LEADER 01003nam a22003011i 4500 001 991000307749707536 005 20031230164137.0 008 040204s1987 it |||||||||||||||||ita 020 $a8870180409 035 $ab12597831-39ule_inst 035 $aARCHE-060504$9ExL 040 $aDip. SSC$bita$cA.t.i. Arché s.c.r.l. 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The contributions cover a wide range of topics in statistical modelling, including generalized linear models, mixture models, regularization techniques, hidden Markov models, smoothing methods, censoring and imputation techniques, Gaussian processes, spatial statistics, shape modelling, goodness-of-fit problems, and network analysis. Various highly topical applications are presented as well, especially from biostatistics. The approaches are equally frequentist and Bayesian, a categorization the statistical modelling community has synergetically overcome. The book also features the workshop?s keynote contribution on statistical modelling for big and little data, highlighting that both small and large data sets come with their own challenges. The International Workshop on Statistical Modelling (IWSM) is the annual workshop of the Statistical Modelling Society, with the purpose of promoting important developments, extensions, and applications in statistical modelling, and bringing together statisticians working on related problems from various disciplines. This volume reflects this spirit and contributes to initiating and sustaining discussions about problems in statistical modelling and triggers new developments and ideas in the field. 410 0$aContributions to Statistics,$x2628-8966 606 $aStatistics 606 $aRegression analysis 606 $aStatistics 606 $aMachine learning 606 $aBiometry 606 $aStatistical Theory and Methods 606 $aLinear Models and Regression 606 $aBayesian Inference 606 $aStatistical Learning 606 $aBiostatistics 606 $aAnālisi de xarxes (Planificaciķ)$2thub 606 $aEstadística matemātica$2thub 606 $aProcessos gaussians$2thub 606 $aEstadística matemātica$2thub 608 $aLlibres electrōnics$2thub 615 0$aStatistics. 615 0$aRegression analysis. 615 0$aStatistics. 615 0$aMachine learning. 615 0$aBiometry. 615 14$aStatistical Theory and Methods. 615 24$aLinear Models and Regression. 615 24$aBayesian Inference. 615 24$aStatistical Learning. 615 24$aBiostatistics. 615 7$aAnālisi de xarxes (Planificaciķ) 615 7$aEstadística matemātica 615 7$aProcessos gaussians 615 7$aEstadística matemātica 676 $a519.5 700 $aEinbeck$b Jochen$01749638 701 $aMaeng$b Hyeyoung$01749639 701 $aOgundimu$b Emmanuel$01749640 701 $aPerrakis$b Konstantinos$01749641 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910874655003321 996 $aDevelopments in Statistical Modelling$94183936 997 $aUNINA