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541
A boundary preserving numerical algorithm for the Wright-Fisher model with mutation
Published 2012“…The Wright-Fisher model is an Itô stochastic differential equation that was originally introduced to model genetic drift within finite populations and has recently been used as an approximation to ion channel dynamics within cardiac and neuronal cells. …”
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542
Risk-Neutral Pricing of Financial Instruments in Emission Markets: A Structural Approach
Published 2015“…We derive a forward-backward stochastic differential equation for the price process of the allowance certificate and solve the associated semilinear partial differential equation numerically. …”
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543
Global-in-time solutions and qualitative properties for the NNLIF neuron model with synaptic delay
Published 2019“…The Nonlinear Noisy Leaky Integrate and Fire (NNLIF) model is widely used to describe the dynamics of neural networks after a diffusive approximation of the mean-field limit of a stochastic differential equation system. When the total activity of the network has an instantaneous effect on the network, in the average-excitatory case, a blow-up phenomenon occurs. …”
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544
Pricing Sukuk of Mushurakah Ventures Using its Expected Return; (A case study of Iran OTC)
Published 2020-03-01“…In this paper, the Mushurakah bonds (Sukuk) pricing model using expected return in the form of a stochastic differential equation is presented and this stochastic differential model is transformed into a partial differential equation using the self-financing basket and then solved by numerical finite difference method. …”
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545
Stochastic Thermodynamics of an Electromagnetic Energy Harvester
Published 2022-08-01“…We describe the system with a linear model, featuring an underdamped stochastic differential equation for an effective mass in a harmonic potential, coupled electromechanically with the current in the circuit. …”
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546
A Numerical solution for the new model of time-fractional bond pricing: Using a multiquadric approximation method
Published 2022-07-01“…In terms of maturities , bonds are divided into three categories as follows : short term , medium term , and long term .In this paper , we model the fractional bond pricing under fractional stochastic differential equation . We implement the multiquadric approximation for solving the fractional bond pricing equation . …”
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547
A γ-power stochastic Lundqvist-Korf diffusion process: Computational aspects and simulation
Published 2022-09-01“…First, we determine the probabilistic characteristics of the process, such as its analytic expression, the transition probability density function from the corresponding It ˆo stochastic differential equation and obtain the conditional and non-conditional mean functions. …”
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548
Unconditionally stable monte carlo simulation for solving the multi-dimensional Allen–Cahn equation
Published 2023-07-01“…The diffusion term is calculated using MCS for the stochastic differential equation, while the nonlinear term is locally computed for each particle in a virtual grid. …”
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549
Anticipated BSDEs Driven by Fractional Brownian Motion with a Time-Delayed Generator
Published 2023-12-01“…This article describes a new form of an anticipated backward stochastic differential equation (BSDE) with a time-delayed generator driven by fractional Brownian motion, further known as fractional BSDE, with a Hurst parameter <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>H</mi><mo>∈</mo><mo>(</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></semantics></math></inline-formula>. …”
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550
Optimal Exploitation of a General Renewable Natural Resource under State and Delay Constraints
Published 2020-11-01“…The resource is assumed to evolve according to a logistic stochastic differential equation. The manager is allowed to harvest the resource and sell it at a stochastic market price modeled by a geometric Brownian process. …”
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551
Simple Closed-Form Formulas for Conditional Moments of Inhomogeneous Nonlinear Drift Constant Elasticity of Variance Process
Published 2022-06-01“…The stochastic differential equation (SDE) has been used to model various phenomena and investigate their properties. …”
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552
Nonlinear optimization algorithm using monotonically increasing quantization resolution
Published 2023-02-01“…Thus, we rewrite the searching equation based on a gradient descent as a stochastic differential equation and obtain the monotonically decreasing rate of the quantization step, enabling the global optimization by stochastic analysis for deriving an objective function. …”
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553
Optimal Incentive Contract for Sales Team with Loss Aversion Preference
Published 2019-07-01“…We use a backward stochastic differential equation (BSDE) to represent agents’ contract through the martingale representation theorem and use the stochastic optimal control and matrix method to obtain the explicit solution of the optimal contract. …”
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554
Exact analysis of the response of quantum systems to two-photons using a QSDE approach
Published 2016-01-01“…We introduce the quantum stochastic differential equation (QSDE) approach to exactly analyze the response of quantum systems to a continuous-mode two-photon input. …”
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555
Correlated stochastic epidemic model for the dynamics of SARS-CoV-2 with vaccination
Published 2022-09-01“…As the environmental reservoir plays a weighty role in the transmission of the SARS-CoV-2 virus, our model encompasses a fourth stochastic differential equation representing the reservoir. Moreover, the vaccination of susceptible is also considered. …”
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556
Fast stochastic simulation of biochemical reaction systems by alternative formulations of the Chemical Langevin Equation
Published 2010“…The Chemical Langevin Equation (CLE), which is a stochastic differential equation (SDE) driven by a multidimensional Wiener process, acts as a bridge between the discrete Stochastic Simulation Algorithm and the deterministic reaction rate equation when simulating (bio)chemical kinetics. …”
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557
Stochastic control for linear systems driven by fractional noises
Published 2005“…First, as a prerequisite for studying the underlying control problems, some new results on stochastic integrals and stochastic differential equations associated with FBM are established. …”
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558
Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue
Published 2014“…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. …”
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559
Stochastic Models and Simulation of Ion Channel Dynamics
Published 2010“…By assuming that such transition rates are constant over each time step, it is possible to derive a stochastic differential equation (SDE), in the same manner as for biochemical reaction networks, that describes the stochastic dynamics of ion channels. …”
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560
A numerical scheme for the quantile hedging problem
Published 2021“…We prove convergence in the monotone case combining backward stochastic differential equation arguments with the Barles and Jakobsen and Barles and Souganidis approaches for nonlinear PDEs. …”
Journal article