Random Graphs and Complex Networks: Volume 2
Remco (Technische Universiteit Eindhoven, The Netherl van der Hofstad
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Generalized Additive Models for Location, Scale and Shape : A Distributional Regression Approach, with Applications
Mikis D. (University of Greenwich) Stasinopoulos
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Generalized Additive Models for Location, Scale and Shape : A Distributional Regression Approach, with Applications
Mikis D. (University of Greenwich) Stasinopoulos
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Markov Chains
J. R. (University of Cambridge) Norris
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. (University of California, Berkeley) Wainwright
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Stochastic Processes
Richard F. (University of Connecticut) Bass
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Probability on Trees and Networks
Russell (Indiana University, Bloomington) Lyons
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Random Graphs and Complex Networks
Remco van der (Technische Universiteit Eindhoven, The Netherl Hofstad
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Exercises in Probability : A Guided Tour from Measure Theory to Random Processes, via Conditioning
Loic (Universite d'Angers, France) Chaumont
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Model-Based Clustering and Classification for Data Science : With Applications in R
Charles Bouveyron
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Essentials of Statistical Inference
G. A. (Imperial College of Science, Technology and Medicine, Lo Young
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The Fundamentals of Heavy Tails : Properties, Emergence, and Estimation
Jayakrishnan (Indian Institute of Technology, Bombay) Nair
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Modern Discrete Probability : An Essential Toolkit
Sebastien (University of Wisconsin, Madison) Roch
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Bootstrap Methods and their Application
A. C. (Swiss Federal Institute of Technology, Zurich) Davison
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Asymptotic Statistics
A. W. van der (Vrije Universiteit, Amsterdam) Vaart
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High-Dimensional Probability : An Introduction with Applications in Data Science
Roman (University of California, Irvine) Vershynin
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Model Selection and Model Averaging
Gerda (Katholieke Universiteit Leuven, Belgium) Claeskens
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Statistical Models
A. C. (Swiss Federal Institute of Technology, Lausanne) Davison
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Probability : Theory and Examples
Rick (Duke University, North Carolina) Durrett
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Data Analysis and Graphics Using R : An Example-Based Approach
John (Australian National University, Canberra) Maindonald
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Bayesian Methods : An Analysis for Statisticians and Interdisciplinary Researchers
Thomas (University of Edinburgh) Leonard
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A User's Guide to Measure Theoretic Probability
David (Yale University, Connecticut) Pollard
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Mathematical Foundations of Infinite-Dimensional Statistical Models
Evarist (University of Connecticut) Gine
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Semiparametric Regression
David (Cornell University, New York) Ruppert
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