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ORCIDComputational Statistics & Data Analysis, Volume 52
Volume 52, Number 1, September 2007
- Manfred Gilli, Peter Winker
:
2nd Special Issue on Applications of Optimization Heuristics to Estimation and Modelling Problems. 2-3
- George Kapetanios:
Variable selection in regression models using nonstandard optimisation of information criteria. 4-15 - Marc Hofmann, Cristian Gatu, Erricos John Kontoghiorghes:
Efficient algorithms for computing the best subset regression models for large-scale problems. 16-29 - Federico Ambrogi, Nicola Lama, Patrizia Boracchi, Elia Biganzoli:
Selection of artificial neural network models for survival analysis with Genetic Algorithms. 30-42 - Luiz Duczmal, André Luiz Fernandes Cançado, Ricardo H. C. Takahashi, Lupércio F. Bessegato:
A genetic algorithm for irregularly shaped spatial scan statistics. 43-52 - Timur Keskintürk, Sebnem Er:
A genetic algorithm approach to determine stratum boundaries and sample sizes of each stratum in stratified sampling. 53-67 - Thiemo Krink, Sandra Paterlini, Andrea Resti:
Using differential evolution to improve the accuracy of bank rating systems. 68-87 - Bernd Fitzenberger, Peter Winker:
Improving the computation of censored quantile regressions. 88-108 - Zheng Yang, Zheng Tian, Zixia Yuan:
GSA-based maximum likelihood estimation for threshold vector error correction model. 109-120 - Anna Staszewska:
Representing uncertainty about response paths: The use of heuristic optimisation methods. 121-132 - M. M. Ali:
Synthesis of the beta-distribution as an aid to stochastic global optimization. 133-149
- Christophe Croux, Efstratios Gallopoulos, Stefan Van Aelst, Hongyuan Zha:
Machine Learning and Robust Data Mining. 151-154 - Michael W. Berry, Murray Browne, Amy Nicole Langville, V. Paul Pauca, Robert J. Plemmons:
Algorithms and applications for approximate nonnegative matrix factorization. 155-173 - Jane Tougas, Raymond J. Spiteri:
Updating the partial singular value decomposition in latent semantic indexing. 174-183 - Hongyuan Zha, Zhenyue Zhang:
Continuum Isomap for manifold learnings. 184-200 - Sio Iong Ao, Michael K. Ng, Pak Chung Sham:
Constrained unidimensional scaling with application to genomics. 201-210 - Shuo Chen, Don Hong, Yu Shyr:
Wavelet-based procedures for proteomic mass spectrometry data processing. 211-220 - Roland Fried, Ursula Gather:
On rank tests for shift detection in time series. 221-233 - Tadeusz Bednarski:
On a robust modification of Breslow's cumulated hazard estimator. 234-238 - Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar:
Building a robust linear model with forward selection and stepwise procedures. 239-248 - Lauren McCann, Roy E. Welsch:
Robust variable selection using least angle regression and elemental set sampling. 249-257 - Christian Hennig:
Cluster-wise assessment of cluster stability. 258-271 - Anthony C. Atkinson, Marco Riani:
Exploratory tools for clustering multivariate data. 272-285 - Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar:
CLUES: A non-parametric clustering method based on local shrinking. 286-298 - N. M. Neykov, Peter Filzmoser, R. Dimova, P. N. Neytchev:
Robust fitting of mixtures using the trimmed likelihood estimator. 299-308 - Alexander N. Dolia, Christopher J. Harris, John Shawe-Taylor, D. Mike Titterington:
Kernel ellipsoidal trimming. 309-324 - C. Andy Tsao, Yuan-chin Ivan Chang:
A stochastic approximation view of boosting. 325-334 - Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, Su-Yun Huang:
Model selection for support vector machines via uniform design. 335-346 - Andreas Christmann, Ingo Steinwart, Mia Hubert:
Robust learning from bites for data mining. 347-361 - Christophe Croux, Kristel Joossens, Aurélie Lemmens:
Trimmed bagging. 362-368
- Hans-Hermann Bock, Maurizio Vichi:
Statistical Learning Methods Including Dimensionality Reduction. 370-373 - Nicolai Meinshausen:
Relaxed Lasso. 374-393 - Yoshio Takane, Heungsun Hwang:
Regularized linear and kernel redundancy analysis. 394-405 - Timo Similä, Jarkko Tikka:
Input selection and shrinkage in multiresponse linear regression. 406-422 - Jurjen Duintjer Tebbens, Pavel Schlesinger:
Improving implementation of linear discriminant analysis for the high dimension/small sample size problem. 423-437 - Luca Scrucca:
Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression. 438-451 - Chunming Zhang, Haoda Fu, Yuan Jiang, Tao Yu:
High-dimensional pseudo-logistic regression and classification with applications to gene expression data. 452-470 - Daniela G. Calò:
Gaussian mixture model classification: A projection pursuit approach. 471-482 - Carolin Strobl, Anne-Laure Boulesteix, Thomas Augustin:
Unbiased split selection for classification trees based on the Gini Index. 483-501 - Charles Bouveyron, Stéphane Girard, Cordelia Schmid:
High-dimensional data clustering. 502-519 - Giuliano Galimberti, Gabriele Soffritti:
Model-based methods to identify multiple cluster structures in a data set. 520-536 - Iven Van Mechelen, Jan Schepers:
A unifying model involving a categorical and/or dimensional reduction for multimode data. 537-549 - Jonathan A. Cumming, David A. Wooff:
Dimension reduction via principal variables. 550-565 - Rosaria Lombardo, Eric J. Beh, Luigi D'Ambra:
Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials. 566-577 - José Ramón Quevedo, Antonio Bahamonde, Oscar Luaces:
A simple and efficient method for variable ranking according to their usefulness for learning. 578-595 - Marie Plasse, Ndeye Niang, Gilbert Saporta, Alexandre Villeminot, Laurent Leblond:
Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set. 596-613
Volume 52, Number 2, October 2007
- Cristian Gatu, James Gentle, John Hinde, Moon Huh:
Special Issue on Statistical Algorithms and Software. 616-617 - Markus Krätzig:
A software framework for data analysis. 618-634 - Tomàs Aluja-Banet, Josep Daunis-i-Estadella, David Pellicer:
GRAFT, a complete system for data fusion. 635-649 - Takeshi Fujiwara, Junji Nakano, Yoshikazu Yamamoto:
Using mathematical expressions in a statistical language. 650-662 - Michael Massmann:
Cobra: A package for co-breaking analysis. 663-679 - Michael Höhle, Ulrike Feldmann:
RLadyBug - An R package for stochastic epidemic models. 680-686 - Marie Chavent, Yves Lechevallier, Olivier Briant:
DIVCLUS-T: A monothetic divisive hierarchical clustering method. 687-701 - W. T. P. S. Fernando, D. D. S. Kulatunga:
On the computation and some applications of multivariate isotonic regression. 702-712 - Josef Tvrdík, Ivan Krivý, Ladislav Misík:
Adaptive population-based search: Application to estimation of nonlinear regression parameters. 713-724 - Jens Gramm, Jiong Guo, Falk Hüffner, Rolf Niedermeier, Hans-Peter Piepho, Ramona Schmid:
Algorithms for compact letter displays: Comparison and evaluation. 725-736 - Farid Beninel, Gérard Grélaud:
Exact algorithms for computing p-values of statistics-linear combination of 3-nomial variables. 737-749 - Byung-Hoon Park, George Ostrouchov, Nagiza F. Samatova:
Sampling streaming data with replacement. 750-762 - Thorsten Bernholt, Robin Nunkesser, Karen Schettlinger:
Computing the least quartile difference estimator in the plane. 763-772 - Stefano Maria Iacus, Giuseppe Porro:
Missing data imputation, matching and other applications of random recursive partitioning. 773-789 - Guido Consonni, Jean-Michel Marin:
Mean-field variational approximate Bayesian inference for latent variable models. 790-798 - Cristian Gatu, Petko Yanev, Erricos John Kontoghiorghes:
A graph approach to generate all possible regression submodels. 799-815
- D. S. G. Pollock, Tommaso Proietti:
2nd Special Issue on Statistical Signal Extraction and Filtering. 817-820 - Bart Bakker, Tom Heskes:
Learning and approximate inference in dynamic hierarchical models. 821-839 - Vladimir Shin, Georgy Shevlyakov, Kiseon Kim:
A new fusion formula and its application to continuous-time linear systems with multisensor environment. 840-854 - Katy Klauenberg, Francesco Lagona:
Hidden Markov random field models for TCA image analysis. 855-868 - Phil G. Howlett, Anatoli Torokhti, Charles E. M. Pearce:
Optimal multilinear estimation of a random vector under constraints of causality and limited memory. 869-878 - Elizabeth Ann Maharaj, Andrés M. Alonso:
Discrimination of locally stationary time series using wavelets. 879-895 - Gianluca Cubadda:
A unifying framework for analysing common cyclical features in cointegrated time series. 896-906 - Camilla Mastromarco, Ulrich Woitek:
Regional business cycles in Italy. 907-918 - Claudio Morana:
Multivariate modelling of long memory processes with common components. 919-934 - Tommaso Proietti:
Signal extraction and filtering by linear semiparametric methods. 935-958 - Howard L. Weinert:
Efficient computation for Whittaker-Henderson smoothing. 959-974 - Agustín Maravall, A. del Río:
Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter. 975-998 - Marcos Bujosa, Antonio García-Ferrer, Peter C. Young:
Linear dynamic harmonic regression. 999-1024 - Kostas Triantafyllopoulos, Guy P. Nason:
A Bayesian analysis of moving average processes with time-varying parameters. 1025-1046 - Sergio Ledesma, Derong Liu, Donato Hernández:
Two approximation methods to synthesize the power spectrum of fractional Gaussian noise. 1047-1062 - Roland Fried:
On the robust detection of edges in time series filtering. 1063-1074
- Sabine Van Huffel, Chi-Lun Cheng, Nicola Mastronardi, Chris Paige, Alexander Kukush:
Total Least Squares and Errors-in-variables Modeling. 1076-1079 - G. A. Watson:
Robust counterparts of errors-in-variables problems. 1080-1089 - Jörg Lampe, Heinrich Voss:
On a quadratic eigenproblem occurring in regularized total least squares. 1090-1102 - Diana Maria Sima, Sabine Van Huffel:
Level choice in truncated total least squares. 1103-1118 - Nicola Mastronardi, Dianne P. O'Leary:
Fast robust regression algorithms for problems with Toeplitz structure. 1119-1131 - Mario de Castro, Manuel Galea-Rojas, Heleno Bolfarine:
Local influence assessment in heteroscedastic measurement error models. 1132-1142 - Hans Schneeweiss, H. Shalabh:
On the estimation of the linear relation when the error variances are known. 1143-1148 - Shalabh, Gaurav Garg, Neeraj Misra:
Restricted regression estimation in measurement error models. 1149-1166 - Alexander Kukush, Ivan Markovsky, Sabine Van Huffel:
Estimation in a linear multivariate measurement error model with a change point in the data. 1167-1182 - Kimmo Vehkalahti, Simo Puntanen, Lauri Tarkkonen:
Effects of measurement errors in predictor selection of linear regression model. 1183-1195 - Michelli Barros, Viviana Giampaoli, Claudia R. O. P. Lima:
Hypothesis testing in the unrestricted and restricted parametric spaces of structural models. 1196-1207 - Ken-ichi Kanatani, Yasuyuki Sugaya:
Performance evaluation of iterative geometric fitting algorithms. 1208-1222 - Ivo Petrás, Igor Podlubny:
State space description of national economies: The V4 countries. 1223-1233 - José A. Ramos:
Applications of TLS and related methods in the environmental sciences. 1234-1267
Volume 52, Number 3, January 2008
- P.-A. Cornillon, W. Imam, E. Matzner-Løber:
Forecasting time series using principal component analysis with respect to instrumental variables. 1269-1280 - Miguel González, Jacinto Martín, Rodrigo Martínez, Manuel Mota:
Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods. 1281-1291 - Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen:
Time-adaptive quantile regression. 1292-1303 - Quanxi Shao, Yongqin D. Chen, Lu Zhang:
An extension of three-parameter Burr III distribution for low-flow frequency analysis. 1304-1314 - Nicolas Wicker, Jean Muller, Ravi Kiran Reddy Kalathur, Olivier Poch:
A maximum likelihood approximation method for Dirichlet's parameter estimation. 1315-1322 - Paul N. Somerville, Claudia Hemmelmann:
Step-up and step-down procedures controlling the number and proportion of false positives. 1323-1334 - James D. Stamey, Doyle H. Boese, Dean M. Young:
Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard. 1335-1346 - Remus K. W. Ho, Inchi Hu:
Flexible modelling of random effects in linear mixed models - A Bayesian approach. 1347-1361
- J. Brian Gray, Guangzhe Fan:
Classification tree analysis using TARGET. 1362-1372 - David J. Marchette, Carey E. Priebe:
Predicting unobserved links in incompletely observed networks. 1373-1386 - Guei-Feng Tsai, Annie Qu:
Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions. 1387-1398 - Chu-Chih Chen:
Extended rank analysis of covariance adjusting for local correlations. 1399-1412 - Takahiro Hoshino:
A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm. 1413-1429 - Khalaf S. Sultan, G. R. Al-Dayian, H. H. Mohammad:
Estimation and prediction from gamma distribution based on record values. 1430-1440 - Rolando De la Cruz-Mesía, Fernando A. Quintana, Guillermo Marshall:
Model-based clustering for longitudinal data. 1441-1457 - Heung Wong, Wai-Cheung Ip, Riquan Zhang:
Varying-coefficient single-index model. 1458-1476 - Leandro Pardo, M. C. Pardo:
An extension of likelihood-ratio-test for testing linear hypotheses in the baseline-category logit model. 1477-1489 - Seng Huat Ong, K. Shimizu, Choung Min Ng:
A class of discrete distributions arising from difference of two random variables. 1490-1499 - Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho:
Centre and Range method for fitting a linear regression model to symbolic interval data. 1500-1515 - Arthur Pewsey:
The wrapped stable family of distributions as a flexible model for circular data. 1516-1523 - Binbing Yu, Yingwei Peng:
Mixture cure models for multivariate survival data. 1524-1532 - Caroline Beunckens, Cristina Sotto, Geert Molenberghs:
A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data. 1533-1548 - D. Giannikis, I. D. Vrontos, Petros Dellaportas:
Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models. 1549-1571 - S. T. Bate, E. J. Godolphin, Janet D. Godolphin:
Choosing cross-over designs when few subjects are available. 1572-1586 - Jun-Wu Yu, Guo-Liang Tian, Man-Lai Tang:
Statistical inference and prediction for the Weibull process with incomplete observations. 1587-1603 - Michiel Debruyne, Mia Hubert, Stephen Portnoy, K. Vanden Branden:
Censored depth quantiles. 1604-1614 - María Concepción Ausín, Michael P. Wiper, Rosa E. Lillo:
Bayesian prediction of the transient behaviour and busy period in short- and long-tailed GI/G/1 queueing systems. 1615-1635 - Chang Yu, Daniel Zelterman:
Sums of exchangeable Bernoulli random variables for family and litter frequency data. 1636-1649 - Lila Ricci, Raúl Martínez:
Adjusted R2-type measures for Tweedie models. 1650-1660 - Pedro Delicado, M. N. Goria:
A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution. 1661-1673 - Andrew Golightly, Darren J. Wilkinson:
Bayesian inference for nonlinear multivariate diffusion models observed with error. 1674-1693