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Content
January 2008, Volume 52, Issue 5
- 2496-2503 A new approach of goodness-of-fit testing for exponentiated laws applied to the generalized Rayleigh distribution
by Meintanis, Simos G.
- 2504-2513 Testing the random walk hypothesis through robust estimation of correlation
by Semenov, Andrei
- 2514-2528 Stacked Laplace-EM algorithm for duration models with time-varying and random effects
by Kauermann, Goran & Xu, Ronghui & Vaida, Florin
- 2529-2537 Fitting generalized linear models with unspecified link function: A P-spline approach
by Muggeo, Vito M.R. & Ferrara, Giancarlo
- 2538-2548 Improved AIC selection strategy for survival analysis
by Liang, Hua & Zou, Guohua
- 2549-2559 LogitBoost with errors-in-variables
by Sexton, Joseph & Laake, Petter
- 2560-2577 Point estimates for variance-structure parameters in Bayesian analysis of hierarchical models
by He, Yi & Hodges, James S.
- 2578-2587 Classification of gene functions using support vector machine for time-course gene expression data
by Park, Changyi & Koo, Ja-Yong & Kim, Sujong & Sohn, Insuk & Lee, Jae Won
- 2588-2603 Spectral preconditioning of Krylov spaces: Combining PLS and PC regression
by Kondylis, Athanassios & Whittaker, Joe
- 2604-2622 Efficient and accurate approximate Bayesian inference with an application to insurance data
by Streftaris, George & Worton, Bruce J.
- 2623-2631 Nonparametric estimation of conditional ROC curves: Application to discrimination tasks in computerized detection of early breast cancer
by Lopez-de-Ullibarri, Ignacio & Cao, Ricardo & Cadarso-Suarez, Carmen & Lado, Maria J.
- 2632-2649 Bayesian model determination for multivariate ordinal and binary data
by Webb, Emily L. & Forster, Jonathan J.
- 2650-2668 Hierarchical multiresolution approaches for dense point-level breast cancer treatment data
by Liang, Shengde & Banerjee, Sudipto & Bushhouse, Sally & Finley, Andrew O. & Carlin, Bradley P.
- 2669-2681 Improving the performance of kurtosis estimator
by An, Lihua & Ahmed, S. Ejaz
- 2682-2691 Consistent estimation in regression models for the drift function in some continuous time models
by Kim, Myung Suk & Wang, Suojin
- 2692-2702 On the hazard function of Birnbaum-Saunders distribution and associated inference
by Kundu, Debasis & Kannan, Nandini & Balakrishnan, N.
- 2703-2713 Increasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors
by Xie, Xian-Jin & Pendergast, Jane & Clarke, William
- 2714-2724 Large sample approximations for the LR statistic for equality of the smallest eigenvalues of a covariance matrix under elliptical population
by Watanabe, Daisuke & Okada, Susumu & Fujikoshi, Yasunori & Sugiyama, Takakazu
- 2725-2738 Exact likelihood inference for two exponential populations under joint Type-II censoring
by Balakrishnan, N. & Rasouli, Abbas
- 2739-2756 Approximate regenerative-block bootstrap for Markov chains
by Bertail, Patrice & Clemencon, Stephan
- 2757-2777 Local polynomial estimation in partial linear regression models under dependence
by Aneiros-Perez, G. & Vilar-Fernandez, J.M.
- 2778-2793 On properties of predictors derived with a two-step bootstrap model averaging approach--A simulation study in the linear regression model
by Buchholz, Anika & Hollander, Norbert & Sauerbrei, Willi
- 2794-2807 Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields
by Cressie, Noel & Verzelen, Nicolas
- 2808-2828 Robust bandwidth selection in semiparametric partly linear regression models: Monte Carlo study and influential analysis
by Boente, Graciela & Rodriguez, Daniela
- 2829-2839 Semi-parametric specification tests for mixing distributions
by Fang, Yue
January 2008, Volume 52, Issue 4
- 1765-1791 Interacting sequential Monte Carlo samplers for trans-dimensional simulation
by Jasra, Ajay & Doucet, Arnaud & Stephens, David A. & Holmes, Christopher C.
- 1792-1805 A time series bootstrap procedure for interpolation intervals
by Alonso, Andres M. & Sipols, Ana E.
- 1806-1820 Identify LD blocks based on hierarchical spatial data
by Tomita, Makoto & Hatsumichi, Masahiro & Kurihara, Koji
- 1821-1836 Bayes estimators for reliability measures in geometric distribution model using masked system life test data
by Sarhan, Ammar M. & Kundu, Debasis
- 1837-1849 Bootstrap confidence intervals for principal response curves
by Timmerman, Marieke E. & Ter Braak, Cajo J.F.
- 1850-1859 The likelihood ratio test for hidden Markov models in two-sample problems
by Dannemann, Jorn & Holzmann, Hajo
- 1860-1872 Time series clustering and classification by the autoregressive metric
by Corduas, Marcella & Piccolo, Domenico
- 1873-1883 Generalized exponential distribution: Bayesian estimations
by Kundu, Debasis & Gupta, Rameshwar D.
- 1884-1895 Fourier methods for testing multivariate independence
by Meintanis, Simos G. & Iliopoulos, George
- 1896-1907 Fixed-effect variable selection in linear mixed models using R2 statistics
by Orelien, Jean G. & Edwards, Lloyd J.
- 1908-1927 Sliced mean variance-covariance inverse regression
by Sheather, Simon J. & McKean, Joseph W. & Crimin, Kimberly
- 1928-1941 A local boosting algorithm for solving classification problems
by Zhang, Chun-Xia & Zhang, Jiang-She
- 1942-1957 Self-controlled case series analyses: Small-sample performance
by Musonda, Patrick & Hocine, Mounia N. & Whitaker, Heather J. & Farrington, C. Paddy
- 1958-1970 Assessing continuous bivariate effects among different groups through nonparametric regression models: An application to breast cancer detection
by Roca-Pardinas, Javier & Cadarso-Suarez, Carmen & Tahoces, Pablo G. & Lado, Maria J.
- 1971-1983 Characterizing the generalized lambda distribution by L-moments
by Karvanen, Juha & Nuutinen, Arto
- 1984-2003 Two-mode multi-partitioning
by Rocci, Roberto & Vichi, Maurizio
- 2004-2021 Bootstrap variants of the Akaike information criterion for mixed model selection
by Shang, Junfeng & Cavanaugh, Joseph E.
- 2022-2041 Subsampling techniques and the Jackknife methodology in the estimation of the extremal index
by Gomes, M. Ivette & Hall, Andreia & Miranda, M. Cristina
- 2042-2065 Maximum trimmed likelihood estimator for multivariate mixed continuous and categorical data
by Cheng, Tsung-Chi & Biswas, Atanu
- 2066-2078 On multistage ranked set sampling for distribution and median estimation
by Al-Saleh, Mohammad Fraiwan & Samuh, Monjed Hisham
- 2079-2097 Lifetime analysis based on the generalized Birnbaum-Saunders distribution
by Leiva, Victor & Riquelme, Marco & Balakrishnan, N. & Sanhueza, Antonio
- 2098-2109 How useful are approximations to mean and variance of the index of dissimilarity?
by Mulekar, Madhuri S. & Knutson, John C. & Champanerkar, Jyoti A.
- 2110-2128 Parametric and nonparametric Bayesian model specification: A case study involving models for count data
by Krnjajic, Milovan & Kottas, Athanasios & Draper, David
- 2129-2157 Semi-parametric nonlinear regression and transformation using functional networks
by Castillo, Enrique & Hadi, Ali S. & Lacruz, Beatriz & Pruneda, Rosa E.
- 2158-2165 Simultaneous confidence intervals based on the percentile bootstrap approach
by Mandel, Micha & Betensky, Rebecca A.
- 2166-2176 Faster ARMA maximum likelihood estimation
by McLeod, A.I. & Zhang, Y.
- 2177-2184 Social networks of author-coauthor relationships
by Said, Yasmin H. & Wegman, Edward J. & Sharabati, Walid K. & Rigsby, John T.
- 2185-2198 A goodness-of-fit test for normality based on polynomial regression
by Coin, Daniele
- 2199-2217 Performance of balanced two-stage empirical predictors of realized cluster latent values from finite populations: A simulation study
by San Martino, Silvina & Singer, Julio M. & Stanek III, Edward J.
- 2218-2227 ANOVA extensions for mixed discrete and continuous data
by de Leon, A.R. & Zhu, Y.
- 2228-2237 On the number of principal components: A test of dimensionality based on measurements of similarity between matrices
by Dray, Stephane
- 2238-2248 Confidence intervals for the difference between two means
by Miao, Weiwen & Chiou, Paul
- 2249-2260 Empirical characterization of random forest variable importance measures
by Archer, Kellie J. & Kimes, Ryan V.
- 2261-2271 On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept
by Demirtas, Hakan
January 2008, Volume 52, Issue 3
- 1269-1280 Forecasting time series using principal component analysis with respect to instrumental variables
by Cornillon, P.-A. & Imam, W. & Matzner-Lober, E.
- 1281-1291 Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods
by Gonzalez, M. & Martin, J. & Martinez, R. & Mota, M.
- 1292-1303 Time-adaptive quantile regression
by Moller, Jan Kloppenborg & Nielsen, Henrik Aalborg & Madsen, Henrik
- 1304-1314 An extension of three-parameter Burr III distribution for low-flow frequency analysis
by Shao, Quanxi & Chen, Yongqin D. & Zhang, Lu
- 1315-1322 A maximum likelihood approximation method for Dirichlet's parameter estimation
by Wicker, Nicolas & Muller, Jean & Kalathur, Ravi Kiran Reddy & Poch, Olivier
- 1323-1334 Step-up and step-down procedures controlling the number and proportion of false positives
by Somerville, Paul N. & Hemmelmann, Claudia
- 1335-1346 Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard
by Stamey, James D. & Boese, Doyle H. & Young, Dean M.
- 1347-1361 Flexible modelling of random effects in linear mixed models--A Bayesian approach
by Ho, Remus K.W. & Hu, Inchi
- 1362-1372 Classification tree analysis using TARGET
by Gray, J. Brian & Fan, Guangzhe
- 1373-1386 Predicting unobserved links in incompletely observed networks
by Marchette, David J. & Priebe, Carey E.
- 1387-1398 Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions
by Tsai, Guei-Feng & Qu, Annie
- 1399-1412 Extended rank analysis of covariance adjusting for local correlations
by Chen, Chu-Chih
- 1413-1429 A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm
by Hoshino, Takahiro
- 1430-1440 Estimation and prediction from gamma distribution based on record values
by Sultan, K.S. & AL-Dayian, G.R. & Mohammad, H.H.
- 1441-1457 Model-based clustering for longitudinal data
by De la Cruz-Mesia, Rolando & Quintana, Fernando A. & Marshall, Guillermo
- 1458-1476 Varying-coefficient single-index model
by Wong, Heung & Ip, Wai-cheung & Zhang, Riquan
- 1477-1489 An extension of likelihood-ratio-test for testing linear hypotheses in the baseline-category logit model
by Pardo, L. & Pardo, M.C.
- 1490-1499 A class of discrete distributions arising from difference of two random variables
by Ong, S.H. & Shimizu, K. & Min Ng, Choung
- 1500-1515 Centre and Range method for fitting a linear regression model to symbolic interval data
by Lima Neto, Eufrasio de A. & de Carvalho, Francisco de A.T.
- 1516-1523 The wrapped stable family of distributions as a flexible model for circular data
by Pewsey, Arthur
- 1524-1532 Mixture cure models for multivariate survival data
by Yu, Binbing & Peng, Yingwei
- 1533-1548 A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data
by Beunckens, Caroline & Sotto, Cristina & Molenberghs, Geert
- 1549-1571 Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models
by Giannikis, D. & Vrontos, I.D. & Dellaportas, P.
- 1572-1586 Choosing cross-over designs when few subjects are available
by Bate, S.T. & Godolphin, E.J. & Godolphin, J.D.
- 1587-1603 Statistical inference and prediction for the Weibull process with incomplete observations
by Yu, Jun-Wu & Tian, Guo-Liang & Tang, Man-Lai
- 1604-1614 Censored depth quantiles
by Debruyne, M. & Hubert, M. & Portnoy, S. & Vanden Branden, K.
- 1615-1635 Bayesian prediction of the transient behaviour and busy period in short- and long-tailed GI/G/1 queueing systems
by Ausin, M. Concepcion & Wiper, Michael P. & Lillo, Rosa E.
- 1636-1649 Sums of exchangeable Bernoulli random variables for family and litter frequency data
by Yu, Chang & Zelterman, Daniel
- 1650-1660 Adjusted R2-type measures for Tweedie models
by Ricci, Lila & Martinez, Raul
- 1661-1673 A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution
by Delicado, P. & Goria, M.N.
- 1674-1693 Bayesian inference for nonlinear multivariate diffusion models observed with error
by Golightly, A. & Wilkinson, D.J.
- 1694-1711 Outlier identification in high dimensions
by Filzmoser, Peter & Maronna, Ricardo & Werner, Mark
- 1712-1727 Principal component analysis for data containing outliers and missing elements
by Serneels, Sven & Verdonck, Tim
- 1728-1745 Estimation in bivariate nonnormal distributions with stochastic variance functions
by Tiku, Moti L. & Islam, M. Qamarul & Sazak, Hakan S.
- 1746-1763 Computing and using residuals in time series models
by Mauricio, Jose Alberto
October 2007, Volume 52, Issue 2
- 616-617 Special Issue on Statistical Algorithms and Software
by Gatu, Cristian & Gentle, James & Hinde, John & Huh, Moon
- 618-634 A software framework for data analysis
by Kratzig, Markus
- 635-649 GRAFT, a complete system for data fusion
by Aluja-Banet, Tomas & Daunis-i-Estadella, Josep & Pellicer, David
- 650-662 Using mathematical expressions in a statistical language
by Fujiwara, Takeshi & Nakano, Junji & Yamamoto, Yoshikazu
- 663-679 Cobra: A package for co-breaking analysis
by Massmann, Michael
- 680-686 RLadyBug--An R package for stochastic epidemic models
by Hohle, Michael & Feldmann, Ulrike
- 687-701 DIVCLUS-T: A monothetic divisive hierarchical clustering method
by Chavent, Marie & Lechevallier, Yves & Briant, Olivier
- 702-712 On the computation and some applications of multivariate isotonic regression
by Fernando, W.T.P.S. & Kulatunga, D.D.S.
- 713-724 Adaptive population-based search: Application to estimation of nonlinear regression parameters
by Tvrdik, Josef & Krivy, Ivan & Misik, Ladislav
- 725-736 Algorithms for compact letter displays: Comparison and evaluation
by Gramm, Jens & Guo, Jiong & Huffner, Falk & Niedermeier, Rolf & Piepho, Hans-Peter & Schmid, Ramona
- 737-749 Exact algorithms for computing p-values of statistics-linear combination of 3-nomial variables
by Beninel, Farid & Grelaud, Gerard
- 750-762 Sampling streaming data with replacement
by Park, Byung-Hoon & Ostrouchov, George & Samatova, Nagiza F.
- 763-772 Computing the least quartile difference estimator in the plane
by Bernholt, Thorsten & Nunkesser, Robin & Schettlinger, Karen
- 773-789 Missing data imputation, matching and other applications of random recursive partitioning
by Iacus, Stefano M. & Porro, Giuseppe
- 790-798 Mean-field variational approximate Bayesian inference for latent variable models
by Consonni, Guido & Marin, Jean-Michel
- 799-815 A graph approach to generate all possible regression submodels
by Gatu, Cristian & Yanev, Petko I. & Kontoghiorghes, Erricos J.
- 817-820 2nd Special Issue on Statistical Signal Extraction and Filtering
by Pollock, D.S.G. & Proietti, Tommaso
- 821-839 Learning and approximate inference in dynamic hierarchical models
by Bakker, Bart & Heskes, Tom
- 840-854 A new fusion formula and its application to continuous-time linear systems with multisensor environment
by Shin, Vladimir & Shevlyakov, Georgy & Kim, Kiseon
- 855-868 Hidden Markov random field models for TCA image analysis
by Klauenberg, Katy & Lagona, Francesco
- 869-878 Optimal multilinear estimation of a random vector under constraints of causality and limited memory
by Howlett, P.G. & Torokhti, A. & Pearce, C.E.M.
- 879-895 Discrimination of locally stationary time series using wavelets
by Maharaj, Elizabeth A. & Alonso, Andres M.
- 896-906 A unifying framework for analysing common cyclical features in cointegrated time series
by Cubadda, Gianluca
- 907-918 Regional business cycles in Italy
by Mastromarco, Camilla & Woitek, Ulrich
- 919-934 Multivariate modelling of long memory processes with common components
by Morana, Claudio
- 935-958 Signal extraction and filtering by linear semiparametric methods
by Proietti, Tommaso
- 959-974 Efficient computation for Whittaker-Henderson smoothing
by Weinert, Howard L.
- 975-998 Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter
by Maravall, A. & del Rio, A.
- 999-1024 Linear dynamic harmonic regression
by Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C.
- 1025-1046 A Bayesian analysis of moving average processes with time-varying parameters
by Triantafyllopoulos, K. & Nason, G.P.
- 1047-1062 Two approximation methods to synthesize the power spectrum of fractional Gaussian noise
by Ledesma, Sergio & Liu, Derong & Hernandez, Donato
- 1063-1074 On the robust detection of edges in time series filtering
by Fried, Roland
- 1076-1079 Total Least Squares and Errors-in-variables Modeling
by Van Huffel, Sabine & Cheng, Chi-Lun & Mastronardi, Nicola & Paige, Chris & Kukush, Alexander
- 1080-1089 Robust counterparts of errors-in-variables problems
by Watson, G.A.
- 1090-1102 On a quadratic eigenproblem occurring in regularized total least squares
by Lampe, J. & Voss, H.
- 1103-1118 Level choice in truncated total least squares
by Sima, Diana M. & Van Huffel, Sabine
- 1119-1131 Fast robust regression algorithms for problems with Toeplitz structure
by Mastronardi, Nicola & O'Leary, Dianne P.
- 1132-1142 Local influence assessment in heteroscedastic measurement error models
by de Castro, Mario & Galea-Rojas, Manuel & Bolfarine, Heleno
- 1143-1148 On the estimation of the linear relation when the error variances are known
by Schneeweiss, H. & Shalabh, H.
- 1149-1166 Restricted regression estimation in measurement error models
by Shalabh & Garg, Gaurav & Misra, Neeraj
- 1167-1182 Estimation in a linear multivariate measurement error model with a change point in the data
by Kukush, A. & Markovsky, I. & Van Huffel, S.
- 1183-1195 Effects of measurement errors in predictor selection of linear regression model
by Vehkalahti, Kimmo & Puntanen, Simo & Tarkkonen, Lauri
- 1196-1207 Hypothesis testing in the unrestricted and restricted parametric spaces of structural models
by Barros, Michelli & Giampaoli, Viviana & Lima, Claudia R.O.P.
- 1208-1222 Performance evaluation of iterative geometric fitting algorithms
by Kanatani, Kenichi & Sugaya, Yasuyuki
- 1223-1233 State space description of national economies: The V4 countries
by Petras, Ivo & Podlubny, Igor
- 1234-1267 Applications of TLS and related methods in the environmental sciences
by Ramos, Jose A.
September 2007, Volume 52, Issue 1
- 2-3 2nd Special Issue on Applications of Optimization Heuristics to Estimation and Modelling Problems
by Gilli, Manfred & Winker, Peter
- 4-15 Variable selection in regression models using nonstandard optimisation of information criteria
by Kapetanios, George
- 16-29 Efficient algorithms for computing the best subset regression models for large-scale problems
by Hofmann, Marc & Gatu, Cristian & Kontoghiorghes, Erricos John
- 30-42 Selection of artificial neural network models for survival analysis with Genetic Algorithms
by Ambrogi, Federico & Lama, Nicola & Boracchi, Patrizia & Biganzoli, Elia
- 43-52 A genetic algorithm for irregularly shaped spatial scan statistics
by Duczmal, Luiz & Cancado, Andre L.F. & Takahashi, Ricardo H.C. & Bessegato, Lupercio F.
- 53-67 A genetic algorithm approach to determine stratum boundaries and sample sizes of each stratum in stratified sampling
by Keskinturk, Timur & Er, Sebnem
- 68-87 Using differential evolution to improve the accuracy of bank rating systems
by Krink, Thiemo & Paterlini, Sandra & Resti, Andrea
- 88-108 Improving the computation of censored quantile regressions
by Fitzenberger, Bernd & Winker, Peter
- 109-120 GSA-based maximum likelihood estimation for threshold vector error correction model
by Yang, Zheng & Tian, Zheng & Yuan, Zixia
- 121-132 Representing uncertainty about response paths: The use of heuristic optimisation methods
by Staszewska, Anna
- 133-149 Synthesis of the [beta]-distribution as an aid to stochastic global optimization
by Ali, M.M.
- 151-154 Machine Learning and Robust Data Mining
by Croux, Christophe & Gallopoulos, Efstratios & Van Aelst, Stefan & Zha, Hongyuan
- 155-173 Algorithms and applications for approximate nonnegative matrix factorization
by Berry, Michael W. & Browne, Murray & Langville, Amy N. & Pauca, V. Paul & Plemmons, Robert J.
- 174-183 Updating the partial singular value decomposition in latent semantic indexing
by Tougas, Jane E. & Spiteri, Raymond J.
- 184-200 Continuum Isomap for manifold learnings
by Zha, Hongyuan & Zhang, Zhenyue
- 201-210 Constrained unidimensional scaling with application to genomics
by Ao, S.I. & Ng, Michael K. & Sham, Pak C.
- 211-220 Wavelet-based procedures for proteomic mass spectrometry data processing
by Chen, Shuo & Hong, Don & Shyr, Yu
- 221-233 On rank tests for shift detection in time series
by Fried, Roland & Gather, Ursula
- 234-238 On a robust modification of Breslow's cumulated hazard estimator
by Bednarski, Tadeusz
- 239-248 Building a robust linear model with forward selection and stepwise procedures
by Khan, Jafar A. & Van Aelst, Stefan & Zamar, Ruben H.
- 249-257 Robust variable selection using least angle regression and elemental set sampling
by McCann, Lauren & Welsch, Roy E.
- 258-271 Cluster-wise assessment of cluster stability
by Hennig, Christian
- 272-285 Exploratory tools for clustering multivariate data
by Atkinson, A.C. & Riani, M.
- 286-298 CLUES: A non-parametric clustering method based on local shrinking
by Wang, Xiaogang & Qiu, Weiliang & Zamar, Ruben H.
- 299-308 Robust fitting of mixtures using the trimmed likelihood estimator
by Neykov, N. & Filzmoser, P. & Dimova, R. & Neytchev, P.
- 309-324 Kernel ellipsoidal trimming
by Dolia, A.N. & Harris, C.J. & Shawe-Taylor, J.S. & Titterington, D.M.
- 325-334 A stochastic approximation view of boosting
by Tsao, C. Andy & Chang, Yuan-chin Ivan
- 335-346 Model selection for support vector machines via uniform design
by Huang, Chien-Ming & Lee, Yuh-Jye & Lin, Dennis K.J. & Huang, Su-Yun
- 347-361 Robust learning from bites for data mining
by Christmann, Andreas & Steinwart, Ingo & Hubert, Mia
- 362-368 Trimmed bagging
by Croux, Christophe & Joossens, Kristel & Lemmens, Aurelie
- 370-373 Statistical Learning Methods Including Dimensionality Reduction
by Bock, Hans-Hermann & Vichi, Maurizio
- 374-393 Relaxed Lasso
by Meinshausen, Nicolai
- 394-405 Regularized linear and kernel redundancy analysis
by Takane, Yoshio & Hwang, Heungsun
- 406-422 Input selection and shrinkage in multiresponse linear regression
by Simila, Timo & Tikka, Jarkko
- 423-437 Improving implementation of linear discriminant analysis for the high dimension/small sample size problem
by Duintjer Tebbens, Jurjen & Schlesinger, Pavel
- 438-451 Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression
by Scrucca, Luca
- 452-470 High-dimensional pseudo-logistic regression and classification with applications to gene expression data
by Zhang, Chunming & Fu, Haoda & Jiang, Yuan & Yu, Tao
- 471-482 Gaussian mixture model classification: A projection pursuit approach
by Calo, Daniela G.
- 483-501 Unbiased split selection for classification trees based on the Gini Index
by Strobl, Carolin & Boulesteix, Anne-Laure & Augustin, Thomas
- 502-519 High-dimensional data clustering
by Bouveyron, C. & Girard, S. & Schmid, C.
- 520-536 Model-based methods to identify multiple cluster structures in a data set
by Galimberti, Giuliano & Soffritti, Gabriele
- 537-549 A unifying model involving a categorical and/or dimensional reduction for multimode data
by Van Mechelen, Iven & Schepers, Jan
- 550-565 Dimension reduction via principal variables
by Cumming, J.A. & Wooff, D.A.
- 566-577 Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials
by Lombardo, R. & Beh, E.J. & D'Ambra, L.
- 578-595 A simple and efficient method for variable ranking according to their usefulness for learning
by Quevedo, Jose R. & Bahamonde, Antonio & Luaces, Oscar
- 596-613 Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set
by Plasse, Marie & Niang, Ndeye & Saporta, Gilbert & Villeminot, Alexandre & Leblond, Laurent
August 2007, Volume 51, Issue 12
- 5467-5470 AMCMC: An R interface for adaptive MCMC
by Rosenthal, Jeffrey S.
- 5471-5476 Simulating from a multinomial distribution with large number of categories
by Malefaki, Sonia & Iliopoulos, George
- 5477-5482 On the choice of an auxiliary function in the M/G/[infinity] estimation
by Park, Juhyun
- 5483-5493 A semi-parametric approach for mixture models: Application to local false discovery rate estimation
by Robin, Stephane & Bar-Hen, Avner & Daudin, Jean-Jacques & Pierre, Laurent
- 5494-5506 A matching algorithm for the distribution of human pancreatic islets
by Qian, Dajun & Kaddis, John & Niland, Joyce C.
- 5507-5518 A Bayesian approach for analyzing a cluster-randomized trial with adjustment for risk misclassification
by Ren, Dianxu & Stone, Roslyn A.
- 5519-5536 A null space method for over-complete blind source separation
by Chen, Ray-Bing & Wu, Ying Nian
- 5537-5546 Covariance miss-specification and the local influence approach in sensitivity analyses of longitudinal data with drop-outs
by O'Hara Hines, R.J. & Hines, W.G.S.
- 5547-5561 Construction of marginally and conditionally restricted designs using multiplicative algorithms
by Martin-Martin, R. & Torsney, B. & Lopez-Fidalgo, J.
- 5562-5578 Nonparametric confidence intervals for population variance of one sample and the difference of variances of two samples
by Cojbasic, Vesna & Tomovic, Andrija
- 5579-5590 Extending a global sensitivity analysis technique to models with correlated parameters
by Xu, C. & Gertner, G.
- 5591-5602 Systematic sampling is a minimum support design
by Pea, Johan & Qualite, Lionel & Tille, Yves
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