Self-Normalized Processes

Explore the cutting-edge insights of "Self-Normalized Processes" by Victor H. Peña, published in 2009 by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG. This comprehensive volume spans 275 pages, delving into the latest advancements in self-normalized processes—a pivotal area in mathematical statistics. The book addresses critical topics such as self-normalized large and moderate deviations, along with the laws of the iterated logarithms specific to self-normalized martingales. Ideal for researchers and practitioners in probability theory, this work offers a profound understanding of the theoretical frameworks and applications surrounding self-normalization. Whether you’re looking to enhance your knowledge or engage with contemporary statistical methodologies, this book is an invaluable resource in your academic library.