
Large Deviations for Random Graphs by Sourav Chatterjee
This book addresses the emerging body of literature on the study of rare events in random graphs and networks.-
Higher Algebraic K-Theory: An Overview
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Entropy Methods for the Boltzmann Equation
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Topological Stability of Smooth Mappings
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Differential Geometrical Methods in Mathematical Physics II
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The Topology of 4-Manifolds
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Information, Weight of Evidence. The Singularity Between Probability Measures and Signal Detection
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Boundary Value Problems and Markov Processes
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Ecole d'Ete de Probabilites de Saint-Flour XII, 1982
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Topics in Spatial Stochastic Processes
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Mixed Finite Elements, Compatibility Conditions, and Applications
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Mathematical Problems in Semiconductor Physics
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Seminaire de Probabilites XLIX
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Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions
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The Riemann Hypothesis in Characteristic p in Historical Perspective
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Mathematical Epidemiology
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Integral Geometry, Radon Transforms and Complex Analysis
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Tutorials in Mathematical Biosciences IV
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The Hasse - Noether Correspondence 1925 -1935
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Seminaire de Probabilites XLIII
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Handbook of Clinical Psychology Competencies
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Brownian Motion and its Applications to Mathematical Analysis
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Symplectic 4-Manifolds and Algebraic Surfaces
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Schrödinger Operators, Como 1984
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Algebraic Cycles and Hodge Theory
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Lectures on Probability Theory and Statistics
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Multi-agent Optimization
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Lévy Matters V
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Quantum Transport
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Geometry of PDEs and Related Problems
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Complex Non-Kahler Geometry
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Séminaire de Probabilités XXXVII
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Séminaire de Probabilités XVI 1980/81
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Classifying Spaces and Classifying Topoi
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Delta-Invariant Theory for Hecke Correspondences
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Splitting and Making Explicit the de Rham Complex of the Drinfeld Space
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Violence in Europe
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Approximations to Probabilistic Characteristics of Stochastic Differential Equations
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Triangular Bases of Unimodular Bilinear Lattices and Induced Structures
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An Invitation to Alexandrov Geometry: CAT(0) Spaces
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Convergence in Measure and in Category
This nice book is recommended to all probabilists who wish to study the beautiful theory of large deviations for random graphs(Zakhar Kabluchko, Mathematical Reviews, April, 2018)
Sourav Chatterjee is a Professor of Statistics and Mathematics at Stanford University. He has previously taught at the University of California at Berkeley and at the Courant Institute of Mathematical Sciences. He has won several international awards for his work in probability theory, including the Rollo Davidson Prize (2010), the Doeblin Prize (2012) and the Loü¾Ž†”¼ve Prize (2013) and has received the invitation to speak at the International Congress of Mathematicians in 2014.
| SKU | Unavailable |
| ISBN 13 | 9783319658155 |
| ISBN 10 | 3319658158 |
| Title | Large Deviations for Random Graphs |
| Author | Sourav Chatterjee |
| Series | Lecture Notes In Mathematics |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2017-09-02 |
| Number of pages | 170 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |







































