ISBN: 3790815543
TITLE: COMPSAT 2004
AUTHOR: Antoch
TOC:

Invited papers
Grossmann W., Schimek M.G., Sint P.P., The history of COMPSTAT and key-steps of statistical computing during the last 30 years 1
Ali A.A., Jansson M., Hybrid algorithms for construction of D-efficient designs 37
Amari S., Park H., Ozeki T., Geometry of learning in in multilayer perceptrons 49
Braverman A., Kahn B., Visual data mining for quantized spatial data 61
Carr D.B., Sung M.-H., Graphs for representing statistics indexed by nucleotide or amino acid sequences 73
Chen, C.H. et al., Matrix visualization and information mining 85
Cramer K., Kamps U., Zuckschwerdt C., st-apps and 101
Critchley F. et al., The case sensitivity function approach to diagnostic and robust computation: A relaxation strategy 113
Cuevas A., Fraiman R., On the bootstrap methodology for functional data 127
Deistler M., Ribarits T., Hanzon B., A novel approach to parametrization and parameter estimation in linear dynamic systems 137
Fung W.K. et al., Statistical analysis of handwritten Arabic numerals in a Chinese population 149
Gather U., Fried R., Methods and algorithms for robust filtering 159
Gentleman R., Using GO for statistical analysis 171
Ghosh S., Computational challenges in determining an optimal design for an experiment 181
Groos J., Kopp-Schneider A., Visualization of parametric carcinogenesis models 189
Heinzl H., Mittlboeck M., Design aspects of a Computer simulation study for assessing uncertainty in human lifetime toxicokinetic models 199
Held L., Simultaneous inference in risk assessment; a Bayesian perspective 213
Hofmann H., Interactive biplots for visual modelling 223
Hornik K., R: The next generation 235
House L.L., Banks D., Robust multidimensional scaling 251
Hy M., Westad F., Martens H., Improved jackknife variance estimates of bilinear model parameters 261
Huh M.Y., Line mosaic plot: Algorithm and implementation 277
Kafadar K., Wegman E.J., Graphical displays of Internet traffic data 287
Kiers H.A.L., Clustering all three modes of three-mode data: Computational possibilities and problems 303
Kneip A., Sickles R.C., Song W., Functional data analysis and mixed effect models 315
Martinez A.R., Wegman E.J., Martinez W.L., Using weights with a text proximity matrix 327
Min W., Tsay R.S., On canonical analysis of vector time series 339
Neuwirth E., Learning statistics by doing or by describing: The role of software 351
Ostrouchov G., Samatova N.F., Embedding methods and robust statistics for dimension reduction 359
Pea D., Rodrguez J., Tiao G.C., A general partition cluster algorithm 371
Priebe C.E. et al., Iterative denoising for cross-corpus discovery 381
Ramsay J.O., From data to differential equations 393
Riani, M., Atkinson A., Simple simulations for robust tests of multiple outliers in regression 405
Saporta G., Bourdeau M., The St@tNet project for teaching statistics 417
Schimek M.G., Schmidt W., An automatic thresholding approach to gene expression analysis 429
Schlkopf B., Kernel methods for manifold estimation 441
Scott D.W., Outlier detection and clustering by partial mixture modeling 453
Shibata R., InterDatabase and DandD 465
Swayne D.F., Buja A., Exploratory visual analysis of graphs in GGobi 477
Tenenhaus M., PLS regression and PLS path modeling for multiple table analysis 489
Theus M., 1001 graphics 501
Torsney B., Fitting Bradley Terry Models using a multiplicative algorithm 513
Tunnicliffe-Wilson G., Morton A., Modelling multiple time series: Achieving the aims 527
Van Huffel S., Total least squares and errors-in-variables modeling: Bridging the gap between statistics, computational mathematics and engineering 539
Contributed papers (on CD)
Achcar J.A., Martinez E.Z., Louzada-Neto F., Binary data in the presence of misclassifications 557
Adachi K., Multiple Correspondence spline analysis for graphically representing nonlinear relationships between variables 565
Almeida R. et al., Modelling short term variability interactions in ECG: QT versus RR 573
Amendola A., Niglio M., Vitale C., The threshold ARMA model and its autocorrelation function 581
Araki Y., Konishi S., Imoto S., Functional discriminant analysis for microarray gene expression data via radial basis function networks 589
Arhipov S., Fractal peculiarities of birth and death 597
Arhipova I., Balina S., The problem of choosing statistical hypotheses in applied statistics 605
Arteche J., Reducing the bias of the log-periodogram regression in perturbed long memory series 613
Bartkowiak A., Distal points viewed in Kohonen's self-organizing maps 623
Bastien P., PLS-Cox model: Application to gene expression 631
Bayraksan G., Morton D.P., Testing solution quality in stochastic programming: A single replication procedure 639
Beran R., Low risk fits to discrete incomplete multi-way layouts 647
Bertail P., Clmenon S., Approximate regenerative block-bootstrap for Markov chains 655
Betinec M., Two measures of credibility of evolutionary trees 665
Biffignandi S., Pisani S., A statistical database for the trade sector: A prototype of a new data collection tool 673
Binder H., Tutz G., Localized logistic classification with variable selection 681
Bognr T., Komornk J., Komornkova M., New STAR models of time series and their application in finance 689
Bouchard G., Triggs B., The trade-off between generative and discriminative classifiers 697
Boudou A., Caumont O., Viguier-Pla S.,Principal components analysis in the frequency domain 705
Boukhetala K., Ait-Kaci S., Finite spatial sampling design and "quantization" 713
Brewer M.J. et al., Using principal components analysis for dimension reduction prior to compositional analysis 721
Brys G., Hubert M., Struyf A., A robustification of the Jarque-Bera test of normality 729
Burdakov O., Grimvall A., Hussian M., A generalised PAV algorithm for monotonic regression in several variables 737
Cardot H., Crambes Ch., Sarda P., Conditional quantiles with functional covariates: An application to ozone pollution forecasting 745
Cardot H., Faivre R., Maisongrande P., Random effects varying time regression models with application to remote sensing data 753
Ceranka B., Graczyk M., Chemical balance weighting designs for v + 1 objects with different variances based an ternary balanced block designs 761
Choulakian V., A comparison of two methods of principal component analysis 769
Chretien S., Corset F., A lower bound on inspection time for complex systems with Weibull transitions 775
Christodoulou C., Karagrigoriou A., Vonta F., An inference curve-based ranking technique 783
Conversano C., Vistocco D., Model based visualization of portfolio style analysis 791
Cook D., Caragea D., Honavar V., Visualization in classification problems 799
Costanzo G.D., Ingrassia S., Analysis of the MIB30 basket in the period 2000-2002 by functional PC's 807
Croux C., Joossens K., Lemmens A., Bagging a stacked classifier 815
Csicsman J., Fenyes C.,Developing a microsimulation service system 823
Cwiklinska-Jurkowska M., Jurkowski P., Effectiveness in ensemble of classifiers and their diversity 831
Capek V., Test of continuity of a regression function 839
Cek P., Robust estimation of dimension reduction space 847
Dabo-Niang S., Ferraty F., Vieu P., Nonparametric unsupervised classification of satellite wave altimeter forms 855
Debruyne M., Hubert M., Robust regression quantiles with censored data 863
Derquenne C., A multivariate modelling method for statistical matching 871
Di Bucchianico A. et al., Performance of control charts for specific alternative hypotheses 879
Di Iorio F., Triacca U., Dimensionality problem in testing for noncausality between time series: A partial solution 887
Di Zio M. et al., Multivariate techniques for imputation based on Bayesian networks 903
Di Zio, M., Guarnera U., Rocci R., A mixture of mixture models to detect unity measure errors 895
Dodge Y., Kondylis A., Whittaker J., Extending PLS1 to PLAD regression and the use of the L1 norm in soft modelling 911
Doray L.G., Haziza A., Minimum distance inference for Sundt's distribution 919
Dorta-Guerra R., Gonzlez-Dvila E., Optimal 2^2 factorial designs for binary response data 927
Downie T.R., Reduction of Gibbs phenomenon in wavelet signal estimation 935
Dufour J.-M., Neifar M., Exact simulation-based inference for autoregressive processes based on induced tests 943
Duller C., A kind of PISA-survey at university 951
Eichhorn B.H., Discussions in a basic statistics class 957
Engelen S., Hubert M., Fast cross-validation in robust PCA 965
Escabias M., Aguilera A.M., Valderrama M.J., An application to logistic regression with missing longitudinal data 973
Fabin Z., Core function and parametric inference 981
Fernndez-Aguirre K., Mariel P., Martn-Arroyuelos A., Analysis of the organizational culture at a public University by application of multivariate techniques 989
Fort G., Lambert-Lacroix S., Ridge-partial least squares for generalized linear models with binary response 995
Francisco-Fernndez M., Vilar-Fernndez J.M., Nonparametric estimation of the volatility function with correlated errors 1003
Frolov A.A. et al., Binary factorization of textual data by Hopfield-like neural network 1011
Fujino T., Yamamoto Y., Tarumi T., Possibilities and problems of the XML-based graphics in statistics 1019
Gamrot W., Comparison of some ratio and regression estimators under double sampling for nonresponse by simulation 1029
Gelnarov E., afarik L., Comparison of three statistical classifiers on a prostate cancer data 1037
Gibert K. et al., Knowledge discovery with clustering: Impact of metrics and reporting phase by using KLASS 1045
Giordano F., La Rocca M., Perna C., Neural network sieve bootstrap for nonlinear time series 1053
Gonzlez S. et al., Indirect methods of imputation in sample surveys 1061
Grassini L., Ordinal variables in economic analysis 1071
Gray A., Komarek P., Liu T., Moore A., High-dimensional probabilistic classification for drug discovery 1077
Grendar M., Determination of constrained modes of a multinomial distribution 1085
Grn B., Leisch F., Bootstrapping finite mixture modes 1091
Gunning P., Horgan J.M., An algorithm for obtaining strata with equal coefficients of variation 1099
Hafidi B., Mkhadri A., Schwarz information criterion in the presence of incomplete-data 1107
Hanafi M., Lafosse R., Regression of a multi-set based on an extension of the SVD 1117
Harper W.V., An aid to addressing tough decisions: The automation of general expression transfer from Excel to an Arena simulation 1125
Hayashi A., Two classification methods for educational data and it's application 1133
Heitzig J., Protection of confidential data when publishing correlation matrices 1139
Hennig C., Classification and outlier identification for the GAIA mission 1147
Hirotsu C., Ohta E., Aoki S., Testing the equality of the odds ratio parameters 1155
Hlubinka D., Growth curve approach to profiles of atmospheric radiation 1161
Ho Y.H.S., Calibrated interpolated confidence intervals for population quantiles 1169
Hong T.M., Parsons V.L., Bagging survival trees for prognosis based on gene profiles 1177
Honda K. et al., Web-based analysis system in data oriented statistical system 1185
Hrach K., The interactive exercise text book 1193
Hukov M., Meintanis S., Bayesian like procedures for detection of changes based on empirical characteristic functions 1197
Iizuka M. et al, Development of the educational materials for statistics using Web 1205
Ingrassia S., Morlini I., On the degrees of freedom in richly parameterised models 1213
Jalam R., Chauchat J.-H., Dumais J., Automatic recognition of key-words using n-grams 1221
Jaroov E., Mal I., Esser M., Popelka J., Modelling of time of unemployment via log-location-scale model 1231
Jerak A., Wagner S., Semiparametric Bayesian analysis of EPO patent opposition 1239
Juutilainen I., Rning J., Modelling the probability of rejection in a qualification test based an process data 1247
Krik E., Sell A., Estimating ED50 using the up-and-down method 1255
Kalina J., Durbin-Watson test for least weighted squares 1263
Kannisto J., The expected effective retirement age and the age of retirement 1271
Katina S., Mizera I., Total variation penalty in image warping: Some comparisons with Bookstein roughness penalty 1277
Kawasaki Y., Ando T., Functional data analysis of the dynamics of yield curves 1285
Klaschka J., On ordering of splits, Gray code, and some missing references 1293
Klinke S., Q&A - Variable multiple choice exercises with commented answers 1299
Kolcek J., Use of Fourier transformation for kernel smoothing 1305
Komrkov L., Rank estimators for the time of a change in censored data 1313
Koubkov A., Critical values for changes in sequential regression models 1321
Kropf S., Hothorn L.A., Multiple test procedures with multiple weights 1329
Krecan L., Volf P., Clustering of transaction data 1337
Kukush A., Markovsky I., Van Huffel S., Consistent estimation of an ellipsoid with known Center 1345
Krkov V., Learning from data as an inverse problem 1353
Kuroda M., Data Augmentation algorithm for graphical models with missing data 1361
Lazraq A., Clroux R., Principal variable analysis 1369
Lee E.-K. et al., GeneGobi: Visual data analysis aid tools for microarray data 1373
Leisch F., Exploring the structure of mixture model components 1381
Lin J.-L., Granger C.W.J., Testing nonlinear cointegration 1389
Lipinski P., Clustering of large number of stock market trading rules 1397
Luebke K., Weihs C., Optimal separation projection 1405
Malvestuto F.M., Tree and local computation with the multiproportional estimation Problem 1415
Manteiga W.G., Vilar-Fernndez J.M., Bootstrap test for the equality of nonparametric regression curves under dependence 1423
Marek L., Do we all count the Same way? 1431
Macek L., Behaviour of the least weighted squares estimator for data with correlated regressors 1439
Matei A., Tille Y., On the maximal sample coordination 1447
McCann L., Welsch R.E., Diagnostic data traces using penalty methods 1457
Michalak K., Lipinski P., Prediction of high increases in stock prices using neural networks 1465
Miwa T., A normalising transformation of noncentral F variables with large noncentrality parameters 1473
Mizuta M., Clustering methods for functional data: k-means, single linkage and moving clustering 1479
Mohammadzadeh M., Jafari Khaledi M., Bayesian prediction for a noisy log-Gaussian spatial model 1487
Monlen T. et al., Flexible discrete events simulation of clinical trials using LeanSim(r) 1495
Mori Y., Fueda K., Iizuka M., Orthogonal score estimation with variable selection in multivariate methods 1503
Mucha H.-J., Automatic validation of hierarchical clustering 1511
Mller W.G., Stehlk M., An example of D-optimal designs in the case of correlated errors 1519
Muoz M.P., et al., TAR-GARCH and stochastic volatility model: Evaluation based on simulations and financial time series 1527
Murtagh F., Quantifying ultrametricity 1537
Naya S., Cao R., Artiaga R., Nonparametric regression with functional data 1545
Necir A., Boukhetala K., Estimating the risk-adjusted premium for the largest claims reinsurance covers 1553
Neykov N. et al., Mixture of GLMs and the trimmed likelihood methodology 1561
Niemczyk J., Computing the derivatives of the autocovariances of a VARMA process 1569
Novikov A., Optimality of two-stage hypothesis tests 1577
Ocaa-Peinado F.M., Valderrama M.J., Modelling residuals in dynamic regression: An alternative using principal components analysis 1585
Ortega-Moreno M., Valderrama M.J., State-space model for system with narrow-band excitations 1591
Oxley L., Reale M., Tunnicliffe-Wilson G., Finding directed acyclic graphs for vector autoregressions 1597
Payne R.W., Confidence intervals and tests for contrasts between combined effects in generally balanced designs 1605
Peifer M., Timmer J., Studentised blockwise bootstrap for testing hypotheses on time series 1613
Pham-Gia T., Turkkan N., Sample size determination in the Bayesian analysis of the odds ratio 1621
Plt P., The least weighted squares estimator 1629
Porzio G.C., Ragozini G., A parametric framework for data depth control charts 1637
Prkov Z., Some remarks to testing of heteroskedasticity in AR models 1645
Quinn N., Killen L., Buckley F., Statistical modelling oflactation curve data 1653
Renzetti M., Sindoni G., Tininini L., Urbano A., The Italian judicial statistical information system 1661
Roelant E., Van Aelst S., Willems G., The multivariate least weighted squared distances estimator 1669
Rueda Garca M. et al., Quantile estimation wich calibration estimators 1677
Ruiz M. et al., A Bayesian model for binomial imperfect sampling 1685
Ruiz-Castro J.E. et al., A two-system governed by PH distributions with memory of the failure phase 1693
Rezankov H., Hsek D., Frolov A.A., Some approaches to overlapping clustering of binary variables 1701
Saavedra P. et al., Homogeneity analysis for sets of time series 1709
Saito T., Properties of the slide vector model for analysis of asymmetry 1717
Sakurai N., Watanabe M., Yamaguchi K., A statistical method for market segmentation using a restricted latent class model 1727
Sam A., Ambroise Ch., Govaert G., A mixture model approach for on-line clustering 1735
Savick P., Kotrc E., Experimental study of leaf confidences random forests 1743
Scavalli E., Standard methods and innovations for data editing 1751
Sharkasi A., Ruskin H., Crane M., Interdependence between emerging and major markets 1759
Shimamura T., Mizuta M., Flexible regression modeling via radial basis function networks and Lasso-type estimator 1767
Shin H.W., Sohn S.Y., EWMA combination of both GARCH and neural networks for the prediction of exchange rate 1775
Siciliano R., Aria M., Conversano C., Tree harvest: Methods, software and some applications 1783
Sima D.M., Van Huffel S., Appropriate cross-validation for regularized errors-in-variables linear models 1791
Simoes L., Oliveira P.M., Pires da Costa A., Simulation and modeling of vehicle's delay 1799
Skibicki M., Optimum allocation for Bayesian multivariate stratified sampling using semidefinite programming 1807
Storti G., Multivariate bilinear GARCH models 1813
Sung J., Tanaka Y., Influence analysis in Cox proportional hazards models with emphasis on multiple-case diagnostics 1821
idlofov T., Existence and uniqueness of minimization problems with Fourier based stabilizers 1829
Tarsitano A., Fitting the generalized lambda distribution to income data 1837
Tatsunami S., et al. An application of correspondence analysis to the classification of causes of death among Japanese hemophiliacs with HIV-1 1845
Tressou J., Double Monte-Carlo simulations in food risk assessment 1853
Triantafyllopoulos K., Montana G., Forecasting the London metal exchange with dynamic model 1861
Tsang W.W., Wang J., Evaluating the CDF of the Kolmogorov Statistics for normality testing 1869
Tsomokos I., Karakostas K.X., Pappas V.A., Making statistical analysis easier 1877
Turmon M., Symmetric normal mixtures 1885
Tvrdk J., Kriv I., Comparison of algorithms for nonlinear regression estimates 1893
Vanden Branden K.V., Hubert M., Robust classification of high-dimensional data 1901
Vandervieren E., Hubert M., An adjusted boxplot for skewed distributions 1909
Verboven S., Hubert M., MATLAB software for robust statistical methods 1917
Vek J.A., Robustifying instrumental variables 1923
Vos H.J., Simultaneous optimization of selection-mastery decisions 1931
Waterhouse T.H., Eccleston J.A., Duffull S.B., On optimal design for discrimination and estimation 1939
Wilhelm A.F.X., Ostermann R., Encyclopedia of statistical graphics 1947
Willems G., Van Aelst S., A fast bootstrap method for the MCD estimator 1955
Wimmer G., Witkovsk V., Savin A., Confidence region for parameters in replicated errors in variables model 1963
Witkovsk V., Matlab algorithm TDIST: The distribution of a linear combination of Student's t random variables 1971
Yamamoto Y. et al., Parallel computing in a statistical system Jasp 1979
Yokouchi D., Shibata R., DandD : Client server system 1987
Zadlo T., On unbiasedness of some EBLU predictor 1995
Zarzo M., A graphical procedure to assess the uncertainty of scores in principal component analysis 2003
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