An Introduction to Modern Statistical Methods.

Modern Statistical Methods: a First Introduction

The statistical community has during the last 10 years experienced a significant transformation stimulated by technological developments in computing, theoretical developments in stochastic modeling and simulation based inference. Armed with these tools, the modern statistician can now easily handle many problems which were practically unsolvable just few years ago. In this introductory paper w...

A brief introduction to modern amplitude methods

I provide a basic introduction to modern helicity amplitude methods, including color organization, the spinor helicity formalism, and factorization properties. I also describe the BCFW (on-shell) recursion relation at tree level, and explain how similar ideas — unitarity and on-shell methods — work at the loop level. These notes are based on lectures delivered at the 2012 CERN Summer School and...

An Introduction to Statistical Methods of Medical Image Registration

After defining the medical image registration problem, we provide a short introduction to a select group of multi-modal image alignment approaches. More precisely, we choose four widely-used statistical methods applied in registration scenarios for analysis and comparison. We clarify the implicit and explicit assumptions made by each, aiming to yield a better understanding of their relative str...

An Introduction to Sociolinguistics

An Introduction to Statistical Learning

Statistics An Intduction to Stistical Lerning with Applications in R An Introduction to Statistical Learning provides an accessible overview of the fi eld of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fi elds ranging from biology to fi nance to marketing to astrophysics in the past twenty years. Th is book presents some of ...