Results 51 to 60 of about 6,214 (218)
, 2011 Slides presented by: Andreas Penckwitt, University of OtagoNotes from the First International Workshop on Intelligent Finance, for discussion of research ideas.
Penckwitt, Andreas
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Redesigning a 'quantitative research methods for finance' module [PDF]
, 2009 ECP045 Quantitative Research Methods for Finance (QRMF) is a core module offered to Postgraduate Students in their first semester at London Metropolitan University.
Vitiello, Luiz
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Advanced Science, EarlyView.PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang +10 more
wiley +1 more source
Advanced Science, EarlyView.This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Mastering R for quantitative finance
, 2015 This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in ...
Szucs, Balázs Árpád +17 more
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Advanced Science, EarlyView.This study utilized alloy micro‐galvanic coupling design to regulate the release of essential elements, thereby programming immune responses and promoting regeneration. The sacrificial anodic process of Zn‐0.8Mg reduced Zn2+ release compared to the “large cathode‐small anode” coupling of Zn‐0.8Fe.
Chaoyang Sun +14 more
wiley +1 more source
Applying mathematical finance tools to the competitive Nordic electricity market [PDF]
, 2004 This thesis models competitive electricity markets using the methods of mathematical finance. Fundamental problems of finance are market price modelling, derivative pricing, and optimal portfolio selection.
Vehviläinen, Iivo
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Advanced Science, EarlyView.An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source
Super‐Resolution and High‐Data‐Density Acoustic Meta‐Hologram via Amplitude and Phase Coupling
Advanced Science, EarlyView.A super‐resolution acoustic meta‐hologram utilizes amplitude‐phase coupling under energy conservation constraints to overcome the traditional diffraction limit. This conceptually advanced approach achieves high‐fidelity acoustic field reconstruction and dense information transmission, unlocking new potentials for high‐resolution acoustic imaging and ...
Xiao Guo +15 more
wiley +1 more source
Quasi-Monte Carlo for finance applications.
, 2008 Monte Carlo methods are used extensively in computational finance to estimate the price of financial derivative options. We review the use of quasi-Monte Carlo methods to obtain the same accuracy at a much lower computational cost, and focus on three key
Waterhouse, Benjamin J +11 more
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