Financial Data and Artificial Intelligence, Volume I
An Introduction to Computational Statistics, Networks, Algorithms, Multivariate Probability Systems, and Bayesian and Kalman-Filtering Analysis
1st Edition
Published on 8. August 2024
Book
Hardback
XXIII, 421 pages
978-3-030-75042-8 (ISBN)
Description
Covers elements of computational as well as data mining, statistical estimation, calculating probability moments experimental search, tracking, other statistical algorithms and examples
Introduces credit risk, scoring and granting as well as credit derivatives (CDOs) applications
Provides a statistical and calculus approach to digitalized data, in both their deterministic and random manifestations
Introduces credit risk, scoring and granting as well as credit derivatives (CDOs) applications
Provides a statistical and calculus approach to digitalized data, in both their deterministic and random manifestations
More details
Edition
2024
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
64
12 s/w Abbildungen, 64 farbige Abbildungen
XXIII, 421 p. 76 illus., 64 illus. in color.
Dimensions
Height: 21 cm
Width: 14.8 cm
ISBN-13
978-3-030-75042-8 (9783030750428)
DOI
10.1007/978-3-030-75043-5
Schweitzer Classification
Other editions
Additional editions
Charles S. Tapiero | Oren J. Tapiero
Financial Data and Artificial Intelligence, Volume I
An Introduction to Computational Statistics, Networks, Algorithms, Multivariate Probability Systems, and Bayesian and Kalman-Filtering Analysis
Online / Databases
08/2024
Palgrave Macmillan
€96.29
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Persons
Charles S. Tapiero is the Topfer Chair Distinguished Professor of Financial Engineering and Technology Management at the New York University Tandon School of Engineering, USA. He founded the Department of Finance and Risk Engineering in 2006 and was department head until 2016. Tapiero was co-founder and co-editor-in-chief of
Risk and Decision Analysis
. His fields of interests span financial engineering, fractional, multi-agents and global finance, and computational and actuarial science.
Oren J. Tapiero is the Chief Science Officer at Cuma Financial, Tel-Aviv, with a PhD in Finance from Bar-Ilan University, Israel, and formerly a post-doctoral student at Université de Paris - La Sorbonne, France. He is also the finance program coordinator at Netanya Academic College, Israel.
Oren J. Tapiero is the Chief Science Officer at Cuma Financial, Tel-Aviv, with a PhD in Finance from Bar-Ilan University, Israel, and formerly a post-doctoral student at Université de Paris - La Sorbonne, France. He is also the finance program coordinator at Netanya Academic College, Israel.
Content
Chapter 1. Finance and Data.- Chapter 2. Data Everywhere.- Chapter 3. Data and Statistical Models.- Chapter 4. Computational Statistics and Regressions.- Chapter 5. Algorithms, Glm and Data Reduction.- Chapter 6. Statistical and Data Reduction.- Chapter 7. Multivariate Statistical Distributions.- Chapter 8. Data Information and Entropy.- Chapter 9. Graphs and Networks.- Chapter 10. Modeling Memory and Learning.- Chapter 11. Bayesian Learning.- Chapter 12: Bayesian Networks.- Chapter 13. Bayesian Models and Kalman's Filter.