recursive estimation of nonparametric regression with functional covariate
by Amiri, Aboubacar & Crambes, Christophe & Thiam, Baba
- 173-183 Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm
by Fu, Liyong & Wang, Mingliang & Lei, Yuancai & Tang, Shouzheng
- 184-197 Alternatives to the usual likelihood ratio test in mixed linear models
by Stein, Markus Chagas & da Silva, Michel Ferreira & Duczmal, Luiz Henrique
- 198-207 Examining deterrence of adult sex crimes: A semi-parametric intervention time-series approach
by Park, Jin-Hong & Bandyopadhyay, Dipankar & Letourneau, Elizabeth
- 208-219 Interquantile shrinkage and variable selection in quantile regression
by Jiang, Liewen & Bondell, Howard D. & Wang, Huixia Judy
- 220-227 Bootstrap corrections of treatment effect estimates following selection
by Rosenkranz, Gerd K.
- 228-242 Dimension reduction with missing response at random
by Guo, Xu & Wang, Tao & Xu, Wangli & Zhu, Lixing
- 243-254 Approximate conditional least squares estimation of a nonlinear state-space model via an unscented Kalman filter
by Ahn, Kwang Woo & Chan, Kung-Sik
- 255-268 Pairwise dynamic time warping for event data
by Arribas-Gil, Ana & Müller, Hans-Georg
2013, Volume 67, Issue C
- 1-14 Searching for a common pooling pattern among several samples
by Álvarez-Esteban, P.C. & del Barrio, E. & Cuesta-Albertos, J.A. & Matrán, C.
- 15-24 Moment adjusted imputation for multivariate measurement error data with applications to logistic regression
by Thomas, Laine & Stefanski, Leonard A. & Davidian, Marie
- 25-40 The spurious regression of AR(p) infinite-variance sequence in the presence of structural breaks
by Jin, Hao & Zhang, Jinsuo & Zhang, Si & Yu, Cong
- 41-67 Lognormal lifetimes and likelihood-based inference for flexible cure rate models based on COM-Poisson family
by Balakrishnan, N. & Pal, Suvra
- 68-83 Bayesian computing with INLA: New features
by Martins, Thiago G. & Simpson, Daniel & Lindgren, Finn & Rue, Håvard
- 84-94 Robust methods for inferring sparse network structures
by Vinciotti, Veronica & Hashem, Hussein
- 95-104 A method for detecting hidden additivity in two-factor unreplicated experiments
by Franck, Christopher T. & Nielsen, Dahlia M. & Osborne, Jason A.
- 105-114 Entropy-based sliced inverse regression
by Hino, Hideitsu & Wakayama, Keigo & Murata, Noboru
- 115-135 A variant of the parallel model for sample surveys with sensitive characteristics
by Liu, Yin & Tian, Guo-Liang
- 136-148 Sparse high-dimensional fractional-norm support vector machine via DC programming
by Guan, Wei & Gray, Alexander
- 149-161 Robust fitting of a Weibull model with optional censoring
by Yang, Jingjing & Scott, David W.
- 162-174 Nonparametric feature screening
by Lin, Lu & Sun, Jing & Zhu, Lixing
- 175-184 Combining functions and the closure principle for performing follow-up tests in functional analysis of variance
by Vsevolozhskaya, O.A. & Greenwood, M.C. & Bellante, G.J. & Powell, S.L. & Lawrence, R.L. & Repasky, K.S.
- 185-198 Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density
by Shang, Han Lin
- 199-212 Partially linear single index Cox regression model in nested case-control studies
by Shang, Shulian & Liu, Mengling & Zeleniuch-Jacquotte, Anne & Clendenen, Tess V. & Krogh, Vittorio & Hallmans, Goran & Lu, Wenbin
- 213-225 Some properties of multivariate INAR(1) processes
by Pedeli, Xanthi & Karlis, Dimitris
- 226-235 Comparison of MCMC algorithms for the estimation of Tobit model with non-normal error: The case of asymmetric Laplace distribution
by Wichitaksorn, Nuttanan & Tsurumi, Hiroki
- 236-247 Introduction to face recognition and evaluation of algorithm performance
by Givens, G.H. & Beveridge, J.R. & Phillips, P.J. & Draper, B. & Lui, Y.M. & Bolme, D.
- 248-257 A semi-parametric approach to analysis of event duration and prevalence
by Wang, Jixian & Quartey, George
- 258-267 Contaminated Variance–Mean mixing model
by Fung, Thomas & Wang, Joanna J.J. & Seneta, Eugene
- 268-281 Estimation using hybrid censored data from a two-parameter distribution with bathtub shape
by Rastogi, Manoj Kumar & Tripathi, Yogesh Mani
- 282-298 Least-squares estimation of a convex discrete distribution
by Durot, Cécile & Huet, Sylvie & Koladjo, François & Robin, Stéphane
2013, Volume 66, Issue C
- 1-7 Two algorithms for fitting constrained marginal models
by Evans, R.J. & Forcina, A.
- 8-18 OLS with multiple high dimensional category variables
by Gaure, Simen
- 19-31 Inference for variograms
by Bowman, Adrian W. & Crujeiras, Rosa M.
- 32-54 Logistic regression with outcome and covariates missing separately or simultaneously
by Hsieh, Shu-Hui & Li, Chin-Shang & Lee, Shen-Ming
- 55-69 Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
by Bachoc, François
- 70-81 Nonparametric meta-analysis of independent samples of records
by Amini, Morteza & Balakrishnan, N.
- 82-88 Multidimensional medians and uniqueness
by Zuo, Yijun
- 89-100 M-type smoothing spline estimators for principal functions
by Lee, Seokho & Shin, Hyejin & Billor, Nedret
- 101-116 Empirical likelihood inference for mean functionals with nonignorably missing response data
by Zhao, Hui & Zhao, Pu-Ying & Tang, Nian-Sheng
- 117-128 Optimisation of interacting particle systems for rare event estimation
by Morio, Jérôme & Jacquemart, Damien & Balesdent, Mathieu & Marzat, Julien
- 129-139 Estimating a unitary effect summary based on combined survival and quantitative outcomes
by Lin, Huazhen & Li, Yi & Tan, Ming T.
- 140-149 Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data
by Wang, Cheng & Cao, Longbing & Miao, Baiqi
- 150-160 Statistical inference for partially linear stochastic models with heteroscedastic errors
by Wang, Xiaoguang & Lu, Dawei & Song, Lixin
- 161-177 Conjugate and conditional conjugate Bayesian analysis of discrete graphical models of marginal independence
by Ntzoufras, Ioannis & Tarantola, Claudia