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Robustness and Complex Data Structures

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Table of Contents

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    Book Overview
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    Chapter 1 Multivariate Median
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    Chapter 2 Depth Statistics
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    Chapter 3 Multivariate Extremes: A Conditional Quantile Approach
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    Chapter 4 High-Breakdown Estimators of Multivariate Location and Scatter
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    Chapter 5 Upper and Lower Bounds for Breakdown Points
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    Chapter 6 The Concept of α -Outliers in Structured Data Situations
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    Chapter 7 Multivariate Outlier Identification Based on Robust Estimators of Location and Scatter
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    Chapter 8 Robustness for Compositional Data
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    Chapter 9 Least Squares Estimation in High Dimensional Sparse Heteroscedastic Models
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    Chapter 10 Bayesian Smoothing, Shrinkage and Variable Selection in Hazard Regression
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    Chapter 11 Robust Change Point Analysis
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    Chapter 12 Robust Signal Extraction from Time Series in Real Time
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    Chapter 13 Robustness in Time Series: Robust Frequency Domain Analysis
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    Chapter 14 Robustness in Statistical Forecasting
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    Chapter 15 Finding Outliers in Linear and Nonlinear Time Series
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    Chapter 16 Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods
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    Chapter 17 Some Machine Learning Approaches to the Analysis of Temporal Data
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    Chapter 18 Correlation, Tail Dependence and Diversification
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    Chapter 19 Evidence for Alternative Hypotheses
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    Chapter 20 Robustness and Complex Data Structures
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    Chapter 21 Data Mining in Pharmacoepidemiological Databases
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    Chapter 22 Meta-Analysis of Trials with Binary Outcomes
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