Libros importados con hasta 50% OFF + Envío Gratis a todo USA  Ver más

menu

0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional
portada Counting Statistics for Dependent Random Events: With a Focus on Finance (in English)
Type
Physical Book
Publisher
Language
English
Pages
206
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.4 cm
Weight
0.49 kg.
ISBN13
9783030642495

Counting Statistics for Dependent Random Events: With a Focus on Finance (in English)

Enrico Bernardi (Author) · Silvia Romagnoli (Author) · Springer · Hardcover

Counting Statistics for Dependent Random Events: With a Focus on Finance (in English) - Bernardi, Enrico ; Romagnoli, Silvia

Physical Book

$ 123.15

$ 129.99

You save: $ 6.84

5% discount
  • Condition: New
It will be shipped from our warehouse between Monday, June 10 and Tuesday, June 11.
You will receive it anywhere in United States between 1 and 3 business days after shipment.

Synopsis "Counting Statistics for Dependent Random Events: With a Focus on Finance (in English)"

This book on counting statistics presents a novel copula-based approach to counting dependent random events. It combines clustering, combinatorics-based algorithms and dependence structure in order to tackle and simplify complex problems, without disregarding the hierarchy of or interconnections between the relevant variables. These problems typically arise in real-world applications and computations involving big data in finance, insurance and banking, where experts are confronted with counting variables in monitoring random events.In this new approach, combinatorial distributions of random events are the core element. In order to deal with the high-dimensional features of the problem, the combinatorial techniques are used together with a clustering approach, where groups of variables sharing common characteristics and similarities are identified and the dependence structure within groups is taken into account. The original problems can then be modeled using new classes of copulas, referred to here as clusterized copulas, which are essentially based on preliminary groupings of variables depending on suitable characteristics and hierarchical aspects.The book includes examples and real-world data applications, with a special focus on financial applications, where the new algorithms' performance is compared to alternative approaches and further analyzed. Given its scope, the book will be of interest to master students, PhD students and researchers whose work involves or can benefit from the innovative methodologies put forward here. It will also stimulate the empirical use of new approaches among professionals and practitioners in finance, insurance and banking.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews