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Content
2016, Volume 98, Issue C
- 31-45 Destructive weighted Poisson cure rate models with bivariate random effects: Classical and Bayesian approaches
by Gallardo, Diego I. & Bolfarine, Heleno & Pedroso-de-Lima, Antonio Carlos
- 46-59 High dimensional classifiers in the imbalanced case
by Bak, Britta Anker & Jensen, Jens Ledet
- 60-70 A powerful FDR control procedure for multiple hypotheses
by Zhao, Haibing & Fung, Wing Kam
- 71-78 Regression correlation coefficient for a Poisson regression model
by Takahashi, Akihito & Kurosawa, Takeshi
- 79-90 Using hierarchical centering to facilitate a reversible jump MCMC algorithm for random effects models
by Oedekoven, C.S. & King, R. & Buckland, S.T. & Mackenzie, M.L. & Evans, K.O. & Burger, L.W.
- 91-104 Estimating extreme tail risk measures with generalized Pareto distribution
by Park, Myung Hyun & Kim, Joseph H.T.
2016, Volume 97, Issue C
- 1-15 Mixture of functional linear models and its application to CO2-GDP functional data
by Wang, Shaoli & Huang, Mian & Wu, Xing & Yao, Weixin
- 16-32 Fast computation of reconciled forecasts for hierarchical and grouped time series
by Hyndman, Rob J. & Lee, Alan J. & Wang, Earo
- 33-46 A unifying approach to the shape and change-point hypotheses in the discrete univariate exponential family
by Hirotsu, Chihiro & Yamamoto, Shoichi & Tsuruta, Harukazu
- 47-59 Semiparametric regression analysis of panel count data allowing for within-subject correlation
by Yao, Bin & Wang, Lianming & He, Xin
- 60-70 Natural coordinate descent algorithm for L1-penalised regression in generalised linear models
by Michoel, Tom
- 71-86 An exact approach to Bayesian sequential change point detection
by Ruggieri, Eric & Antonellis, Marcus
- 87-97 A high-dimension two-sample test for the mean using cluster subspaces
by Zhang, Jie & Pan, Meng
- 98-113 Sequentially Constrained Monte Carlo
by Golchi, Shirin & Campbell, David A.
- 114-132 Multivariate models for dependent clusters of variables with conditional independence given aggregation variables
by Joe, Harry & Sang, Peijun
- 133-150 Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures
by Morris, Katherine & McNicholas, Paul D.
- 151-168 Robust testing for superiority between two regression curves
by Boente, Graciela & Pardo-Fernández, Juan Carlos
- 169-183 A bivariate Birnbaum–Saunders regression model
by Vilca, Filidor & Romeiro, Renata G. & Balakrishnan, N.
2016, Volume 96, Issue C
- 1-11 The Expectation–Maximization approach for Bayesian quantile regression
by Zhao, Kaifeng & Lian, Heng
- 12-23 HHCART: An oblique decision tree
by Wickramarachchi, D.C. & Robertson, B.L. & Reale, M. & Price, C.J. & Brown, J.
- 24-39 Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error
by Qin, Guoyou & Zhang, Jiajia & Zhu, Zhongyi
- 40-56 Estimation and variable selection for proportional response data with partially linear single-index models
by Zhao, Weihua & Lian, Heng & Zhang, Riquan & Lai, Peng
- 57-73 Random forest for ordinal responses: Prediction and variable selection
by Janitza, Silke & Tutz, Gerhard & Boulesteix, Anne-Laure
- 74-86 Estimation of survival and capture probabilities in open population capture–recapture models when covariates are subject to measurement error
by Stoklosa, Jakub & Dann, Peter & Huggins, Richard M. & Hwang, Wen-Han
- 87-103 Structured variable selection via prior-induced hierarchical penalty functions
by Yen, Tso-Jung & Yen, Yu-Min
- 104-119 Regularized estimation for the least absolute relative error models with a diverging number of covariates
by Xia, Xiaochao & Liu, Zhi & Yang, Hu
- 120-132 Frequentist nonparametric goodness-of-fit tests via marginal likelihood ratios
by Hart, Jeffrey D. & Choi, Taeryon & Yi, Seongbaek
- 133-144 Bayesian analysis of two-piece location–scale models under reference priors with partial information
by Tu, Shiyi & Wang, Min & Sun, Xiaoqian
- 145-158 Graph-theoretic multisample tests of equality in distribution for high dimensional data
by Petrie, Adam
2016, Volume 95, Issue C
- 1-16 Bayesian variable selection for finite mixture model of linear regressions
by Lee, Kuo-Jung & Chen, Ray-Bing & Wu, Ying Nian
- 17-23 Local computations of the iterative proportional scaling procedure for hierarchical models
by Xu, Ping-Feng & Sun, Jubo & Shan, Na
- 24-38 Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models
by Lee, Min Cherng & Mitra, Robin
- 39-56 A Bayesian hierarchical model for spatial extremes with multiple durations
by Wang, Yixin & So, Mike K.P.
- 57-74 A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions
by Koblents, Eugenia & Míguez, Joaquín & Rodríguez, Marco A. & Schmidt, Alexandra M.
- 75-82 Testing the order of a population spectral distribution for high-dimensional data
by Qin, Yingli & Li, Weiming
- 83-94 On Moran’s I coefficient under heterogeneity
by Zhang, Tonglin & Lin, Ge
- 95-108 Comparison of linear shrinkage estimators of a large covariance matrix in normal and non-normal distributions
by Ikeda, Yuki & Kubokawa, Tatsuya & Srivastava, Muni S.
- 109-121 On quadratic logistic regression models when predictor variables are subject to measurement error
by Stoklosa, Jakub & Huang, Yih-Huei & Furlan, Elise & Hwang, Wen-Han
- 122-132 Confidence intervals for the ratio of two Poisson rates under one-way differential misclassification using double sampling
by Kahle, David J. & Young, Phil D. & Greer, Brandi A. & Young, Dean M.
- 133-149 Hierarchical independent component analysis: A multi-resolution non-orthogonal data-driven basis
by Secchi, Piercesare & Vantini, Simone & Zanini, Paolo
- 150-160 Comparing conditional survival functions with missing population marks in a competing risks model
by Bandyopadhyay, Dipankar & Jácome, M. Amalia
- 161-175 A time dependent Bayesian nonparametric model for air quality analysis
by Gutiérrez, Luis & Mena, Ramsés H. & Ruggiero, Matteo
- 176-191 Case deletion diagnostics for GMM estimation
by Shi, Lei & Lu, Jun & Zhao, Jianhua & Chen, Gemai
- 192-206 Exploratory failure time analysis in large scale genomics
by Cheng, Cheng
- 207-221 A SAEM algorithm for fused lasso penalized NonLinear Mixed Effect Models: Application to group comparison in pharmacokinetics
by Ollier, Edouard & Samson, Adeline & Delavenne, Xavier & Viallon, Vivian
- 222-239 Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits
by He, Qianchuan & Kong, Linglong & Wang, Yanhua & Wang, Sijian & Chan, Timothy A. & Holland, Eric
- 243-258 Fast computation of large scale marginal extremes with multi-dimensional covariates
by Raghupathi, Laks & Randell, David & Ewans, Kevin & Jonathan, Philip
2016, Volume 94, Issue C
- 1-19 Nonlinear expectile regression with application to Value-at-Risk and expected shortfall estimation
by Kim, Minjo & Lee, Sangyeol
- 20-32 A triplot for multiclass classification visualisation
by Gardner-Lubbe, Sugnet
- 33-48 Principal minimax support vector machine for sufficient dimension reduction with contaminated data
by Zhou, Jingke & Zhu, Lixing
- 49-62 Fast and accurate computation for kernel estimators
by Tang, Qingguo & Karunamuni, Rohana J.
- 63-74 A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models
by Hasegawa, Takanori & Niida, Atsushi & Mori, Tomoya & Shimamura, Teppei & Yamaguchi, Rui & Miyano, Satoru & Akutsu, Tatsuya & Imoto, Seiya
- 75-85 A semiparametric scale-mixture regression model and predictive recursion maximum likelihood
by Martin, Ryan & Han, Zhen
- 86-97 Diagnostic checking of the vector multiplicative error model
by Ng, F.C. & Li, W.K. & Yu, Philip L.H.
- 98-119 A propensity score adjustment method for regression models with nonignorable missing covariates
by Jiang, Depeng & Zhao, Puying & Tang, Niansheng
- 120-135 The Hawkes process with renewal immigration & its estimation with an EM algorithm
by Wheatley, Spencer & Filimonov, Vladimir & Sornette, Didier
- 136-160 The generalized modified Weibull power series distribution: Theory and applications
by Bagheri, S.F. & Bahrami Samani, E. & Ganjali, M.
- 161-174 Nonparametric estimation of a quantile density function by wavelet methods
by Chesneau, Christophe & Dewan, Isha & Doosti, Hassan
- 175-192 A general procedure to combine estimators
by Lavancier, F. & Rochet, P.
- 193-209 Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study
by Marino, Maria Francesca & Alfó, Marco
- 210-220 Parametric cost-effectiveness inference with skewed data
by Bebu, Ionut & Luta, George & Mathew, Thomas & Kennedy, Paul A. & Agan, Brian K.
- 221-237 On stepwise pattern recovery of the fused Lasso
by Qian, Junyang & Jia, Jinzhu
- 238-249 A sequential logistic regression classifier based on mixed effects with applications to longitudinal data
by Zhang, Xin & Jeske, Daniel R. & Li, Jun & Wong, Vance
- 250-264 Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models
by Svenson, Joshua & Santner, Thomas
- 265-274 Fixed factor analysis with clustered factor score constraint
by Uno, Kohei & Satomura, Hironori & Adachi, Kohei
- 275-286 A modified local quadratic approximation algorithm for penalized optimization problems
by Lee, Sangin & Kwon, Sunghoon & Kim, Yongdai
- 287-301 Adaptive conditional feature screening
by Lin, Lu & Sun, Jing
- 302-316 Jackknife empirical likelihood test for high-dimensional regression coefficients
by Zang, Yangguang & Zhang, Sanguo & Li, Qizhai & Zhang, Qingzhao
- 317-329 Interaction models for functional regression
by Usset, Joseph & Staicu, Ana-Maria & Maity, Arnab
- 330-350 Simplicial principal component analysis for density functions in Bayes spaces
by Hron, K. & Menafoglio, A. & Templ, M. & Hrůzová, K. & Filzmoser, P.
- 351-362 Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring
by Aykroyd, Robert G. & Barber, Stuart & Miller, Luke R.
- 363-371 Analysis of long series of longitudinal ordinal data using marginalized models
by Lee, Keunbaik & Sohn, Insuk & Kim, Donguk
- 372-390 Multivariate Fay–Herriot models for small area estimation
by Benavent, Roberto & Morales, Domingo
2016, Volume 93, Issue C
- 5-17 Identifying connected components in Gaussian finite mixture models for clustering
by Scrucca, Luca
- 18-30 Clustering with the multivariate normal inverse Gaussian distribution
by O’Hagan, Adrian & Murphy, Thomas Brendan & Gormley, Isobel Claire & McNicholas, Paul D. & Karlis, Dimitris
- 31-45 Model-based biclustering of clickstream data
by Melnykov, Volodymyr
- 46-75 Mixture-based clustering for the ordered stereotype model
by Fernández, D. & Arnold, R. & Pledger, S.
- 76-85 Mixtures of spatial spline regressions for clustering and classification
by Nguyen, Hien D. & McLachlan, Geoffrey J. & Wood, Ian A.
- 86-96 Wavelet-based scalar-on-function finite mixture regression models
by Ciarleglio, Adam & Todd Ogden, R.
- 97-106 On the estimation of mixtures of Poisson regression models with large number of components
by Papastamoulis, Panagiotis & Martin-Magniette, Marie-Laure & Maugis-Rabusseau, Cathy
- 107-118 Nonparametric estimation of species richness using discrete k-monotone distributions
by Chee, Chew-Seng & Wang, Yong
- 119-130 Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies
by Lu, Xiaosun & Huang, Yangxin & Zhu, Yiliang
- 131-145 General framework and model building in the class of Hidden Mixture Transition Distribution models
by Bolano, Danilo & Berchtold, André
- 146-161 Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices
by Morgan, Grant B. & Hodge, Kari J. & Baggett, Aaron R.
- 162-176 Mixtures of quantile regressions
by Wu, Qiang & Yao, Weixin
- 177-191 Laplace mixture of linear experts
by Nguyen, Hien D. & McLachlan, Geoffrey J.
- 192-208 Modelling receiver operating characteristic curves using Gaussian mixtures
by Cheam, Amay S.M. & McNicholas, Paul D.
- 209-227 Maximum likelihood estimation and expectation–maximization algorithm for controlled branching processes
by González, M. & Minuesa, C. & del Puerto, I.
- 228-245 EM algorithms for estimating the Bernstein copula
by Dou, Xiaoling & Kuriki, Satoshi & Lin, Gwo Dong & Richards, Donald
- 246-254 Transdimensional sequential Monte Carlo using variational Bayes — SMCVB
by McGrory, C.A. & Pettitt, A.N. & Titterington, D.M. & Alston, C.L. & Kelly, M.
- 257-269 Partially linear transformation cure models for interval-censored data
by Hu, Tao & Xiang, Liming
- 270-284 Flexible estimation in cure survival models using Bayesian P-splines
by Bremhorst, Vincent & Lambert, Philippe
- 285-293 Empirical likelihood confidence regions for one- or two- samples with doubly censored data
by Shen, Junshan & Yuen, Kam Chuen & Liu, Chunling
- 294-307 Nonparametric regression with doubly truncated data
by Moreira, C. & de Uña-Álvarez, J. & Meira-Machado, L.
- 308-323 Parametrically guided nonparametric density and hazard estimation with censored data
by Talamakrouni, Majda & Van Keilegom, Ingrid & El Ghouch, Anouar
- 324-335 The liability threshold model for censored twin data
by Holst, Klaus K. & Scheike, Thomas H. & Hjelmborg, Jacob B.
- 336-347 Causal mediation analysis for survival outcome with unobserved mediator–outcome confounders
by Luo, Peng & Geng, Zhi
- 348-358 Goodness-of-fit test of the stratified mark-specific proportional hazards model with continuous mark
by Sun, Yanqing & Li, Mei & Gilbert, Peter B.
- 359-372 Full Bayesian inference with hazard mixture models
by Arbel, Julyan & Lijoi, Antonio & Nipoti, Bernardo
- 373-387 Bayesian network data imputation with application to survival tree analysis
by Rancoita, Paola M.V. & Zaffalon, Marco & Zucca, Emanuele & Bertoni, Francesco & de Campos, Cassio P.
- 390-403 Sparse estimation of high-dimensional correlation matrices
by Cui, Ying & Leng, Chenlei & Sun, Defeng
- 404-420 Robust estimation of precision matrices under cellwise contamination
by Tarr, G. & Müller, S. & Weber, N.C.
- 421-435 Robust groupwise least angle regression
by Alfons, Andreas & Croux, Christophe & Gelper, Sarah
- 436-455 Robust tests for linear regression models based on τ-estimates
by Salibian-Barrera, Matias & Van Aelst, Stefan & Yohai, Víctor J.
- 456-468 Minimum volume peeling: A robust nonparametric estimator of the multivariate mode
by Kirschstein, T. & Liebscher, S. & Porzio, G.C. & Ragozini, G.
- 469-482 New upper bounds for tight and fast approximation of Fisher’s exact test in dependency rule mining
by Hämäläinen, Wilhelmiina
- 483-497 Noise peeling methods to improve boosting algorithms
by Martinez, Waldyn & Gray, J. Brian
2015, Volume 92, Issue C
- 1-12 Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling
by Friedrich, Ulf & Münnich, Ralf & de Vries, Sven & Wagner, Matthias
- 13-25 Covariance matrix estimation for left-censored data
by Pesonen, Maiju & Pesonen, Henri & Nevalainen, Jaakko
- 26-39 Simulation-based fully Bayesian experimental design for mixed effects models
by Ryan, Elizabeth G. & Drovandi, Christopher C. & Pettitt, Anthony N.
- 40-52 Studies of the adaptive network-constrained linear regression and its application
by Yang, Hu & Yi, Danhui
- 53-67 Moderately clipped LASSO
by Kwon, Sunghoon & Lee, Sangin & Kim, Yongdai
- 68-83 Estimation and inference on central mean subspace for multivariate response data
by Zhu, Liping & Zhong, Wei
- 84-96 Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets
by Rashid, S. & Mitra, R. & Steele, R.J.
- 97-114 A test for equality of two distributions via jackknife empirical likelihood and characteristic functions
by Liu, Zhi & Xia, Xiaochao & Zhou, Wang
- 115-125 Matrix completion discriminant analysis
by Wu, Tong Tong & Lange, Kenneth
- 126-133 Detecting misspecification in the random-effects structure of cumulative logit models
by Lin, Kuo-Chin & Chen, Yi-Ju
- 134-147 Regression under Cox’s model for recall-based time-to-event data in observational studies
by Mirzaei Salehabadi, Sedigheh & Sengupta, Debasis
- 148-162 Nonparametric density estimation for multivariate bounded data using two non-negative multiplicative bias correction methods
by Funke, Benedikt & Kawka, Rafael
- 163-176 A Bayesian mixture model to quantify parameters of spatial clustering
by Schäfer, Martin & Radon, Yvonne & Klein, Thomas & Herrmann, Sabrina & Schwender, Holger & Verveer, Peter J. & Ickstadt, Katja
2015, Volume 91, Issue C
- 1-3 A note on implementing the Durbin and Koopman simulation smoother
by Jarociński, Marek
- 4-19 Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation
by Allassonnière, Stéphanie & Kuhn, Estelle
- 20-39 Conditional quantile estimation based on optimal quantization: From theory to practice
by Charlier, Isabelle & Paindaveine, Davy & Saracco, Jérôme
- 40-50 Joint latent class model of survival and longitudinal data: An application to CPCRA study
by Liu, Yue & Liu, Lei & Zhou, Jianhui
- 51-63 Long-term survival models with overdispersed number of competing causes
by Barreto-Souza, Wagner
- 64-77 The hybrid method of FSIR and FSAVE for functional effective dimension reduction
by Wang, Guochang & Zhou, Yan & Feng, Xiang-Nan & Zhang, Baoxue
- 78-91 Efficient maximum approximated likelihood inference for Tukey’s g-and-h distribution
by Xu, Ganggang & Genton, Marc G.
- 92-101 Jackknife empirical likelihood inference for the mean absolute deviation
by Zhao, Yichuan & Meng, Xueping & Yang, Hanfang
2015, Volume 90, Issue C
- 1-14 Data augmentation and parameter expansion for independent or spatially correlated ordinal data
by Schliep, Erin M. & Hoeting, Jennifer A.
- 15-35 Grouped variable importance with random forests and application to multiple functional data analysis
by Gregorutti, Baptiste & Michel, Bertrand & Saint-Pierre, Philippe
- 36-46 Finding Dantzig selectors with a proximity operator based fixed-point algorithm
by Prater, Ashley & Shen, Lixin & Suter, Bruce W.
- 47-60 Robust and efficient estimation of effective dose
by Karunamuni, Rohana J. & Tang, Qingguo & Zhao, Bangxin
- 61-73 Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering
by Wraith, Darren & Forbes, Florence
- 74-83 Sparse HDLSS discrimination with constrained data piling
by Ahn, Jeongyoun & Jeon, Yongho
- 84-99 Improved methods for the imputation of missing data by nearest neighbor methods
by Tutz, Gerhard & Ramzan, Shahla
- 100-113 Tests of exponentiality based on Arnold–Villasenor characterization and their efficiencies
by Jovanović, Milan & Milošević, Bojana & Nikitin, Ya. Yu. & Obradović, Marko & Volkova, K. Yu.
- 114-131 Kernel Generalized Canonical Correlation Analysis
by Tenenhaus, Arthur & Philippe, Cathy & Frouin, Vincent
2015, Volume 89, Issue C
- 1-11 Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses
by Swihart, Bruce J. & Punjabi, Naresh M. & Crainiceanu, Ciprian M.
- 12-24 Variational algorithms for biclustering models
by Vu, Duy & Aitkin, Murray
- 25-38 An adaptive test for the mean vector in large-p-small-n problems
by Shen, Yanfeng & Lin, Zhengyan
- 39-50 A semiparametric additive rates model for multivariate recurrent events with missing event categories
by Ye, Peng & Zhao, Xingqiu & Sun, Liuquan & Xu, Wei
- 51-71 Improving cross-validated bandwidth selection using subsampling-extrapolation techniques
by Wang, Qing & Lindsay, Bruce G.
- 72-84 Non-parametric entropy estimators based on simple linear regression
by Hino, Hideitsu & Koshijima, Kensuke & Murata, Noboru
- 85-96 Estimation for mixed exponential distributions under type-II progressively hybrid censored samples
by Tian, Yuzhu & Zhu, Qianqian & Tian, Maozai
- 97-114 Generalized endpoint-inflated binomial model
by Tian, Guo-Liang & Ma, Huijuan & Zhou, Yong & Deng, Dianliang
- 115-125 Behavior of EWMA type control charts for small smoothing parameters
by Lazariv, Taras & Okhrin, Yarema & Schmid, Wolfgang
- 126-133 Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models
by Yue, Chen & Chen, Shaojie & Sair, Haris I. & Airan, Raag & Caffo, Brian S.
- 134-146 An adaptive minimum spanning tree test for detecting irregularly-shaped spatial clusters
by Zhou, Ruoyu & Shu, Lianjie & Su, Yan
- 147-157 A random-effect model approach for group variable selection
by Lee, Sangin & Pawitan, Yudi & Lee, Youngjo
- 158-171 Likelihood inference for small area estimation using data cloning
by Torabi, Mahmoud & Lele, Subhash R. & Prasad, Narasimha G.N.
- 172-191 Fast goodness-of-fit tests based on the characteristic function
by Jiménez-Gamero, M. Dolores & Kim, Hyoung-Moon
- 192-203 Sparse principal component regression with adaptive loading
by Kawano, Shuichi & Fujisawa, Hironori & Takada, Toyoyuki & Shiroishi, Toshihiko
- 204-221 Orthogonality-projection-based estimation for semi-varying coefficient models with heteroscedastic errors
by Zhao, Yan-Yong & Lin, Jin-Guan & Xu, Pei-Rong & Ye, Xu-Guo
- 222-244 Bayesian nonparametric estimation of test equating functions with covariates
by González, Jorge & Barrientos, Andrés F. & Quintana, Fernando A.
2015, Volume 88, Issue C
- 1-14 Local linear estimation of residual entropy function of conditional distributions
by Rajesh, G. & Abdul-Sathar, E.I. & Maya, R.
- 15-27 Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve
by Yu, Wenbao & Park, Taesung
- 28-39 Comorbidity of chronic diseases in the elderly: Patterns identified by a copula design for mixed responses
by Stöber, Jakob & Hong, Hyokyoung Grace & Czado, Claudia & Ghosh, Pulak
- 40-52 Modelling discrete longitudinal data using acyclic probabilistic finite automata
by Ankinakatte, Smitha & Edwards, David
- 53-74 Unbiased regression trees for longitudinal and clustered data
by Fu, Wei & Simonoff, Jeffrey S.
- 75-99 SIMD parallel MCMC sampling with applications for big-data Bayesian analytics
by Mahani, Alireza S. & Sharabiani, Mansour T.A.
- 100-110 Nested nonnegative cone analysis
by Zhang, Lingsong & Lu, Shu & Marron, J.S.
- 111-118 Best linear near unbiased estimation for nonlinear signal models via semi-infinite programming approach
by Ling, Bingo Wing-Kuen & Ho, Charlotte Yuk-Fan & Siu, Wan-Chi & Dai, Qingyun
- 119-127 Generalized orthogonal components regression for high dimensional generalized linear models
by Lin, Yanzhu & Zhang, Min & Zhang, Dabao
- 128-138 A lack-of-fit test for quantile regression models with high-dimensional covariates
by Conde-Amboage, Mercedes & Sánchez-Sellero, César & González-Manteiga, Wenceslao
- 139-153 Mixture model selection via hierarchical BIC
by Zhao, Jianhua & Jin, Libin & Shi, Lei
- 154-172 Quantile regression methods with varying-coefficient models for censored data
by Xie, Shangyu & Wan, Alan T.K. & Zhou, Yong
- 173-186 Multilevel cumulative logistic regression model with random effects: Application to British social attitudes panel survey data
by Chan, Moon-tong & Yu, Dalei & Yau, Kelvin K.W.
- 187-207 On second order efficient robust inference
by Paul, Subhadeep & Basu, Ayanendranath
2015, Volume 87, Issue C
- 1-17 Kappa statistic for clustered physician–patients polytomous data
by Yang, Zhao & Zhou, Ming
- 18-33 A case-deletion diagnostic for penalized calibration estimators and BLUP under linear mixed models in survey sampling
by Barranco-Chamorro, I. & Jiménez-Gamero, M.D. & Mayor-Gallego, J.A. & Moreno-Rebollo, J.L.
- 34-45 Regression analysis of multivariate current status data with auxiliary covariates under the additive hazards model
by Chen, Yurong & Feng, Yanqin & Sun, Jianguo
- 46-56 A new estimating equation approach for marginal hazard ratio estimation
by Niu, Yi & Peng, Yingwei
- 57-72 Faithfulness and learning hypergraphs from discrete distributions
by Klimova, Anna & Uhler, Caroline & Rudas, Tamás
- 73-83 A Bayesian hierarchical model for estimating and partitioning Bernstein polynomial density functions
by Gard, Charlotte C. & Brown, Elizabeth R.
- 84-101 Model based clustering of high-dimensional binary data
by Tang, Yang & Browne, Ryan P. & McNicholas, Paul D.
- 102-115 Archetypoids: A new approach to define representative archetypal data
by Vinué, Guillermo & Epifanio, Irene & Alemany, Sandra
- 116-135 Adjusted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model and its small sample bias
by Yu, Dalei & Bai, Peng & Ding, Chang
2015, Volume 86, Issue C
- 1-12 Entropy test and residual empirical process for autoregressive conditional duration models
by Lee, Sangyeol & Oh, Haejune
- 13-26 The dual and degrees of freedom of linearly constrained generalized lasso
by Hu, Qinqin & Zeng, Peng & Lin, Lu
- 27-41 An external field prior for the hidden Potts model with application to cone-beam computed tomography
by Moores, Matthew T. & Hargrave, Catriona E. & Deegan, Timothy & Poulsen, Michael & Harden, Fiona & Mengersen, Kerrie
- 42-51 Multiple comparisons for survival data with propensity score adjustment
by Zhu, Hong & Lu, Bo
- 52-64 Anatomical curve identification
by Bowman, Adrian W. & Katina, Stanislav & Smith, Joanna & Brown, Denise
- 65-80 Tree-based varying coefficient regression for longitudinal ordinal responses
by Bürgin, Reto & Ritschard, Gilbert
- 81-96 Bayesian estimation of a discrete response model with double rules of sample selection
by Zhang, Rong & Inder, Brett A. & Zhang, Xibin
- 97-110 Transdimensional approximate Bayesian computation for inference on invasive species models with latent variables of unknown dimension
by Chkrebtii, Oksana A. & Cameron, Erin K. & Campbell, David A. & Bayne, Erin M.
2015, Volume 85, Issue C
- 1-22 Robust nonnegative garrote variable selection in linear regression
by Gijbels, I. & Vrinssen, I.
- 23-36 The cluster graphical lasso for improved estimation of Gaussian graphical models
by Tan, Kean Ming & Witten, Daniela & Shojaie, Ali
- 37-53 A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits
by Bernhardt, Paul W. & Zhang, Daowen & Wang, Huixia Judy
- 54-66 GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries
by Kong, Maiying & Xu, Sheng & Levy, Steven M. & Datta, Somnath
- 67-83 Sample size methods for constructing confidence intervals for the intra-class correlation coefficient
by Dobbin, Kevin K. & Ionan, Alexei C.
- 84-99 Bayesian threshold selection for extremal models using measures of surprise
by Lee, J. & Fan, Y. & Sisson, S.A.
2015, Volume 84, Issue C
- 1-13 Nonparametric estimation of pair-copula constructions with the empirical pair-copula
by Hobæk Haff, Ingrid & Segers, Johan
- 14-26 Approximate maximum likelihood estimation of the autologistic model
by Bee, Marco & Espa, Giuseppe & Giuliani, Diego
- 27-40 An exact polynomial time algorithm for computing the least trimmed squares estimate
by Klouda, Karel
- 41-53 A Gaussian pseudolikelihood approach for quantile regression with repeated measurements
by Fu, Liya & Wang, You-Gan & Zhu, Min
- 54-67 A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equations
by Sun, Libo & Lee, Chihoon & Hoeting, Jennifer A.
- 68-84 Iterated Bernstein operators for distribution function and density estimation: Balancing between the number of iterations and the polynomial degree
by Manté, Claude
- 85-98 A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests
by Liu, Wei & Zhang, Bo & Zhang, Zhiwei & Chen, Baojiang & Zhou, Xiao-Hua