Dynamic Models for Volatility and Heavy Tails: With Applications to Financial and Economic Time Series - Andrew C. Harvey

Dynamic Models for Volatility and Heavy Tails: With Applications to Financial and Economic Time Series - Andrew C. Harvey

This Book is the outcome of a joint effort to systematically describe the use of R-INLA for analysing time series and showcasing the code and descr...

Reducere. Introduction to sequential decision processes covers use of dynamic programming in studying models of resource allocation, methods for approximatin...

Publisher: Pearson Education LimitedAuthor(s): Harvey DeitelNumber of pages: 832Publication date: 2022Dimensions: 202 x 254 x 36Cover type: Paperba...

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From Asian to Global Financial Crisis: An Asian Regulator's View of Unfettered Finance in the 1990s and 2000s - Andrew Sheng

Reducere. Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks?This book is your answer. Time S...

Publisher: Apple Academic Press Inc.Author(s): Roland (Bielefeld University, Germany) LangrockIllustration(s): 65 Tables, black and white; 80 Illus...

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This book summarizes most of the recent research results in pricing models of derivatives on discrete realized variance and VIX. .Publisher: Taylor...

Risk and Volatility. Theory, Methods and Econometric Modelling - Marius Matei

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Reducere. There are many books that are excellent sources of knowledge about individual stastical tools (survival models, general linear models, etc.), but t...

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Contributor(s): Author: John S. TjiaThe go-to guide for developing effective financial analysis and valuation models--updated with new content and ...

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Contributor(s): Author: Antoine GuisanAuthor: Wilfried ThuillerAuthor: Niklaus E. ZimmermannThis book introduces the key stages of niche-based habi...

The theory of semigroups of operators is a topic with great intellectual beauty and wide-ranging applications. This graduate-level introduction pre...

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Heavy tails - extreme events more common than expected - are everywhere, but they are still treated as mysterious and confusing because the necessa...

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Paul Lower presents step-by-step instructions for seven spreadsheet models that will help the user to gain a better understanding of the financial ...

Revised edition of: Applied Bayesian hierarchical methods. c2010.

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series For...

Schaum's Outlines present all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solv...

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Reducere. Description Discover the power of mixed models with SAS. Mixed models-now the mainstream vehicle for analyzing most research data-are part of the c...

A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including ...

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An introduction to the fascinating subject of quantum mechanics. Almost entirely algebra-based, this book is accessible to those with only a high s...

Publisher: Pearson Education LimitedAuthor(s): Arthur SniderNumber of pages: 520Publication date: 2013Dimensions: 275 x 218 x 18Cover type: Paperba...

Structured population models can be used to describe processes such as infection transmission, cell growth and traffic flows. This book introduces ...