# Math

**Alan V. Oppenheim**_{Ford Professor of Engineering, Electrical Engineering and Computer Science (EECS), MIT. Sc.D. - MIT}

Introduction

to Probability

All of

Statistics

**Hamid Jafarkhani**_{Chancellor’s Professor, Electrical Engineering and Computer Science, University of California, Irvine. Ph.D. - University of Maryland at College Park}

The Nature of Statistical

Learning Theory

Random Processes:

A Mathematical Approach

**Thomas Kailath**_{Hitachi America Emeritus Professor of Engineering, Department of Electrical Engineering at Stanford University. Sc.D. - MIT}

Stochastic Processes:

Theory for Applications

**Whitfield Diffie**_{Visiting professor, Zhejiang University, China, and member of the technical advisory boards of BlackRidge Technology, and Cryptomathic.}

Discrete Mathematical

Structures and ...

**Carlo Tomasi**_{The Iris Einheuser Professor of Computer Science, Duke University. Ph.D. - Carnegie Mellon University.}

Introduction to

Applied Mathematics

Matrix

Computations

Numerical

Optimization

Convex

Optimization

The Nature of

Mathematical Modeling

**Peter Stoica**_{Professor of Systems Modeling at Uppsala University, Ph.D. - Polytechnic Institute of Bucharest, Romania.}

Convex

Optimization

Matrix

Analysis

**Muriel Médard**_{Cecil H. Green Professor in the Electrical Engineering and Computer Science (EECS) Department at MIT. Sc.D. MIT.}

_{Note: the following books are not recommended by Professor Médard. They are books that have been used as reference texts in one/some courses she has taught.}

Introduction to

Linear Algebra

**Robert Gallager**_{Professor Emeritus of Electrical Engineering and Computer Science at MIT. Sc.D. - MIT.}

_{Note: the following books are not recommended by Professor Gallager. They are books that have been used as reference texts in one/some courses he has taught.}

Introduction to

Linear Algebra

**Bin Yu**_{Chancellor’s Distinguished Professor and Class of 1936 Second Chair Departments of Statistics and Electrical Engineering and Computer Sciences at UC Berkeley. Ph.D. - UC Berkeley.}

_{Note: the following books are not recommended by Professor Yu. They are books that have been used as reference texts in one/some courses she has taught.}

Probability

.

**Alan Willsky**_{Edwin Sibley Webster Professor of Electrical Engineering (Retired) Massachusetts Institute of Technology. Ph.D. MIT.}

_{Note: the following books are not recommended by Professor Willsky. They are books that have been used as reference texts in one/some courses he has taught.}

Introduction

to Probability

Linear Algebra

and Its Applications

Probability, Random

Variables and ...

Fundamentals of Applied

Probability Theory

An Introduction to

Probability Theory

Random Processes:

A Mathematical Approach

Probability and

Stochastic Processes

Stochastic

Processes

**Dieter Fox**_{Professor in the Department of Computer Science & Engineering at the University of Washington, Ph.D. - University of Bonn}

_{Note: the following books are not recommended by Professor Fox. They are books that have been used as reference texts in one/some courses he has taught.}

Discrete Mathematics

and Its Applications

**David Tse**_{Thomas Kailath and Guanghan Xu Professor in the School of Engineering Department of Electrical Engineering, Stanford University, Ph.D. - MIT}

_{Note: the following books are not recommended by Professor Tse. They are books that have been used as reference texts in one/some courses he has taught.}

Introduction

to Probability

**Jürgen Schmidhuber**_{Scientific director of the Dalle Molle Institute for Artificial Intelligence (IDSIA) Research in Lugano, in Ticino in southern Switzerland, and Professor of Artificial Intelligence (Ordinarius) at the Faculty of Computer Science at the University of Lugano., Ph.D. - Technical University of Munich.}

_{Note: the following books are not recommended by Professor Schmidhuber. They are books that have been used as reference texts in one/some courses he has taught.}

Encyclopaedia of

Mathematics

Probability,

Statistics and Truth

The Algebraic

Eigenvalue Problem

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