Object Oriented Data Analysis
J. S. Marron
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Martingale Methods in Statistics
Yoichi (School of International Liberal Studies, Faculty of Nishiyama
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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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Hidden Markov Models for Time Series : An Introduction Using R, Second Edition
Walter (University of Gottingen, Germany) Zucchini
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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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Bayesian Nonparametrics for Causal Inference and Missing Data
Michael J. (University of Florida, Gainesville, USA) Daniels
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Bayesian Nonparametrics for Causal Inference and Missing Data
Michael J. (University of Florida, Gainesville, USA) Daniels
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Probabilistic Foundations of Statistical Network Analysis
Harry (Rutgers University) Crane
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An Introduction to the Bootstrap
Bradley (Stanford University, Palo Alto, California, USA) Efron
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Replication and Evidence Factors in Observational Studies
Paul Rosenbaum
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Replication and Evidence Factors in Observational Studies
Paul Rosenbaum
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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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Analysis of Infectious Disease Data
N.G. Becker
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Introduction to Time Series Modeling with Applications in R
Genshiro (Institute of Statistical Mathematics, Tokyo, Japan Kitagawa
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Models for Dependent Time Series
Granville Tunnicliffe Wilson
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Bayesian Inference for Partially Identified Models : Exploring the Limits of Limited Data
Paul (University of British Columbia, Vancouver, Canada) Gustafson
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