Scandinavian journal of statistics: Theory and applications

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  Año 2009, Vol. 36, Número 1

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    Approximate Bayesian Inference in Spatial Generalized Linear Mixed Models.

    Jo Eidsvick, Sara Martino, Havard Rue

    págs. 1-22

    
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    The multi-scale Marked Area-interaction Point Process: A Model for the Spatial Pattern of Trees.

    Nicolas Picard, Avner Bar-Hen, Frédéric Mortier, Joël Chadoeuf

    págs. 23-41

    
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    Models for Dependent Extremes Using Stable Mixtures.

    Anne Laure Fougères, John P. Nolan, Holger Rootzén

    págs. 42-59

    
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    Parametric Estimation Procedures in Multivariate Generalized Pareto Models.

    René Michel

    págs. 60-75

    
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    Posterior Analysis for Normalized Random Measures with Independent Increments.

    Lancelot F. James, Antonio Lijoi, Igor Prünster

    págs. 76-97

    
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    Saddlepoint-Based Bootstrap Inference for Quadratic Estimating Equations.

    Robert L. Paige, Alexandre Trindade, P. Harshini Fernando

    págs. 98-111

    
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    Variance Reduction in Smoothing Splines.

    Robert L. Paige, Shan Sun, Keyi Wang

    págs. 112-126

    
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    Kernel Likelihood Inference for Time Series.

    Carlo Grillenzoni

    págs. 127-140

    
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    Cressie�Read Power-Divergence Statistics for Non-Gaussian Vector Stationary Processes.

    Hiroaki Ogata, Masanobu Taniguchi

    págs. 141-156

    
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    Normal Mixture Quasi-maximum Likelihood Estimator for GARCH Models.

    Taewook Lee, Sangyeol Lee

    págs. 157-170

    
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    Strong Consistency of the Maximum Likelihood Estimator for Finite Mixtures of Location-Scale Distributions When Penalty is Imposed on the Ratios of the Scale Parameters.

    Kentaro Tanaka

    págs. 171-184