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An introduction to Excel VBA programming : with applications in finance and insurance
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ISBN: 131528068X 1315280698 1315280671 Year: 2017 Publisher: Boca Raton, FL : CRC Press,

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Data clustering in C++ : an object-oriented approach
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ISBN: 9781439862230 Year: 2011 Publisher: Boca Raton London New York : CRC Press,

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Metamodeling for Variable Annuities.
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ISBN: 9781351166584 Year: 2019 Publisher: Milton CRC Press LLC

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E-books


Book
METAMODELING FOR VARIABLE ANNUITIES.
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ISBN: 1351166581 1000651010 1351166603 Year: 2019 Publisher: [S.l.] : CRC PRESS,

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This book is devoted to the mathematical methods of metamodeling that can be used to speed up the valuation of large portfolios of variable annuities. It is suitable for advanced undergraduate students, graduate students, and practitioners. It is the goal of this book to describe the computational problems and present the metamodeling approaches in a way that can be accessible to advanced undergraduate students and practitioners. To that end, the book will not only describe the theory of these mathematical approaches, but also present the implementations.

Data clustering : theory, algorithms, and applications
Authors: --- ---
ISBN: 9780898716238 0898716233 Year: 2007 Volume: 20 Publisher: Philadelphia : Society for industrial and applied Mathematics (SIAM),


Book
Measure, probability, and mathematical finance : a problem-oriented approach
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ISBN: 9781118831960 Year: 2014 Publisher: Hoboken, N.J. Wiley

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Measure, Probability, and Mathematical Finance : A Problem-Oriented Approach.
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ISBN: 9781118831984 Year: 2014 Publisher: Somerset : John Wiley & Sons, Incorporated,

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An introduction to the mathematical theory and financial models developed and used on Wall Street Providing both a theoretical and practical approach to the underlying mathematical theory behind financial models, Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach presents important concepts and results in measure theory, probability theory, stochastic processes, and stochastic calculus. Measure theory is indispensable to the rigorous development of probability theory and is also necessary to properly address martingale measures, the change of numeraire theory, and LIBOR market models. In addition, probability theory is presented to facilitate the development of stochastic processes, including martingales and Brownian motions, while stochastic processes and stochastic calculus are discussed to model asset prices and develop derivative pricing models. The authors promote a problem-solving approach when applying mathematics in real-world situations, and readers are encouraged to address theorems and problems with mathematical rigor. In addition, Measure, Probability, and Mathematical Finance features: A comprehensive list of concepts and theorems from measure theory, probability theory, stochastic processes, and stochastic calculus Over 500 problems with hints and select solutions to reinforce basic concepts and important theorems Classic derivative pricing models in mathematical finance that have been developed and published since the seminal work of Black and Scholes  Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach is an ideal textbook for introductory quantitative courses in business, economics, and mathematical finance at the upper-undergraduate and graduate levels. The book is also a useful reference for readers who need to build their mathematical skills in order to better understand the mathematical theory of derivative pricing models.


Book
Advanced Data Mining and Applications : 14th International Conference, ADMA 2018, Nanjing, China, November 16–18, 2018, Proceedings
Authors: --- --- ---
ISBN: 3030050904 3030050890 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book constitutes the refereed proceedings of the 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, held in Nanjing, China in November 2018. The 23 full and 22 short papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers were organized in topical sections named: Data Mining Foundations; Big Data; Text and Multimedia Mining; Miscellaneous Topics.

Keywords

Artificial intelligence. --- Data mining. --- Database management. --- Information storage and retrieva. --- Computer network architectures. --- Artificial Intelligence. --- Data Mining and Knowledge Discovery. --- Database Management. --- Information Storage and Retrieval. --- Computer Systems Organization and Communication Networks. --- Information storage and retrieval. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Computer organization. --- Organization, Computer --- Electronic digital computers

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