Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility …
CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICSIn recent years, the availability of high-frequency data and advances in computing have allowed financial …
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and …
Winner of the 2014 Technometrics Ziegel Prize for Outstanding Book Applied Predictive Modeling covers the overall predictive modeling process, beginning …
This text focuses on multicomponent flow modeling concepts and methods that are used in applications in combustion, crystal growth, and …
Get to grips with the essentials of deep learning by leveraging the power of PythonKey FeaturesYour one-stop solution to get …
In The Credit Market Handbook, financial expert and Editor H. Gifford Fong has assembled a group of prominent professionals and …
This book presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components …
Learn to use probabilistic techniques to solve problems in geotechnical engineering. The book reviews the statistical theories needed to develop …
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions—whether it's for companies designing websites, …
Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningful insights Key Features …
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This is a book about Microsoft 365 Excel, or Excel 365. No other version in history has as much power, …
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