Discriminant Analysis: Applications In Finance
نویسندگان
چکیده
منابع مشابه
Applications in Finance and Manufacturing
The primary aim of this chapter is to present an overview of the artificial neural network basics and operation, architectures, and the major algorithms used for training the neural network models. As can be seen in subsequent chapters, neural networks have made many useful contributions to solve theoretical and practical problems in finance and manufacturing areas. The secondary aim here is th...
متن کاملApplications to Mathematical Finance
We give an introduction to the theory of Mathematical Finance with special emphasis on the applications of Banach space theory. The introductary section presents on an informal and intuitive level some of the basic ideas of Mathematical Finance, in particular the notions of “No Arbitrage” and “equivalent martingale measures”. In section two we formalize these ideas in a mathematically rigorous ...
متن کاملIntrusion Detection in IOT based Networks Using Double Discriminant Analysis
Intrusion detection is one of the main challenges in wireless systems especially in Internet of things (IOT) based networks. There are various attack types such as probe, denial of service, remote to local and user to root. In addition to known attacks and malicious behaviors, there are various unknown attacks that some of them have similar behavior with respect to each other or mimic the norma...
متن کاملStochastic Analysis, Stochastic Systems, and Applications to Finance
|T ] is a nondecreasing function of T , and show how it can be efficiently estimated by a simulation study that stratifies on T. Our results are applied to static and dynamic reliability systems, the pricing of derivatives related to basket default swaps, and to round robin tournaments.
متن کاملMembership-Degree Preserving Discriminant Analysis with Applications to Face Recognition
In pattern recognition, feature extraction techniques have been widely employed to reduce the dimensionality of high-dimensional data. In this paper, we propose a novel feature extraction algorithm called membership-degree preserving discriminant analysis (MPDA) based on the fisher criterion and fuzzy set theory for face recognition. In the proposed algorithm, the membership degree of each samp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Applied Business Research (JABR)
سال: 2011
ISSN: 2157-8834,0892-7626
DOI: 10.19030/jabr.v5i2.6359