[PDF] Top 20 Modeling Election Problem by a Stochastic Differential Equation
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Modeling Election Problem by a Stochastic Differential Equation
... The rate of support for a candidate depends on a number of factors, such as candidate’s party, election standpoint, personal prestige, world political situation and even order of applicants. Small factors, ... See full document
7
On Differential Growth Equation to Stochastic Growth Model Using Hyperbolic Sine Function in Height/Diameter Modeling of Pines
... growth equation (Zeide growth prediction method is very useful modeling growth and yield of trees due to lack of approximations in measuring the diameter of ... See full document
6
Portfolio Optimization Problem with Delay under Cox Ingersoll Ross Model
... optimization problem with ...Cox-Ingersoll-Ross stochastic volatility ...by stochastic delay differential ...Hamilton-Jacobin-Bellman equation and verification theorem, and the closed- ... See full document
19
Backward-forward linear-quadratic mean-field games with major and minor agents
... LQ problem by minimizing the initial ...ward stochastic differential equation (BSDE) while the minor agents are modeled by some (forward) stochastic differential equations ... See full document
27
A stochastic differential equation analysis of cerebrospinal fluid dynamics
... of modeling noise in CSF dynamics Broadly construed, noise arises from variations in fac- tors that influence the observed outcome – which is the ICP in this paper – but that have been omitted from the ... See full document
10
Dynkin game under g-expectation in continuous time
... of problem. Since this stopping game problem is an extension of the optimal stopping problem, the martingale approach has been used to find a pair of saddle point, and then the value function is ... See full document
13
On stochastic differential equations and a generalised Burgers equation
... One can then discuss comprehensively the existence and uniqueness as well as the structure of solutions to the initial value problem for equation (1.1) by appealing the above argument with suitable choice ... See full document
14
Uncertainty propagation and quantification in a continuous time dynamical system
... Itˆo stochastic differential equations (introduced by Japanese mathematician ...in modeling the stock price, the only information one has is about the past ...Itˆo stochastic ... See full document
45
A Stochastic Differential Equation Inventory Model
... It has been recognized for some time that the demand for some items may be proportional to the inventory on display. Baker and Urban [1] argued that the demand rate of an item is of a polynomial functional form, ... See full document
17
A stochastic differential equation model for pest management
... Especially, spraying of pesticides to crops is intended to reduce the population of pest, but can under some circumstances exacerbate a pest problem. This phenomenon, fre- quently called insecticide-induced ... See full document
13
Nonparametric Model Calibration for Derivatives
... Their numerical resolution, based upon an alternating direction implicit scheme, produces a satisfactory fit under certain assumptions (confirmed by the theoretical difficulties met when studying them). When those ... See full document
26
A Stochastic Version of the Jansen and Rit Neural Mass Model: Analysis and Numerics
... ordinary differential equations (ODEs), ...a stochastic process inheriting the analytical properties of the input process and requiring some framework of stochas- tic analysis for its mathematical ...a ... See full document
35
Stochastic differential equation for two-phase growth model
... Thus a modification to Zheng’s two-phase growth might be developed with respect to birth and processes. Unfortunately, some types of birth and death process are difficult to get their probability distribution, thus ... See full document
31
Sparse Grid Interpolation of Itˆo Stochastic Models in Epidemiology and Systems Biology
... Abstract—Computational modeling enhances our under- standing of seemingly incomprehensible biological ...Surrogate modeling using sparse grid interpolation can alleviate the burden associated with ... See full document
8
Application of the Kalman-Bucy filter in the stochastic differential equation for the modeling of RL circuit
... the stochastic calculus to the problem of modeling electrical ...filtering problem have an important role in the theory of stochastic differential ...a stochastic model by ... See full document
7
A Mean Field Stochastic Maximum Principle for Optimal Control of Forward Backward Stochastic Differential Equations with Jumps via Malliavin Calculus
... type stochastic control problem where the dynamics is governed by a forward and backward stochastic differential equa- tion (SDE) driven by Lévy processes and the information available to the ... See full document
17
Controllability of a Stochastic Neutral Functional Differential Equation Driven by a fBm
... fractional differential equations and their applications are prominent, especially in modeling several complex phenomena such as anomalous diffusion of particles (see, for examples, [6] ...neutral ... See full document
15
Stochastic control representations for penalized backward stochastic differential equations
... backward stochastic differential equation (penalized BSDE for short) to solve reflected backward stochastic differential equation (reflected BSDE for short), and they showed that ... See full document
25
Limit theorems for solutions of stochastic differential equation problems
... Limit Theorem, Stochastic Eigenvalue Problem, Stochastic Boundary Value Poblem, Differential Equation... At the research of physical and engineering problems it is of great.[r] ... See full document
37
Understanding the stochastic partial differential equation approach to smoothing
... Correlation and smoothness are terms used to describe a wide variety of random quantities. In time, space, and many other domains, they both imply the same idea: quantities that occur closer together are more similar ... See full document
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