Titlebook: LATIN 2000: Theoretical Informatics; 4th Latin American S Gaston H. Gonnet,Alfredo Viola Conference proceedings 2000 Springer-Verlag Berlin

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Klaus Jansen,Monaldo Mastrolilli,Roberto Solis-Obathe social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and infor978-3-031-16626-6978-3-031-16624-2

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d in the context of a specific financial time series model as a motivating example. Empirical applications, based on real exchange rates, interest rates and equity data, illustrate how to implement the simulation-based methods. In particular, we apply SML to a discrete time stochastic volatility mod

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Y. Kohayakawa,V. Rödl-mini and of one stock of Microsoft using different sampling frequencies and schemes. We further discuss potential sources of the market microstructure noise and test for its type and magnitude. Moreover, due to the volume of high-frequency financial data we focus also on computational aspects, such

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Michele Zitoat-the-money straddle hedging errors are highly correlated with cap-implied volatilities and can explain a large fraction of hedging errors of all caps and straddles across moneyness and maturities. These findings strongly suggest the existence of systematic unspanned factors related to stochastic v

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Vlady Ravelomanana,Loÿs Thimonierd in the context of a specific financial time series model as a motivating example. Empirical applications, based on real exchange rates, interest rates and equity data, illustrate how to implement the simulation-based methods. In particular, we apply SML to a discrete time stochastic volatility mod

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Y. Kohayakawa,V. Rödl,J. Skokanheir current evidence are summarized. With reference to ancient philosophical theories, the concept of cognition takes a central role in the interaction of a person with the external environment and the development of mental disturbances. The philosophical analogy in modern psychotherapy and cogniti

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Stephen Tayloronsibility to tackle them by taking advantage of research advancements in ethics and responsible innovation. Finally, we identify the primary factors that prevented Computational Social Science from realising its full potential during the Covid-19 pandemic and posit that overcoming challenges linked

Asperity

Michael A. Bender,Martín Farach-Coltonto deal with such a complexity establishes a new framework for policy analysis. Policy makers can now rely on positive and quantitative instruments, helpful in understanding both the present scenarios and their future complex developments, although profoundly different from the standard experimental

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Myra B. Cohen,Charles J. Colbournsic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Las