# Elsevier

# Computational Statistics & Data Analysis

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### 2016, Volume 94, Issue C

**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**99-115 A semiparametric Bayesian approach for joint-quantile regression with clustered data***by*Jang, Woosung & Wang, Huixia Judy**116-134 Confidence interval construction for the Youden index based on partially validated series***by*Poon, Wai-Yin & Qiu, Shi-Fang & Tang, Man-Lai**135-151 A new MM algorithm for constrained estimation in the proportional hazards model***by*Ding, Jieli & Tian, Guo-Liang & Yuen, Kam Chuen

### 2015, Volume 83, Issue C

**1-13 Accurate ensemble pruning with PL-bagging***by*Chung, Dongjun & Kim, Hyunjoong**14-25 Stationary bootstrapping for semiparametric panel unit root tests***by*Hwang, Eunju & Shin, Dong Wan**26-36 Inference on the Weibull distribution based on record values***by*Wang, Bing Xing & Ye, Zhi-Sheng**37-51 Prediction intervals for integrals of Gaussian random fields***by*De Oliveira, Victor & Kone, Bazoumana**52-64 Checking the adequacy for a distortion errors-in-variables parametric regression model***by*Zhang, Jun & Li, Gaorong & Feng, Zhenghui**65-81 Modeling and forecasting duration-dependent mortality rates***by*Christiansen, Marcus C. & Niemeyer, Andreas & Teigiszerová, Lucia**82-90 Performance measures of the bivariate random effects model for meta-analyses of diagnostic accuracy***by*Diaz, Mireya**91-100 Computation of optimum reliability acceptance sampling plans in presence of hybrid censoring***by*Bhattacharya, Ritwik & Pradhan, Biswabrata & Dewanji, Anup**101-115 Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter***by*Mbalawata, Isambi S. & Särkkä, Simo & Vihola, Matti & Haario, Heikki**116-128 Likelihood inference for generalized Pareto distribution***by*Castillo, Joan del & Serra, Isabel**129-139 Multi-way PLS regression: Monotony convergence of tri-linear PLS2 and optimality of parameters***by*Hanafi, Mohamed & Ouertani, Samia Samar & Boccard, Julien & Mazerolles, Gérard & Rudaz, Serge**140-150 Regression analysis of bivariate current status data under the Gamma-frailty proportional hazards model using the EM algorithm***by*Wang, Naichen & Wang, Lianming & McMahan, Christopher S.**151-167 A class of transformed hazards models for recurrent gap times***by*Kang, Fangyuan & Sun, Liuquan & Zhao, Xingqiu**168-181 A Monte Carlo approach to quantifying model error in Bayesian parameter estimation***by*White, Staci A. & Herbei, Radu**182-199 Systematic physics constrained parameter estimation of stochastic differential equations***by*Peavoy, Daniel & Franzke, Christian L.E. & Roberts, Gareth O.**200-222 Type I multivariate zero-inflated Poisson distribution with applications***by*Liu, Yin & Tian, Guo-Liang**223-235 Mixtures of common t-factor analyzers for modeling high-dimensional data with missing values***by*Wang, Wan-Lun**236-250 Domain selection for the varying coefficient model via local polynomial regression***by*Kong, Dehan & Bondell, Howard D. & Wu, Yichao**251-261 Nonparametric Stein-type shrinkage covariance matrix estimators in high-dimensional settings***by*Touloumis, Anestis**262-274 High finite-sample efficiency and robustness based on distance-constrained maximum likelihood***by*Maronna, Ricardo A. & Yohai, Victor J.**275-286 Testing predictor significance with ultra high dimensional multivariate responses***by*Ma, Yingying & Lan, Wei & Wang, Hansheng**287-301 Three-step estimation of latent Markov models with covariates***by*Bartolucci, Francesco & Montanari, Giorgio E. & Pandolfi, Silvia

### 2015, Volume 82, Issue C

**1-18 Weighted kappa statistic for clustered matched-pair ordinal data***by*Yang, Zhao & Zhou, Ming**19-34 Analysis of dependent competing risks in the presence of progressive hybrid censoring using Marshall–Olkin bivariate Weibull distribution***by*Feizjavadian, S.H. & Hashemi, R.**35-46 Using retrospective sampling to estimate models of relationship status in large longitudinal social networks***by*O’Malley, A. James & Paul, Sudeshna**47-58 Comparison of concordance correlation coefficient via variance components, generalized estimating equations and weighted approaches with model selection***by*Tsai, Miao-Yu**59-73 Double Generalized Threshold Models with constraint on the dispersion by the mean***by*Wu, K.Y.K. & Li, W.K.**74-88 An efficient and robust variable selection method for longitudinal generalized linear models***by*Lv, Jing & Yang, Hu & Guo, Chaohui**89-109 Ridge-based method for finding curvilinear structures from noisy data***by*Pulkkinen, Seppo**110-125 Stein’s method in high dimensional classification and applications***by*Park, Junyong & Park, DoHwan**126-136 Cook’s distance for generalized linear mixed models***by*Pinho, Luis Gustavo B. & Nobre, Juvêncio S. & Singer, Julio M.**137-151 Robust heart rate variability analysis by generalized entropy minimization***by*La Vecchia, Davide & Camponovo, Lorenzo & Ferrari, Davide**152-163 Ordinal Logic Regression: A classifier for discovering combinations of binary markers for ordinal outcomes***by*Wolf, Bethany J. & Slate, Elizabeth H. & Hill, Elizabeth G.**164-172 A new adaptive procedure for multiple window scan statistics***by*Wu, Tung-Lung & Glaz, Joseph**173-185 A hot deck imputation procedure for multiply imputing nonignorable missing data: The proxy pattern-mixture hot deck***by*Sullivan, Danielle & Andridge, Rebecca**186-198 Empirical likelihood ratio confidence interval estimation of best linear combinations of biomarkers***by*Chen, Xiwei & Vexler, Albert & Markatou, Marianthi**199-206 Kernel multilogit algorithm for multiclass classification***by*Dalmau, Oscar & Alarcón, Teresa E. & González, Graciela**207-222 Variable selection in general multinomial logit models***by*Tutz, Gerhard & Pößnecker, Wolfgang & Uhlmann, Lorenz**223-237 A new partially reduced-bias mean-of-order p class of extreme value index estimators***by*Gomes, M. Ivette & Brilhante, M. Fátima & Caeiro, Frederico & Pestana, Dinis

### 2014, Volume 80, Issue C

**1-16 The bivariate Sinh-Elliptical distribution with applications to Birnbaum–Saunders distribution and associated regression and measurement error models***by*Vilca, Filidor & Balakrishnan, N. & Zeller, Camila Borelli**17-25 A Bayesian approach to estimating animal density from binary acoustic transects***by*Horrocks, Julie & Rueffer, Matthew**26-43 The complexity of computation and approximation of the t-ratio over one-dimensional interval data***by*Černý, Michal & Hladík, Milan**44-56 Minimum density power divergence estimator for Poisson autoregressive models***by*Kang, Jiwon & Lee, Sangyeol**57-69 Evaluation of the Fisher information matrix in nonlinear mixed effect models using adaptive Gaussian quadrature***by*Nguyen, Thu Thuy & Mentré, France**70-77 Intra-cluster correlation structure in longitudinal data analysis: Selection criteria and misspecification tests***by*Xu, Jianwen & Wang, You-Gan**78-88 Markov transition model to dementia with death as a competing event***by*Wei, Shaoceng & Xu, Liou & Kryscio, Richard J.**89-98 Notes on testing equality in binary data under a three period crossover design***by*Lui, Kung-Jong & Cumberland, William G. & Chang, Kuang-Chao**99-110 RMCMC: A system for updating Bayesian models***by*Lau, F. Din-Houn & Gandy, Axel**111-116 Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models***by*Lee, Keunbaik & Yoo, Jae Keun**117-128 Stable estimation of a covariance matrix guided by nuclear norm penalties***by*Chi, Eric C. & Lange, Kenneth**129-139 Variable selection by Random Forests using data with missing values***by*Hapfelmeier, A. & Ulm, K.**140-152 Robust estimation for survival partially linear single-index models***by*Wang, Xiaoguang & Shi, Xinyong**153-166 Bounding rare event probabilities in computer experiments***by*Auffray, Yves & Barbillon, Pierre & Marin, Jean-Michel**167-183 A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice***by*Kobayashi, Genya**184-196 Stable computational methods for additive binomial models with application to adjusted risk differences***by*Donoghoe, Mark W. & Marschner, Ian C.**197-208 Partially linear structure identification in generalized additive models with NP-dimensionality***by*Lian, Heng & Du, Pang & Li, YuanZhang & Liang, Hua**209-222 Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm***by*Rohart, Florian & San Cristobal, Magali & Laurent, Béatrice**223-239 Variational inferences for partially linear additive models with variable selection***by*Zhao, Kaifeng & Lian, Heng