Institute of Mathematical Statistics Textbooks – serie

Statistical Modelling by Exponential Families

Bayesian Filtering and Smoothing

Stochastic Networks

Introduction to Malliavin Calculus

Core Statistics

The Surprising Mathematics of Longest Increasing Subsequences

Noise Sensitivity of Boolean Functions and Percolation

Lectures on the Poisson Process

Core Statistics

The Surprising Mathematics of Longest Increasing Subsequences

Noise Sensitivity of Boolean Functions and Percolation

Lectures on the Poisson Process

Introduction to Malliavin Calculus

Stochastic Networks

Scheduling and Control of Queueing Networks

Scheduling and Control of Queueing Networks

Probability on Graphs

Random Processes on Graphs and Lattices

Two-Dimensional Random Walk

From Path Counting to Random Interlacements

Two-Dimensional Random Walk

From Path Counting to Random Interlacements

Statistical Modelling by Exponential Families

Computational Bayesian Statistics

An Introduction

Exponential Families in Theory and Practice

Principles of Statistical Analysis

Learning from Randomized Experiments

Computational Bayesian Statistics

An Introduction

Exponential Families in Theory and Practice

Principles of Statistical Analysis

Learning from Randomized Experiments

Bayesian Filtering and Smoothing

Applied Stochastic Differential Equations