Statistics in the Public Interest: In Memory of Stephen E. Fienberg

Statistics in the Public Interest: In Memory of Stephen E. Fienberg

Statistical Inference and Machine Learning for Big Data

Statistical Inference and Machine Learning for Big Data

Data Science for Public Policy

Data Science for Public Policy

Cohesive Subgraph Computation over Large Sparse Graphs: Algorithms, Data Structures, and Programming Techniques

Mathematical Foundations for Data Analysis

Multivariate Data Analysis on Matrix Manifolds: (with Manopt)

Mathematical Foundations for Data Analysis

Multivariate Data Analysis on Matrix Manifolds: (with Manopt)

Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

Lectures on the Nearest Neighbor Method

Lectures on the Nearest Neighbor Method

A Parametric Approach to Nonparametric Statistics

A Parametric Approach to Nonparametric Statistics

Survival Analysis: Proportional and Non-Proportional Hazards Regression

Deep Learning Architectures: A Mathematical Approach

First-order and Stochastic Optimization Methods for Machine Learning