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ISSN: 0167-9473
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Content
2014, Volume 76, Issue C
- 291-300 Comparison of specification tests for GARCH models
by Ghoudi, Kilani & Rémillard, Bruno
- 301-319 When long memory meets the Kalman filter: A comparative study
by Grassi, Stefano & Santucci de Magistris, Paolo
- 320-338 EGARCH models with fat tails, skewness and leverage
by Harvey, Andrew & Sucarrat, Genaro
- 339-358 Infinite-order, long-memory heterogeneous autoregressive models
by Hwang, Eunju & Shin, Dong Wan
- 359-376 Estimation of risk measures in energy portfolios using modern copula techniques
by Jäschke, Stefan
- 377-390 Panel cointegration testing in the presence of a time trend
by Karaman Örsal, Deniz Dilan & Droge, Bernd
- 391-407 Testing for unit roots in short panels allowing for a structural break
by Karavias, Yiannis & Tzavalis, Elias
- 408-423 Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models
by Kastner, Gregor & Frühwirth-Schnatter, Sylvia
- 424-448 Improved variance estimation of maximum likelihood estimators in stable first-order dynamic regression models
by Kiviet, Jan F. & Phillips, Garry D.A.
- 449-463 Efficient importance sampling in mixture frameworks
by Kleppe, Tore Selland & Liesenfeld, Roman
- 464-488 The indirect continuous-GMM estimation
by Kotchoni, Rachidi
- 489-501 A likelihood ratio type test for invertibility in moving average processes
by Larsson, Rolf
- 502-522 Testing for persistence change in fractionally integrated models: An application to world inflation rates
by Martins, Luis F. & Rodrigues, Paulo M.M.
- 523-535 SCOMDY models based on pair-copula constructions with application to exchange rates
by Min, Aleksey & Czado, Claudia
- 536-555 Forecasting with a noncausal VAR model
by Nyberg, Henri & Saikkonen, Pentti
- 556-576 Variance clustering improved dynamic conditional correlation MGARCH estimators
by Aielli, Gian Piero & Caporin, Massimiliano
- 577-587 A joint test for structural stability and a unit root in autoregressions
by Pitarakis, Jean-Yves
- 588-605 Bayesian option pricing using mixed normal heteroskedasticity models
by Rombouts, Jeroen V.K. & Stentoft, Lars
- 606-617 Dynamic factor multivariate GARCH model
by Santos, André A.P. & Moura, Guilherme V.
- 618-641 Realized stochastic volatility with leverage and long memory
by Shirota, Shinichiro & Hizu, Takayuki & Omori, Yasuhiro
- 642-654 A flexible and automated likelihood based framework for inference in stochastic volatility models
by Skaug, Hans J. & Yu, Jun
- 655-671 Vine-copula GARCH model with dynamic conditional dependence
by So, Mike K.P. & Yeung, Cherry Y.T.
- 672-686 Regime switches in the dependence structure of multidimensional financial data
by Stöber, Jakob & Czado, Claudia
- 687-707 Extended stochastic volatility models incorporating realised measures
by Venter, J.H. & de Jongh, P.J.
- 708-722 Optimal design of Fourier estimator in the presence of microstructure noise
by Wang, Fangfang
- 723-736 A fluctuation test for constant Spearman’s rho with nuisance-free limit distribution
by Wied, Dominik & Dehling, Herold & van Kampen, Maarten & Vogel, Daniel
- 737-759 Solving norm constrained portfolio optimization via coordinate-wise descent algorithms
by Yen, Yu-Min & Yen, Tso-Jung
2014, Volume 75, Issue C
- 1-14 Kalman filter variants in the closed skew normal setting
by Rezaie, Javad & Eidsvik, Jo
- 15-27 A joint convex penalty for inverse covariance matrix estimation
by Maurya, Ashwini
- 28-38 Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation
by Zougab, Nabil & Adjabi, Smail & Kokonendji, Célestin C.
- 39-52 Group subset selection for linear regression
by Guo, Yi & Berman, Mark & Gao, Junbin
- 53-65 Bayesian variable selection under the proportional hazards mixed-effects model
by Lee, Kyeong Eun & Kim, Yongku & Xu, Ronghui
- 66-80 Robust estimation of the parameters of g-and-h distributions, with applications to outlier detection
by Xu, Yihuan & Iglewicz, Boris & Chervoneva, Inna
- 81-95 Classification of molecular sequence data using Bayesian phylogenetic mixture models
by Loza-Reyes, E. & Hurn, M.A. & Robinson, A.
- 96-111 Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm
by Zhang, Mimi & Hu, Qingpei & Xie, Min & Yu, Dan
- 112-123 Nonnegative bias reduction methods for density estimation using asymmetric kernels
by Hirukawa, Masayuki & Sakudo, Mari
- 124-141 A random-projection based test of Gaussianity for stationary processes
by Nieto-Reyes, Alicia & Cuesta-Albertos, Juan Antonio & Gamboa, Fabrice
- 142-150 A frame based shrinkage procedure for fast oscillating functions
by De Canditiis, Daniela
- 151-161 Consistency-adjusted alpha allocation methods for a time-to-event analysis of composite endpoints
by Rauch, G. & Wirths, M. & Kieser, M.
- 162-178 Family of power divergence spatial scan statistics
by Zhang, Tonglin & Lin, Ge
- 179-189 A frequency domain test for detecting nonstationary time series
by Chen, Yen-Hung & Hsu, Nan-Jung
- 190-202 Choice of generalized linear mixed models using predictive crossvalidation
by Braun, Julia & Sabanés Bové, Daniel & Held, Leonhard
- 203-216 Finding the limit of diverging components in three-way Candecomp/Parafac—A demonstration of its practical merits
by Stegeman, Alwin
- 217-226 The influence of a covariate on optimal designs in longitudinal studies with discrete-time survival endpoints
by Safarkhani, Maryam & Moerbeek, Mirjam
- 227-238 Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components
by Baran, Sándor
- 239-247 A hybrid approach for regression analysis with block missing data
by Li, Zhengbang & Li, Qizhai & Han, Chien-Pai & Li, Bo
- 248-264 Computing confidence intervals for log-concave densities
by Azadbakhsh, Mahdis & Jankowski, Hanna & Gao, Xin
2014, Volume 74, Issue C
- 1-16 Wald-type rank tests: A GEE approach
by Fan, Chunpeng & Zhang, Donghui
- 17-25 Improving mixture tree construction using better EM algorithms
by Chen, Shu-Chuan (Grace) & Lindsay, Bruce
- 26-38 A high-dimensional two-sample test for the mean using random subspaces
by Thulin, Måns
- 39-51 Sample size determination for paired right-censored data based on the difference of Kaplan–Meier estimates
by Su, Pei-Fang & Li, Chung-I & Shyr, Yu
- 52-63 Analysis of multivariate survival data with Clayton regression models under conditional and marginal formulations
by He, W.
- 64-80 A dynamic linear model with extended skew-normal for the initial distribution of the state parameter
by Cabral, Celso Rômulo Barbosa & da-Silva, Cibele Queiroz & Migon, Helio S.
- 81-94 Fast balanced sampling for highly stratified population
by Hasler, Caren & Tillé, Yves
- 95-109 TVICA—Time varying independent component analysis and its application to financial data
by Chen, Ray-Bing & Chen, Ying & Härdle, Wolfgang K.
- 110-124 Improved likelihood inference in generalized linear models
by Vargas, Tiago M. & Ferrari, Silvia L.P. & Lemonte, Artur J.
- 125-141 Spatial prediction in the presence of left-censoring
by Schelin, Lina & Sjöstedt-de Luna, Sara
- 142-156 On the maximum penalized likelihood approach for proportional hazard models with right censored survival data
by Ma, Jun & Heritier, Stephane & Lô, Serigne N.
- 157-179 Dimension reduction in principal component analysis for trees
by Alfaro, Carlos A. & Aydın, Burcu & Valencia, Carlos E. & Bullitt, Elizabeth & Ladha, Alim
- 181-197 Learning algorithms may perform worse with increasing training set size: Algorithm–data incompatibility
by Yousef, Waleed A. & Kundu, Subrata
- 198-208 Bayesian semiparametric model for spatially correlated interval-censored survival data
by Pan, Chun & Cai, Bo & Wang, Lianming & Lin, Xiaoyan
- 209-216 Least squares estimation of a k-monotone density function
by Chee, Chew-Seng & Wang, Yong
- 217-227 Sample size calculation for the proportional hazards model with a time-dependent covariate
by Wang, Songfeng & Zhang, Jiajia & Lu, Wenbin
2014, Volume 73, Issue C
- 1-15 Exploratory time varying lagged regression: Modeling association of cognitive and functional trajectories with expected clinic visits in older adults
by Şentürk, Damla & Ghosh, Samiran & Nguyen, Danh V.
- 16-26 Eliminating bias due to censoring in Kendall’s tau estimators for quasi-independence of truncation and failure
by Austin, Matthew D. & Betensky, Rebecca A.
- 27-39 A non-parametric method to estimate the number of clusters
by Fujita, André & Takahashi, Daniel Y. & Patriota, Alexandre G.
- 40-52 Efficient optimization of the likelihood function in Gaussian process modelling
by Butler, A. & Haynes, R.D. & Humphries, T.D. & Ranjan, P.
- 53-68 Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data
by Rachdi, Mustapha & Laksaci, Ali & Demongeot, Jacques & Abdali, Abdel & Madani, Fethi
- 69-86 Asymptotic distributions for quasi-efficient estimators in echelon VARMA models
by Dufour, Jean-Marie & Jouini, Tarek
- 87-102 Efficient estimation of the link function parameter in a robust Bayesian binary regression model
by Roy, Vivekananda
- 103-111 Nonparametric tests for panel count data with unequal observation processes
by Li, Yang & Zhao, Hui & Sun, Jianguo & Kim, KyungMann
- 112-128 Confidence intervals for quantiles in finite populations with randomized nomination sampling
by Nourmohammadi, Mohammad & Jafari Jozani, Mohammad & Johnson, Brad C.
- 129-145 Asymptotic distribution of the EPMS estimator for financial derivatives pricing
by Huang, Shih-Feng & Tu, Ya-Ting
- 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
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