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2019
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e-book
Introduction to Financial Mathematics: Concepts and Computational Methods serves as a primer in financial mathematics with a focus on conceptual understanding of models and problem solving. It includes the mathematical background needed for risk management, such as probability theory, optimization, and the like. The goal of the book is to expose the reader to a wide range of basic problems, some of which emphasize analytic ability, some requiring programming techniques and others focusing on statistical data analysis. In addition, it covers some areas which are outside the scope of mainstream financial mathematics textbooks. For example, it presents marginal account setting by the CCP and systemic risk, and a brief overview of the model risk. Inline exercises and examples are included to help students prepare for exams on this book.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Textbooks Business mathematics
- Resource Type:
- e-book
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Video
Find out how to interact with Stata 16 using the menu system and dialog boxes, the Command window, and the Do-file Editor. We also show you some valuable, time-saving tips for improving your workflow in Stata. Finally, you can see an overview of the major components of the software, such as data management, graphics, and how to get help.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Stata Statistics -- Data processing Mathematical statistics -- Data processing
- Resource Type:
- Video
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Others
Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Agile software development
- Resource Type:
- Others
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Video
The advent of data intensive science has fueled the generation of digital scientific data. Undoubtedly, digital research data plays a pivotal role in transparency and re-producibility of scientific results as well as in steering the innovation in a research process. However, the main challenges for science policy and infrastructure projects are to develop practices and solutions for research data management which in compliance with good scientific standards make the research data discoverable, citable and accessible for society potential reuse. The talk will present GeRDI - the Generic Research Data Infrastructure - which is such a research data management initiative targeting long tail content that stems from research communities belonging to different domains. It provides a generic and open software which connects research data infrastructures of communities to enable the investigation of multidisciplinary research questions.
- Keywords:
- Science -- Data processing Research -- Data processing Information storage retrieval systems
- Resource Type:
- Video