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Heavy Tailed Functional Time Series
The goal of this thesis is to treat the temporal tail dependence and the cross-sectional tail dependence of heavy tailed functional time series. Functional time series are aimed at modelling spatio-temporal phenomena; for instance rain, temperature, pollution on a given geographical area, with temporally dependent observations. Heavy tails mean that the series can exhibit much higher spikes than with Gaussian distributions for instance. In such cases, second moments cannot be assumed to exist, violating the basic assumption in standard functional data analysis based on the sequence of autocovariance operators. As for random variables, regular variation provides the mathematical backbone for ...
Monte Carlo and Quasi-Monte Carlo Methods
This book presents the refereed proceedings of the 13th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Rennes, France, and organized by Inria, in July 2018. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in finance, statistics and computer graphics.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applica...
Stationary Stochastic Processes
Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field’s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for stationary processes and fields, including a portion on stationary point processes. Features Presents and illustrates the fundamental correlation and spectral methods for stochastic processes and random fields Explains how the basic theory is used in special applications like detection theory and signal processing, spatial statistics, and reliability Motivates mathematical theory from a statistical mode...
Computational Methods for Risk Management in Economics and Finance
At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of computational techniques in finance and economics. Examined topics span on issues at the center of the literature debate, with an eye not only on technical and theoretical aspects but also very practical cases.
New Leadership in Strategy and Communication
This contributed volume provides new approaches, fresh ideas, valuable insights, and latest research in leadership—from strategic business (model) innovation to system design and humanity—and is a knowledge source and inspirational guide for scientists and practitioners alike.A key theme is the provision of an integrated perspective on leadership in strategy and communication which allow (senior) leaders, managing di-rectors, project managers, and individuals to (1) better link strategic busi-ness innovation and leadership and (2) shift to the new human self-lead-ership paradigm and in particularly leadership advances that consider ideas from multiple disciplines and transgenerational views. That includes a new understanding about knowledge, learning and change and how leaders re-discover and develop their human abilities, which include intui-tion/strength, balance and clarity, projection-reflection, and wisdom.This volume also makes an important contribution to the evolving aca-demic domain by providing the latest insights on trauma research, DNA healing, system (re)design, and growth & abundance mindset in the ad-vanced co-creation age.
Multiscale Modelling and Simulation
In August 2003, ETHZ Computational Laboratory (CoLab), together with the Swiss Center for Scientific Computing in Manno and the Universit della Svizzera Italiana (USI), organized the Summer School in "Multiscale Modelling and Simulation" in Lugano, Switzerland. This summer school brought together experts in different disciplines to exchange ideas on how to link methodologies on different scales. Relevant examples of practical interest include: structural analysis of materials, flow through porous media, turbulent transport in high Reynolds number flows, large-scale molecular dynamic simulations, ab-initio physics and chemistry, and a multitude of others. Though multiple scale models are not new, the topic has recently taken on a new sense of urgency. A number of hybrid approaches are now created in which ideas coming from distinct disciplines or modelling approaches are unified to produce new and computationally efficient techniques
New Leadership Communication—Inspire Your Horizon
This new book aims at inspiring managers and passionate, influential (new) leaders to re-think how to address communication markets, challenge the way how to orchestrate communication instruments, find new ways to communicate the New, and cultivate a positive communication culture. Leadership communication is a critical success factor of senior management teams and (new) leaders (game changer, pioneers) in the digital and human age to better interact and connect with others; drive innovation and adoption processes; and empower young minds with joy, abundance, and wisdom. In the classical view, leadership communication is part of management communication which means leaders primarily use instruments focusing on teams, presentations, and negotiations. In the modern view, however, new leadership communication also encompasses social media and innovation communication. It dives deeper into ground rules for effective leadership communication and key themes, such as virtual communication, innovation and leadership, and communication model innovation. Be the inspiration! Become a new leader and shape the world.
Heavy-Tailed Time Series
This book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, incorporating the latest research trends alongside classical methodology. Appropriate for graduate coursework or professional reference, the book requires a background in extreme value theory for i.i.d. data and basics of time series. Following a brief review of foundational concepts, it progresses linearly through topics in limit theorems and time series models while including historical insights at each chapter’s conclusion. Additionally, the book incorporates complete proofs and exercises with solutions as well as substantive reference lists and appendices, featuring a novel commentary on the theory of vague convergence.
