Fourier Transform Methods in Finance
In recent years, Fourier transform methods have emerged as one of the major methodologies for the evaluation of derivative contracts, largely due to the need to strike a balance between the extension of existing pricing models beyond the traditional Black
-Scholes setting and a need to evaluate prices consistently with the market... Fundamental Models in Financial Theory
This book provides an innovative, integrated, and methodical approach to understanding complex financial models, integrating topics usually presented separately into a comprehensive whole. The book brings together financial models and high-level mathematics, reviewing the mathematical background necessary for understanding these models...
Machine Learning with R - Second Edition
Harness the power of R for statistical computing and data science
Explore, forecast, and classify data with R
Use R to apply common machine learning algorithms to real-world scenarios
Machine learning, at its core, is concerned...
Fundamentals of Digital Imaging in Medicine
There was a time not so long ago, well within the memory of many of us, when medical
imaging was an analog process in which X-rays, or reflected ultrasound signals,
exiting from a patient were intercepted by a detector, and their intensity depicted as
bright spots on a fluorescent screen or dark areas in a photographic film. The... Black Hat Python: Python Programming for Hackers and Pentesters
When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. But just how does the magic happen?
In Black Hat Python, the latest from Justin Seitz (author of the best-selling Gray Hat Python), you'll explore the darker side of Python's...
Introduction to Probability and Stochastic Processes with Applications
An easily accessible, real-world approach to probability and stochastic processes
Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...
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