Results 51 to 60 of about 11,771,558 (147)
Lactic Acid bacteria (LAB) are the main producers of bioactive compounds (peptides, exopolysaccharides, antioxidant compounds, gamma-aminobutyric acid-GABA, etc.).
Doryan Osmara Orantes-Pérez +5 more
doaj +1 more source
Model Dependency of the Digital Option Replication – Replication under an Incomplete Model (in English) [PDF]
The paper focuses on the replication of digital options under an incomplete model. Digital options are regularly applied in the hedging and static decomposition of many path-dependent options.
Tomáš Tichý
core
Low-Complexity and Adaptive Nonlinearity Estimation Module Based on Godard's Error
A low-complexity and adaptive nonlinearity estimation module is proposed and experimentally demonstrated based on Godard's error and low-pass filter (LPF).
Lin Jiang +6 more
doaj +1 more source
Multivariate Variance Gamma and Gaussian dependence: a study with copulas [PDF]
This paper explores the dynamic dependence properties of a Levy process, the Variance Gamma, which has non Gaussian marginal features and non Gaussian dependence.
Elisa Luciano, Patrizia Semeraro
core
Option Pricing and Variance Gamma Process
Předložený text pojednává o problematice oceňování opcí prostřednictvím formulování čtyř oceňovacích modelů. Jedná se o syntézu náročného matematického aparátu s neustálým přihlížením k ekonomickému pozadí řešeného problému.
Moravec, Radek
core +1 more source
Early warning signs for tipping points in systems with non-Gaussian $$\alpha$$ -stable noise
Forecasting rapid, non-linear change or so-called tipping points is a major concern in ecology and environmental science. Statistical early warning signs, based on the theory of stochastic dynamical systems, are now regularly applied to observational ...
Lucia S. Layritz +3 more
doaj +1 more source
The return distribution of the variance gamma process
This Demonstration shows the graphs of the density function of the unit period of a variance gamma process (red) and a Brownian motion process with drift (green).
Kozlowski, Andrzej
core +2 more sources
Variance-Driven U-Net Weighted Training and Chroma-Scale-Based Multi-Exposure Image Fusion
Multi-exposure image fusion (MEF) aims to generate a well-exposed image by combining multiple photographs captured at different exposure levels. However, deep learning-based approaches are often highly dependent on the quality of the training data, which
Chang-Woo Son +3 more
doaj +1 more source
Business Time and New Credit Risk Models [PDF]
This paper examines a new model of credit risk measurement, the Variance Gamma- Merton one, which seems to be adequate for describing single default occurrence and default correlation in turbulent times.
E. Luciano
core
Generalised Hyperbolic State-Space Models for Inference in Dynamic Systems
In this work we study linear vector stochastic differential equation (SDE) models driven by the generalised hyperbolic (GH) Lévy process for inference in continuous-time non-Gaussian filtering problems. The GH family of stochastic processes offers
Yaman Kindap, Simon Godsill
doaj +1 more source

