Statistical Learning from a Regression Perspective

摘要

There has been a good amount of development in the area of linear models and regression analysis. Advancements in computing facilities have led to the development of alternative techniques of modelling based on the philosophy of regression analysis. The emphasis of such approaches is more on computational aspects, concepts and algorithms than on developing only the hard core theory. Several such techniques have been developed and became popular in the last decade under the purview of topics of statistical learning. The present book compiles some of the recently developed statistical learning techniques. The emphasis in the book is more on the applications of such techniques through computations rather than on their mathematical and statistical properties. Nevertheless, the necessary mathematical and statistical details accompany the applications but they are not discussed in detail.