Cambridge Series In Statistical And Probabilistic Mathematics Series

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High-Dimensional Statistics: A Non-Asymptotic Viewpoint

A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to...

High-Dimensional Probability: An Introduction with Applications in Data Science

High-Dimensional Probability

An Introduction with Applications in Data Science

An integrated package of powerful probabilistic tools and key applications in modern mathematical...

Data Analysis and Graphics Using R: An Example-based Approach

Data Analysis and Graphics Using R (2nd ed.)

An Example-based Approach

Hands-on guide to the R system for data analysis for scientists, students and practising...

Data Analysis and Graphics Using R: An Example-Based Approach
Cambridge University Press (2010)
AU$102.30

Hands-on guide to the R system for data analysis for scientists, students and practising...

Semiparametric Regression

This user-friendly 2003 book explains the techniques and benefits of semiparametric regression in a...

A User's Guide to Measure Theoretic Probability

This 2002 book is a secure starting point for anyone who needs to invoke rigorous probabilistic...

Model Selection and Model Averaging

First book to synthesize the research and practice from the active field of model selection.

Asymptotic Statistics

A mathematically rigorous, practical introduction presenting standard topics plus research.

Random Graph Dynamics

This book uses mathematical arguments to obtain insights into random graphs.

Statistical Models

This 2003 book gives an integrated development of models and likelihood that blends theory and...