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561
Application of stochastic phenomenological modelling to cell−to−cell and beat−to−beat electrophysiological variability in cardiac tissue
Published 2015“…We developed four cell-specific parameterizations of a phenomenological stochastic differential equation AP model exhibiting intrinsic variability using APs recorded from isolated guinea pig ventricular myocytes exhibiting BVR. …”
Journal article -
562
On Azéma-Yor processes, their optimal properties and the Bachelier-drawdown equation
Published 2009“…We show that they arise as unique strong solutions of the Bachelier stochastic differential equation which we prove is equivalent to the drawdown equation. …”
Journal article -
563
Stochastic approach to a rain attenuation time series synthesizer for heavy rain regions
Published 2016“…The model combines a wellknown interestrate prediction model in finance namely the CoxIngersollRoss (CIR) model, and a stochastic differential equation approach to generate a longterm gamma distributed rain attenuation time series, particularly appropriate for heavy rain regions. …”
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564
Divergent Resistance Mechanisms to Immunotherapy Explain Responses in Different Skin Cancers
Published 2020-10-01“…We further explored the relationships between macrophages, B cells and response to checkpoint therapy by developing a stochastic differential equation model which qualitatively agrees with the data analysis. …”
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565
Spurious Memory in Non-Equilibrium Stochastic Models of Imitative Behavior
Published 2017-07-01“…A good example of Markov processes with spurious memory is a stochastic process driven by a non-linear stochastic differential equation (SDE). This example is at odds with models built using fractional Brownian motion (fBm). …”
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566
Closed-Form Formula for the Conditional Moments of Log Prices under the Inhomogeneous Heston Model
Published 2022-03-01“…Several financial instruments have been thoroughly calculated via the price of an underlying asset, which can be regarded as a solution of a stochastic differential equation (SDE), for example the moment swap and its exotic types that encourage investors in markets to trade volatility on payoff and are especially beneficial for hedging on volatility risk. …”
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567
Multi-assets Asian rainbow options pricing with stochastic interest rates obeying the Vasicek model
Published 2023-03-01“…By introducing the Vasicek model as the change process of the stochastic interest rate, based on the non-arbitrage principle and the stochastic differential equation, the number of assets of the Asian rainbow option is expanded to n dimensions, and the pricing formulas of the Asian rainbow option with multiple (n) assets under the Vasicek interest rate model are obtained. …”
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568
Catalyst: Fast and flexible modeling of reaction networks.
Published 2023-10-01“…Catalyst supports simulating stochastic chemical kinetics (jump process), chemical Langevin equation (stochastic differential equation), and reaction rate equation (ordinary differential equation) representations for CRNs. …”
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569
Malliavin Calculus and Its Application to Robust Optimal Investment for an Insider
Published 2023-10-01“…When the insider is ’large’, we articulate a quadratic backward stochastic differential equation characterization of the investment. …”
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570
An extension of the stochastic sewing lemma and applications to fractional stochastic calculus
Published 2024-01-01“…The third is to improve a regularity assumption on the diffusion coefficient of a stochastic differential equation driven by a fractional Brownian motion for pathwise uniqueness and strong existence.…”
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571
Numerical solution of the modified and non-Newtonian Burgers equations by stochastic coded trees
Published 2023“…Our implementation uses neural networks that yield a functional space-time domain estimation, and includes numerical comparisons with the deep Galerkin (DGM) and deep backward stochastic differential equation (BSDE) methods.…”
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Journal Article -
572
Probability distribution of returns in Heston model for index prices of FTSE Bursa Malaysia KLCI
Published 2012“…The solutions of the stochastic differential equation were approximated by Euler-Maruyama method. …”
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Thesis -
573
Can Short and Partial Observations Reduce Model Error and Facilitate Machine Learning Prediction?
Published 2020-09-01“…For a rich class of nonlinear and non-Gaussian systems, the conditional sampling is carried out by solving a simple stochastic differential equation, which is computationally efficient and accurate. …”
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574
Probabilistic Analysis of the Auto Tracking Failure by the Mobile Robot Video System
Published 2022-08-01“…The mathematical formulation of the probabilistic analysis problem is based on the processes representation occurring in the system by a vector stochastic differential equation. The condition for the auto tracking failure is the exit of the tracked object from the of the video system field of view and non-return to it within a specified time. …”
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575
Influence of initial heeling angle on ship roll motion response
Published 2022-12-01“…MethodsSpecifically, the path integration method is applied to solve the Fokker-Planck equation, which governs the probability properties of the stochastic differential equation for the roll motion. The probability distributions of the roll motion response can then be obtained. …”
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576
A stochastic model of preventive maintenance strategies for wind turbine gearboxes considering the incomplete maintenance
Published 2024-03-01“…Therefore, this paper takes the gearbox as a case study to introduce the incomplete maintenance parameters into the failure rate function to establish a state model based on the stochastic differential equation (SDE) and describing the state change of incomplete maintenance. …”
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577
A stochastic model with jumps for smoking incorporating media coverage
Published 2022-09-01“…We prove that the solution of the stochastic differential equation with jumps of the stochastic model is unique, positive and global. …”
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578
Theoretical and Numerical Study of Self-Organizing Processes in a Closed System Classical Oscillator and Random Environment
Published 2022-10-01“…A self-organizing joint system classical oscillator–random environment is considered within the framework of a complex probabilistic process that satisfies a Langevin-type stochastic differential equation. Various types of randomness generated by the environment are considered. …”
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579
Stochastic Resonance Observed in Aerosol Optical Depth Time Series
Published 2020-05-01“…This means that a simple, although stochastic, differential equation can represent the time evolution of the optical depth, at least concerning its component related to the annual cycle.…”
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580
Trivariate Stochastic Weather Model for Predicting Maize Yield
Published 2022-01-01“…Stochastic analyses are applied on the pdf and process to account for nonlinearity and nonstationarity, and also establish a corresponding stochastic differential equation (SDE) for maize yield. The trivariate stochastic process predicts maize yield with R2=0.8389 and MAPE=4.31% under a deep learning framework. …”
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