Hidden Markov Models for Time Series : An Introduction Using R, Second Edition
Walter (University of Gottingen, Germany) Zucchini
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Hidden Markov Models for Time Series : An Introduction Using R, Second Edition
Walter (University of Gottingen, Germany) Zucchini
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Dynamic Prediction in Clinical Survival Analysis
Hans van Houwelingen
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Statistical Learning with Sparsity : The Lasso and Generalizations
Trevor Hastie
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Gaussian Markov Random Fields : Theory and Applications
Havard Rue
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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
Peter J. Diggle
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Density Estimation for Statistics and Data Analysis
Bernard. W. Silverman
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Density Estimation for Statistics and Data Analysis
Bernard. W. Silverman
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An Introduction to the Bootstrap
Bradley (Stanford University, Palo Alto, California, USA) Efron
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The Energy of Data and Distance Correlation
Gabor J. (National Science Foundation, Arlington, Virginia, U Szekely
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Multivariate Kernel Smoothing and Its Applications
Jose E. (Universidad de Extremadura, Departamento de Matematic Chacon
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Multivariate Kernel Smoothing and Its Applications
Jose E. (Universidad de Extremadura, Departamento de Matematic Chacon
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Sufficient Dimension Reduction : Methods and Applications with R
Bing Li
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