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Derivative Pricing
The proliferation of financial derivatives over the past decades, options in particular, has underscored the increasing importance of derivative pricing literacy among students, researchers, and practitioners. Derivative Pricing: A Problem-Based Primer demystifies the essential derivative pricing theory by adopting a mathematically rigorous yet widely accessible pedagogical approach that will appeal to a wide variety of audience. Abandoning the traditional "black-box" approach or theorists’ "pedantic" approach, this textbook provides readers with a solid understanding of the fundamental mechanism of derivative pricing methodologies and their underlying theory through a diversity of illustr...
New advances in Rehabilitation of Stroke
Worldwide, stroke remains one of the leading causes of death and long-term disability, with an estimated prevalence of 2.5%. The prevalence of people living with the effects of stroke has increased because of the growing aging population. As the number of stroke survivors increases, so does the demand for function rehabilitation of stroke. The goal of conventional rehabilitation is to improve residual function and restore independence, but its impact is still limited. Novel therapeutic approaches remain urgent and the potential mechanisms underlying these approaches require further exploration. Therefore, in this Research Topic, our goals include: (1) to explore novel rehabilitation approaches of stroke in both acute and chronic stages; (2) to explore the potential mechanisms underlying novel rehabilitation approaches of stroke; (3) to explore different situations and challenges across different countries regarding rehabilitation of stroke; (4) to identify ways to further improve the quality of rehabilitation for stroke; (5) to identify and remove barriers that limit patients’ access to appropriate rehabilitation services.
Network Models for Data Science
This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component.
Financial Data Analytics with Machine Learning, Optimization and Statistics
An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial probl...
Rethinking Virtual Places
How would the humanities change if we grappled with the ways in which digital and virtual places are designed, experienced, and critiqued? In Rethinking Virtual Places, Erik Malcolm Champion draws from the fields of computational sciences and other place-related disciplines to argue for a more central role for virtual space in the humanities. For instance, recent developments in neuroscience could improve our understanding of how people experience, store, and recollect place-related encounters. Similarly, game mechanics using virtual place design might make digital environments more engaging and learning content more powerful and salient. In addition, Champion provides a brief introduction to new and emerging software and devices and explains how they help, hinder, or replace our traditional means of designing and exploring places. Perfect for humanities scholars fascinated by the potential of virtual space, Rethinking Virtual Places challenges both traditional and recent evaluation methods to address the complicated problem of understanding how people evaluate and engage with the notion of place.
Applications of Rehabilitation Engineering Technologies for the Intervention of Neural and Motor Impairment Post Stroke
Stroke is the leading cause of disability worldwide. Stroke survivors often have motorimpairments which contribute to upper limbs dysfunctions, reduced balance, posturalcontrol and reduced mobility and proprioception. These physical symptoms lead toreduced social participation and poor quality of life. Over the past ten years, therehad been an enormous focus on the use of virtual reality (VR) and other technologiesto improve clinical outcomes for people with stroke. These technologies includelarge scale bespoke manufactured immersvie virtual reality system, or home basedrehabilitation device such as the commercially available device Nitendo Wii andMicrosoft XBox. The clinical efficacy of the...
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