Advisors:
P. Bickel, P. Diggle, S. Fienberg, U. Gather, I. Olkin, S. Zeger
Springer Series in Statistics
Athreya/Lahiri: Measure Theory and Probability Theory
Bilodeau/Brenner: Theory of Multivariate Statistics
Brockwell/Davis: An Introduction to Time Series and Forecasting
Carmona: Statistical Analysis of Financial Data in S-PLUS
Chow/Teicher: Probability Theory: Independence, Interchangeability,Martingales, 3
rd
ed.
Christensen: Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data;
Nonparametric Regression and Response Surface Maximization, 2
nd
ed.
Christensen: Log-Linear Models and Logistic Regression, 2
nd
ed.
Christensen: Plane Answers to Complex Questions: The Theory of LinearModels, 2
nd
ed.
Cryer/Chan: Time Series Analysis, Second Edition
DasGupta: Asymptotic Theory of Statistics and Probability
Davis: Statistical Methods for the Analysis of Repeated Measurements
Dean/Voss: Design and Analysis of Experiments
Dekking/Kraaikamp/Lopuha
¨
a/Meester: A Modern Introduction to Probability and Statistics
Durrett: Essential of Stochastic Processes
Edwards: Introduction to Graphical Modeling, 2
nd
ed.
Everitt: An R and S-PLUS Companion to Multivariate Analysis
Gentle: Matrix Algebra: Theory, Computations, and Applications in Statistics
Ghosh/Delampady/Samanta: An Introduction to Bayesian Analysis
Gut: Probability: A Graduate Course
Heiberger/Holland: Statistical Analysis and Data Display; An Intermediate Course with
Examples in S-PLUS, R, and SAS
Jobson: Applied Multivariate Data Analysis, Volume I: Regression andExperimental Design
Jobson: Applied Multivariate Data Analysis, Volume II Categorical and Multivariate
Methods
Karr: Probability
Kulkarni: Modeling, Analysis, Design, and Control of Stochastic Systems
Kolaczyk: Statistical Analysis of Network Data
Lange: Applied Probability
Lange: Optimization
Lehmann: Elements of Large Sample Theory
Lehmann/Romano: Testing Statistical Hypotheses, 3
rd
ed.
Lehmann/Casella: Theory of Point Estimation, 2
nd
ed.
Longford: Studying Human Populations: An Advanced Course in Statistics
Marin/Robert: Bayesian Core: A Practical Approach to Computational Bayesian Statistics
Nolan/Speed: Stat Labs: Mathematical Statistics Through Applications
Pitman: Probability
Rawlings/Pantula/Dickey: Applied Regression Analysis
Robert: The Bayesian Choice: From Decision-Theoretic Foundations toComputational
Implementation, 2
nd
ed.
Robert/Casella: Monte Carlo Statistical Methods, 2
nd
ed.
Rose/Smith: Mathematical Statistics with Mathematica
Ruppert: Statistics and Finance: An Introduction
(continued after index)
Springer Series in Statistics
Eric D. Kolaczyk
Statistical Analysis of
Network Data
Methods and Models
123
ISBN 978-0-387-88145-4 e-ISBN 978-0-387-88146-1
DOI 10.1007/978-0-387-88146-1
Library of Congress Control Number: 2009921812
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Springer Science+Business Media, LLC 2009
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Eric D. Kolaczyk
Department of Mathematics & Statistics
Boston University
111 Cummington St.
Boston MA 02215
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