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Content
2018, Volume 123, Issue C
- 86-100 Dealing with reciprocity in dynamic stochastic block models
by Bartolucci, Francesco & Marino, Maria Francesca & Pandolfi, Silvia
- 101-115 Model-based co-clustering for ordinal data
by Jacques, Julien & Biernacki, Christophe
- 116-130 A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields
by Zammit-Mangion, Andrew & Rougier, Jonathan
- 131-145 Likelihood based inference for the multivariate renewal Hawkes process
by Stindl, Tom & Chen, Feng
- 146-156 Semiparametric spatial model for interval-censored data with time-varying covariate effects
by Zhang, Yue & Zhang, Bin
2018, Volume 122, Issue C
- 1-17 Optimal exact tests for multiple binary endpoints
by Ristl, Robin & Xi, Dong & Glimm, Ekkehard & Posch, Martin
- 18-32 Fused mean–variance filter for feature screening
by Yan, Xiaodong & Tang, Niansheng & Xie, Jinhan & Ding, Xianwen & Wang, Zhiqiang
- 33-44 Model selection for time series of count data
by Alzahrani, Naif & Neal, Peter & Spencer, Simon E.F. & McKinley, Trevelyan J. & Touloupou, Panayiota
- 45-58 Flexible and efficient estimating equations for variogram estimation
by Sun, Ying & Chang, Xiaohui & Guan, Yongtao
- 59-79 Analysis of generalized semiparametric regression models for cumulative incidence functions with missing covariates
by Lee, Unkyung & Sun, Yanqing & Scheike, Thomas H. & Gilbert, Peter B.
- 80-91 Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions
by Feng, Long & Dicker, Lee H.
- 92-100 A simple and fast method for computing the Poisson binomial distribution function
by Biscarri, William & Zhao, Sihai Dave & Brunner, Robert J.
- 101-114 A joint design for functional data with application to scheduling ultrasound scans
by Park, So Young & Xiao, Luo & Willbur, Jayson D. & Staicu, Ana-Maria & Jumbe, N. L’ntshotsholé
- 115-134 Bayesian inference for conditional copulas using Gaussian Process single index models
by Levi, Evgeny & Craiu, Radu V.
- 135-155 Goodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example
by Teran Hidalgo, Sebastian J. & Wu, Michael C. & Engel, Stephanie M. & Kosorok, Michael R.
- 156-166 Group testing case identification with biomarker information
by Wang, Dewei & McMahan, Christopher S. & Tebbs, Joshua M. & Bilder, Christopher R.
2018, Volume 121, Issue C
- 1-19 Multivariate factorizable expectile regression with application to fMRI data
by Chao, Shih-Kang & Härdle, Wolfgang K. & Huang, Chen
- 20-40 Small area estimation of general parameters under complex sampling designs
by Guadarrama, María & Molina, Isabel & Rao, J.N.K.
- 41-56 Parameter change tests for ARMA–GARCH models
by Song, Junmo & Kang, Jiwon
- 57-70 Concordance correlation coefficients estimated by variance components for longitudinal normal and Poisson data
by Tsai, Miao-Yu & Lin, Chao-Chun
- 71-88 Efficient estimation of COM–Poisson regression and a generalized additive model
by Chatla, Suneel Babu & Shmueli, Galit
- 89-103 Joint estimation of multiple Gaussian graphical models across unbalanced classes
by Shan, Liang & Kim, Inyoung
- 104-112 Analysis of longitudinal data with covariate measurement error and missing responses: An improved unbiased estimating equation
by Lin, Huiming & Qin, Guoyou & Zhang, Jiajia & Zhu, Zhongyi
- 113-136 Angle-based models for ranking data
by Xu, Hang & Alvo, Mayer & Yu, Philip L.H.
- 137-148 Small sample inference for probabilistic index models
by Amorim, G. & Thas, O. & Vermeulen, K. & Vansteelandt, S. & De Neve, J.
- 149-163 Jeffreys priors for mixture estimation: Properties and alternatives
by Grazian, Clara & Robert, Christian P.
- 164-179 Extended dynamic generalized linear models: The two-parameter exponential family
by Souza, M.A.O. & Migon, H.S. & Pereira, J.B.M.
- 180-189 A scoring criterion for rejection of clustered p-values
by Cai, Qingyun
- 190-208 Manly transformation in finite mixture modeling
by Zhu, Xuwen & Melnykov, Volodymyr
2018, Volume 120, Issue C
- 1-24 Validation of community robustness
by Carissimo, Annamaria & Cutillo, Luisa & Feis, Italia De
- 25-41 Fast symmetric additive covariance smoothing
by Cederbaum, Jona & Scheipl, Fabian & Greven, Sonja
- 42-57 Skewness-based projection pursuit: A computational approach
by Loperfido, Nicola
- 58-69 Smoothed jackknife empirical likelihood for the one-sample difference of quantiles
by Yang, Hanfang & Zhao, Yichuan
- 70-83 A note on the validity of cross-validation for evaluating autoregressive time series prediction
by Bergmeir, Christoph & Hyndman, Rob J. & Koo, Bonsoo
- 84-97 A least squares approach to latent variables extraction in formative–reflective models
by Fattore, Marco & Pelagatti, Matteo & Vittadini, Giorgio
- 98-110 Marginal maximum likelihood estimation of SAR models with missing data
by Suesse, Thomas
- 111-131 Nonparametric Bayesian label prediction on a graph
by Hartog, Jarno & van Zanten, Harry
2018, Volume 119, Issue C
- 1-18 Dependent mixtures of geometric weights priors
by Hatjispyros, Spyridon J. & Merkatas, Christos & Nicoleris, Theodoros & Walker, Stephen G.
- 19-38 A globally convergent algorithm for lasso-penalized mixture of linear regression models
by Lloyd-Jones, Luke R. & Nguyen, Hien D. & McLachlan, Geoffrey J.
- 39-54 A Joint modelling of socio-professional trajectories and cause-specific mortality
by Karimi, M. & Rey, G. & Latouche, A.
- 55-73 Alternative HAC covariance matrix estimators with improved finite sample properties
by Hartigan, Luke
- 74-85 A new nonparametric screening method for ultrahigh-dimensional survival data
by Liu, Yanyan & Zhang, Jing & Zhao, Xingqiu
- 86-98 On nonparametric estimation of the latent distribution for ordinal data
by Ghosh, Sujit K. & Burns, Christopher B. & Prager, Daniel L. & Zhang, Li & Hui, Glenn
- 99-117 An algorithm based on semidefinite programming for finding minimax optimal designs
by Duarte, Belmiro P.M. & Sagnol, Guillaume & Wong, Weng Kee
- 118-138 Robust feature screening for ultra-high dimensional right censored data via distance correlation
by Chen, Xiaolin & Chen, Xiaojing & Wang, Hong
- 139-154 Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints
by Perrin, G. & Soize, C. & Ouhbi, N.
2018, Volume 118, Issue C
- 1-17 Accelerating pseudo-marginal MCMC using Gaussian processes
by Drovandi, Christopher C. & Moores, Matthew T. & Boys, Richard J.
- 18-29 A new non-parametric estimator for instant system availability
by Huang, Kai & Mi, Jie
- 30-39 Signed sequential rank CUSUMs
by Lombard, F. & van Zyl, C.
- 40-53 Generating random variates from PDF of Gauss–Markov processes with a reflecting boundary
by Buonocore, A. & Nobile, A.G. & Pirozzi, E.
- 54-65 Sample size determination for high dimensional parameter estimation with application to biomarker identification
by Jiang, Binyan & Li, Jialiang
- 66-83 Estimation and testing for time-varying quantile single-index models with longitudinal data
by Li, Jianbo & Lian, Heng & Jiang, Xuejun & Song, Xinyuan
- 84-97 Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions
by Chen, Ping-Yang & Chen, Ray-Bing & Lin, C. Devon
- 98-111 Robust multistratum baseline designs
by Lin, Chang-Yun & Yang, Po
- 112-125 Consistent test for parametric models with right-censored data using projections
by Sun, Zhihua & Ye, Xue & Sun, Liuquan
- 126-137 Simultaneous variable selection and estimation for multivariate multilevel longitudinal data with both continuous and binary responses
by Li, Haocheng & Shu, Di & Zhang, Yukun & Yi, Grace Y.
2018, Volume 117, Issue C
- 1-18 Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random
by Shen, Yu & Liang, Han-Ying
- 19-31 Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation
by Park, Junyong
- 32-44 Network linear discriminant analysis
by Cai, Wei & Guan, Guoyu & Pan, Rui & Zhu, Xuening & Wang, Hansheng
- 45-61 Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion
by Roozbeh, Mahdi
- 62-75 Order restricted inference of a multiple step-stress model
by Samanta, Debashis & Kundu, Debasis
- 76-89 Informativeness of diagnostic marker values and the impact of data grouping
by Ma, Hua & Bandos, Andriy I. & Gur, David
- 90-108 Improved distributed particle filters for tracking in a wireless sensor network
by Kang, Kai & Maroulas, Vasileios & Schizas, Ioannis & Bao, Feng
- 109-127 Vine copula based likelihood estimation of dependence patterns in multivariate event time data
by Barthel, Nicole & Geerdens, Candida & Killiches, Matthias & Janssen, Paul & Czado, Claudia
- 128-137 Testing independence in high dimensions using Kendall’s tau
by Mao, Guangyu
- 138-153 Spatial data compression via adaptive dispersion clustering
by Marchetti, Yuliya & Nguyen, Hai & Braverman, Amy & Cressie, Noel
- 154-161 A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure
by Craiu, Radu V. & Duchesne, Thierry
- 162-181 Dual-semiparametric regression using weighted Dirichlet process mixture
by Sun, Peng & Kim, Inyoung & Lee, Ki-Ahm
- 182-193 Optimal experimental designs for estimating the drug combination index in toxicology
by Holland-Letz, T. & Kopp-Schneider, A.
- 194-206 Regression analysis for the proportional hazards model with parameter constraints under case-cohort design
by Deng, Lifeng & Ding, Jieli & Liu, Yanyan & Wei, Chengdong
2017, Volume 116, Issue C
- 1-18 Trace regression model with simultaneously low rank and row(column) sparse parameter
by Zhao, Junlong & Niu, Lu & Zhan, Shushi
- 19-31 Detection of influential points as a byproduct of resampling-based variable selection procedures
by De Bin, Riccardo & Boulesteix, Anne-Laure & Sauerbrei, Willi
- 32-48 Minimum distance estimators of population size from snowball samples using conditional estimation and scaling of exponential random graph models
by Rolls, David A. & Robins, Garry
- 49-66 A continuous threshold expectile model
by Zhang, Feipeng & Li, Qunhua
- 67-78 Non-area-specific adjustment factor for second-order efficient empirical Bayes confidence interval
by Hirose, Masayo Yoshimori
- 79-105 On discrete Epanechnikov kernel functions
by Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F.
- 106-138 Constrained center and range joint model for interval-valued symbolic data regression
by Hao, Peng & Guo, Junpeng
- 139-154 Identification of relevant subtypes via preweighted sparse clustering
by Gaynor, Sheila & Bair, Eric
2017, Volume 115, Issue C
- 1-10 Smoothed empirical likelihood for the Youden index
by Wang, Dongliang & Tian, Lili & Zhao, Yichuan
- 11-20 Powered embarrassing parallel MCMC sampling in Bayesian inference, a weighted average intuition
by Li, Song & Tso, Geoffrey K.F. & Long, Lufan
- 21-34 Functional data classification using covariate-adjusted subspace projection
by Li, Pai-Ling & Chiou, Jeng-Min & Shyr, Yu
- 35-52 Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables
by Hayes, Timothy & McArdle, John J.
- 53-66 Classification trees for poverty mapping
by Bilton, Penny & Jones, Geoff & Ganesh, Siva & Haslett, Steve
- 67-78 Sufficient dimension reduction using Hilbert–Schmidt independence criterion
by Xue, Yuan & Zhang, Nan & Yin, Xiangrong & Zheng, Haitao
- 79-90 Bayesian D-optimal screening experiments with partial replication
by Leonard, Robert D. & Edwards, David J.
- 91-102 The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation
by Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel
- 103-121 Estimation of partially linear regression models under the partial consistency property
by Cui, Xia & Lu, Ying & Peng, Heng
- 122-135 A novel method for estimating the common signals for consensus across multiple ranked lists
by Švendová, Vendula & Schimek, Michael G.
- 136-154 Two-layer EM algorithm for ALD mixture regression models: A new solution to composite quantile regression
by Wang, Shangshan & Xiang, Liming
- 155-171 Optimal scaling for survival analysis with ordinal data
by Willems, S.J.W. & Fiocco, M. & Meulman, J.J.
- 172-185 Estimation of reliability with semi-parametric modeling of degradation
by Bhuyan, Prajamitra & Sengupta, Debasis
- 186-198 Lasso, fractional norm and structured sparse estimation using a Hadamard product parametrization
by Hoff, Peter D.
- 199-223 Numerical implementation of the QuEST function
by Ledoit, Olivier & Wolf, Michael
- 224-249 An algorithmic framework for generating optimal two-stratum experimental designs
by Palhazi Cuervo, Daniel & Goos, Peter & Sörensen, Kenneth
- 250-266 On hyperbolic transformations to normality
by Tsai, Arthur C. & Liou, Michelle & Simak, Maria & Cheng, Philip E.
- 267-280 ARMA Cholesky factor models for the covariance matrix of linear models
by Lee, Keunbaik & Baek, Changryong & Daniels, Michael J.
- 281-293 Function compositional adjustments of conditional quantile curves
by Kuk, Anthony Y.C.
2017, Volume 114, Issue C
- 1-11 Simulating longer vectors of correlated binary random variables via multinomial sampling
by Shults, Justine
- 12-25 High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood
by Yu, Philip L.H. & Wang, Xiaohang & Zhu, Yuanyuan
- 26-37 Weighted particle tempering
by Carzolio, Marcos & Leman, Scotland
- 38-46 Fast smoothing in switching approximations of non-linear and non-Gaussian models
by Gorynin, Ivan & Derrode, Stéphane & Monfrini, Emmanuel & Pieczynski, Wojciech
- 47-60 Transforming response values in small area prediction
by Sugasawa, Shonosuke & Kubokawa, Tatsuya
- 61-74 Homogeneity detection for the high-dimensional generalized linear model
by Jeon, Jong-June & Kwon, Sunghoon & Choi, Hosik
- 75-87 On two-stage Monte Carlo tests of composite hypotheses
by Baddeley, Adrian & Hardegen, Andrew & Lawrence, Thomas & Milne, Robin K. & Nair, Gopalan & Rakshit, Suman
- 88-104 Ultrahigh dimensional feature screening via projection
by Li, Xingxiang & Cheng, Guosheng & Wang, Liming & Lai, Peng & Song, Fengli
- 105-118 A parametric model to estimate the proportion from true null using a distribution for p-values
by Yu, Chang & Zelterman, Daniel
- 119-129 Testing the hypothesis of increasing hazard ratio in two samples
by Sahoo, Shyamsundar & Sengupta, Debasis
- 130-145 A family of block-wise one-factor distributions for modeling high-dimensional binary data
by Marbac, Matthieu & Sedki, Mohammed
- 146-157 Testing homogeneity for multiple nonnegative distributions with excess zero observations
by Wang, Chunlin & Marriott, Paul & Li, Pengfei
2017, Volume 113, Issue C
- 3-18 Robustness of estimation methods in a survival cure model with mismeasured covariates
by Bertrand, A. & Legrand, C. & Léonard, D. & Van Keilegom, I.
- 19-37 Gradient boosting for high-dimensional prediction of rare events
by Blagus, Rok & Lusa, Lara
- 38-52 A wild bootstrap approach for nonparametric repeated measurements
by Friedrich, Sarah & Konietschke, Frank & Pauly, Markus
- 53-63 An estimating equation for censored and truncated quantile regression
by Frumento, Paolo & Bottai, Matteo
- 64-72 Self-controlled case series with multiple event types
by Ghebremichael-Weldeselassie, Yonas & Whitaker, Heather J. & Douglas, Ian J. & Smeeth, Liam & Farrington, C. Paddy
- 73-87 Non-inferiority test based on transformations for non-normal distributions
by Ghosh, Santu & Chatterjee, Arpita & Ghosh, Samiran
- 88-99 Causal inference with observational data under cluster-specific non-ignorable assignment mechanism
by Kim, Gi-Soo & Paik, Myunghee Cho & Kim, Hongsoo
- 100-110 Meta-analytic-predictive use of historical variance data for the design and analysis of clinical trials
by Schmidli, Heinz & Neuenschwander, Beat & Friede, Tim
- 111-124 Branching processes in continuous time as models of mutations: Computational approaches and algorithms
by Slavtchova-Bojkova, Maroussia & Trayanov, Plamen & Dimitrov, Stoyan
- 125-135 Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests
by Wang, Zheyu & Sebestyen, Krisztian & Monsell, Sarah E.
- 136-153 A Bayesian adaptive design for clinical trials in rare diseases
by Williamson, S. Faye & Jacko, Peter & Villar, Sofía S. & Jaki, Thomas
- 154-176 Cross-sectional design with a short-term follow-up for prognostic imaging biomarkers
by Won, Joong-Ho & Wu, Xiao & Lee, Sang Han & Lu, Ying
- 177-193 Bayesian two-component measurement error modelling for survival analysis using INLA—A case study on cardiovascular disease mortality in Switzerland
by Muff, Stefanie & Ott, Manuela & Braun, Julia & Held, Leonhard
- 196-206 T-optimal discriminating designs for Fourier regression models
by Dette, Holger & Melas, Viatcheslav B. & Shpilev, Petr
- 207-225 Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design
by McGree, J.M.
- 226-238 Model selection via Bayesian information capacity designs for generalised linear models
by Woods, David C. & McGree, James M. & Lewis, Susan M.
- 239-250 Model robust designs for survival trials
by Konstantinou, Maria & Biedermann, Stefanie & Kimber, Alan
- 251-260 Robustness of classical and optimal designs to missing observations
by Smucker, Byran J. & Jensen, Willis & Wu, Zichen & Wang, Bo
- 261-272 Factorial and response surface designs robust to missing observations
by da Silva, Marcelo A. & Gilmour, Steven G. & Trinca, Luzia A.
- 273-286 Optimal designs for comparing regression models with correlated observations
by Dette, Holger & Schorning, Kirsten & Konstantinou, Maria
- 287-296 Computation of c-optimal designs for models with correlated observations
by Rodríguez-Díaz, Juan M.
- 297-310 Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses
by Atkinson, Anthony C. & Biswas, Atanu
- 311-329 Automatic generation of generalised regular factorial designs
by Kobilinsky, André & Monod, Hervé & Bailey, R.A.
- 330-345 Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs
by Masoudi, Ehsan & Holling, Heinz & Wong, Weng Kee
- 346-362 Designing combined physical and computer experiments to maximize prediction accuracy
by Leatherman, Erin R. & Dean, Angela M. & Santner, Thomas J.
- 363-374 Optimal experimental design on the loading frequency for a probabilistic fatigue model for plain and fibre-reinforced concrete
by Rivas-López, M.J. & Yu, R.C. & López-Fidalgo, J. & Ruiz, G.
- 375-394 Convex relaxation for IMSE optimal design in random-field models
by Gauthier, B. & Pronzato, L.
- 398-423 Median-based estimation of dynamic panel models with fixed effects
by Dhaene, Geert & Zhu, Yu
- 424-440 Robust estimators under a functional common principal components model
by Bali, Juan Lucas & Boente, Graciela
- 441-456 Student Sliced Inverse Regression
by Chiancone, Alessandro & Forbes, Florence & Girard, Stéphane
- 457-474 High dimensional Gaussian copula graphical model with FDR control
by He, Yong & Zhang, Xinsheng & Wang, Pingping & Zhang, Liwen
- 475-496 Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers
by Maruotti, Antonello & Punzo, Antonio
2017, Volume 112, Issue C
- 1-13 Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior
by Lee, Kyu Ha & Chakraborty, Sounak & Sun, Jianguo
- 14-23 A finite mixture of multiple discrete distributions for modelling heaped count data
by Bermúdez, Lluís & Karlis, Dimitris & Santolino, Miguel
- 24-41 Some copula inference procedures adapted to the presence of ties
by Kojadinovic, Ivan
- 42-52 An optimal data ordering scheme for Dirichlet process mixture models
by Wang, Xue & Walker, Stephen G.
- 53-62 A Bayesian method for risk window estimation with application to HPV vaccine trial
by Fang, Tian & Mackillop, William & Jiang, Wenyu & Hildesheim, Allan & Wacholder, Sholom & Chen, Bingshu E.
- 63-79 Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework
by Nancy, Jane Y. & Khanna, Nehemiah H. & Arputharaj, Kannan
- 80-87 Fitting parabolas in noisy images
by García-Escudero, Luis A. & Mayo-Iscar, Agustín & Sánchez-Gutiérrez, Clara I.
- 88-98 LogitBoost autoregressive networks
by Goessling, Marc
- 99-113 Bivariate copula additive models for location, scale and shape
by Marra, Giampiero & Radice, Rosalba
- 114-128 Estimation and hypothesis test on partial linear models with additive distortion measurement errors
by Zhang, Jun & Zhou, Yan & Lin, Bingqing & Yu, Yao
- 129-144 A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data
by Lv, Jing & Guo, Chaohui & Yang, Hu & Li, Yalian
- 145-153 Analysis of binary longitudinal data with time-varying effects
by Jeong, Seonghyun & Park, Minjae & Park, Taeyoung
- 154-169 The generalized moment estimation of the additive–multiplicative hazard model with auxiliary survival information
by Shang, Wenpeng & Wang, Xiao
- 170-185 Bayesian variable selection for a semi-competing risks model with three hazard functions
by Chapple, Andrew G. & Vannucci, Marina & Thall, Peter F. & Lin, Steven
- 186-197 Analysis of a fixed center effect additive rates model for recurrent event data
by He, Haijin & Pan, Deng & Sun, Liuquan & Li, Yimei & Robison, Leslie L. & Song, Xinyuan
- 198-214 A quantitative comparison of stochastic mortality models on Italian population data
by Carfora, M.F. & Cutillo, L. & Orlando, A.
- 215-223 Competing risk model with bivariate random effects for clustered survival data
by Lai, Xin & Yau, Kelvin K.W. & Liu, Liu
- 224-234 Sieve maximum likelihood estimation for the proportional hazards model under informative censoring
by Chen, Xuerong & Hu, Tao & Sun, Jianguo
- 235-241 Transformed contribution ratio test for the number of factors in static approximate factor models
by Xia, Qiang & Liang, Rubing & Wu, Jianhong
- 242-256 Simultaneous dimension reduction and variable selection in modeling high dimensional data
by Lansangan, Joseph Ryan G. & Barrios, Erniel B.
- 257-269 Estimation of population proportion for judgment post-stratification
by Zamanzade, Ehsan & Wang, Xinlei
2017, Volume 111, Issue C
- 1-13 RHSBoost: Improving classification performance in imbalance data
by Gong, Joonho & Kim, Hyunjoong
- 14-26 The robust EM-type algorithms for log-concave mixtures of regression models
by Hu, Hao & Yao, Weixin & Wu, Yichao
- 27-47 Online EM for functional data
by Maire, Florian & Moulines, Eric & Lefebvre, Sidonie
- 48-58 Penalized principal logistic regression for sparse sufficient dimension reduction
by Shin, Seung Jun & Artemiou, Andreas
- 59-76 Multivariate location and scatter matrix estimation under cellwise and casewise contamination
by Leung, Andy & Yohai, Victor & Zamar, Ruben
- 77-87 Subject-wise empirical likelihood inference in partial linear models for longitudinal data
by Qian, Lianfen & Wang, Suojin
- 88-101 Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study
by Zhu, Hongxiao & Morris, Jeffrey S. & Wei, Fengrong & Cox, Dennis D.
- 102-115 Bayesian local influence of semiparametric structural equation models
by Ouyang, Ming & Yan, Xiaodong & Chen, Ji & Tang, Niansheng & Song, Xinyuan
- 116-130 Robust and sparse estimators for linear regression models
by Smucler, Ezequiel & Yohai, Victor J.
- 131-144 Sufficient dimension reduction constrained through sub-populations
by Al-Najjar, Elias & Adragni, Kofi P.
- 145-165 Residual and stratified branching particle filters
by Kouritzin, Michael A.
- 166-182 Smooth conditional distribution estimators using Bernstein polynomials
by Belalia, Mohamed & Bouezmarni, Taoufik & Leblanc, Alexandre
- 183-202 Pharmacokinetically guided optimum adaptive dose selection in early phase clinical trials
by Alam, M. Iftakhar & Bogacka, Barbara & Coad, D. Stephen
- 203-219 A new method for evaluation of the Fisher information matrix for discrete mixed effect models using Monte Carlo sampling and adaptive Gaussian quadrature
by Ueckert, Sebastian & Mentré, France
2017, Volume 110, Issue C
- 1-18 D-vine copula based quantile regression
by Kraus, Daniel & Czado, Claudia
- 19-36 A hidden Markov model for latent temporal clustering with application to ideological alignment in the U.S. Supreme Court
by Crane, Harry
- 37-49 Parsimonious and powerful composite likelihood testing for group difference and genotype–phenotype association
by Huang, Zhendong & Ferrari, Davide & Qian, Guoqi
- 50-63 Estimating time-varying treatment switching effects via local linear smoothing and quasi-likelihood
by Lin, Hongmei & Zhang, Riquan & Xu, Wenchao & Wang, Yuedong
- 64-74 Nearest neighbor estimates of regression
by Doksum, Kjell A. & Jiang, Jiancheng & Sun, Bo & Wang, Shuzhen
- 75-86 Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments
by Li, Shuwei & Hu, Tao & Wang, Peijie & Sun, Jianguo
- 87-102 Mixture models for mixed-type data through a composite likelihood approach
by Ranalli, Monia & Rocci, Roberto
- 103-114 Variable selection for multiply-imputed data with penalized generalized estimating equations
by Geronimi, J. & Saporta, G.
- 115-133 Bayesian group bridge for bi-level variable selection
by Mallick, Himel & Yi, Nengjun
- 134-144 Principal components adjusted variable screening
by Liu, Zhongkai & Song, Rui & Zeng, Donglin & Zhang, Jiajia
- 145-159 Generalized partially linear regression with misclassified data and an application to labour market transitions
by Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A.
2017, Volume 109, Issue C
- 1-14 Partial projective resampling method for dimension reduction: With applications to partially linear models
by Hilafu, Haileab & Wu, Wenbo
- 15-33 Composite quantile regression for correlated data
by Zhao, Weihua & Lian, Heng & Song, Xinyuan
- 34-44 A mixture model-based nonparametric approach to estimating a count distribution
by Chee, Chew-Seng
- 45-63 Estimation of selected parameters
by Pan, Jia-Chiun & Huang, Yufen & Hwang, J.T. Gene
- 64-75 Robust and efficient estimation of multivariate scatter and location
by Maronna, Ricardo A. & Yohai, Victor J.
- 76-92 Correlation between graphs with an application to brain network analysis
by Fujita, André & Takahashi, Daniel Yasumasa & Balardin, Joana Bisol & Vidal, Maciel Calebe & Sato, João Ricardo
- 93-104 Adjusting background noise in cluster analyses of longitudinal data
by Han, Shengtong & Zhang, Hongmei & Karmaus, Wilfried & Roberts, Graham & Arshad, Hasan
- 105-120 Inference for biased transformation models
by Zhu, Xuehu & Wang, Tao & Zhao, Junlong & Zhu, Lixing
- 121-143 Bayesian quantile regression using random B-spline series prior
by Das, Priyam & Ghosal, Subhashis
- 144-158 Bayesian robust principal component analysis with structured sparse component
by Han, Ningning & Song, Yumeng & Song, Zhanjie
- 159-181 An SVM-like approach for expectile regression
by Farooq, Muhammad & Steinwart, Ingo