搜索结果: 1-15 共查到“stochastic differential”相关记录25条 . 查询时间(0.109 秒)
Penalized importance sampling for parameter estimation in stochastic differential equations
Chronic wasting disease Euler-Maruyama scheme Maximum likelihood estimation Partially observed discrete sparse data Penalized importance sampling Stochastic di
2013/6/14
We consider the problem of estimating parameters of stochastic differential equations with discrete-time observations that are either completely or partially observed. The transition density between t...
On Approximation of the Backward Stochastic Differential Equation
Backward SDE approximation of the solution small noise asymptotics
2013/6/14
We consider the problem of approximation of the solution of the backward stochastic differential equation in the Markovian case. We suppose that the trend coefficient of the diffusion process depends ...
Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations
Adaptive smoothing Markov chain Monte Carlo Smoothing spline Stochastic dierential equation
2012/11/22
The smoothing spline is one of the most popular curve-fitting methods, partly because of empirical evidence supporting its effectiveness and partly because of its elegant mathematical formulation. How...
Optimal simulation schemes for Levy driven stochastic differential equations
Levy-driven stochastic differential equations high order discretization schemes weak approximation regular variation
2012/4/28
We consider a general class of high order weak approximation schemes for stochastic differential equations driven by L\'evy processes with infinite activity. These schemes combine a compound Poisson a...
A Quasi-Sure Approach to the Control of Non-Markovian Stochastic Differential Equations
Stochastic optimal control non-Markovian SDE second order BSDE G-expectation random G-expectation volatility uncertainty risk measure
2011/7/5
We study stochastic differential equations (SDEs) whose drift and
diffusion coefficients are path-dependent and controlled. We construct
a value process on the canonical path space, considered simul...
Information Theoretic Limits on Learning Stochastic Differential Equations
drift high dimensional vector interaction coefficients
2011/3/31
Consider the problem of learning the drift coefficient of a stochastic differential equation from a sample path. In this paper, we assume that the drift is parametrized by a high dimensional vector.
Fractional Lévy-driven Ornstein--Uhlenbeck processes and stochastic differential equations
fractional integral equation fractional Levy process fractional Levy–Ornstein–Uhlenbeck process long-range dependence p-variation Riemann–Stieltjes integration stationary solution to a fractional SDE stochastic diff erential equation
2011/3/18
Using Riemann-Stieltjes methods for integrators of bounded $p$-variation we define a pathwise integral driven by a fractional L\'{e}vy process (FLP). To explicitly solve general fractional stochastic ...
Optimal sequential change-detection for fractional stochastic differential equations
优化序贯Optimal sequential change-detection fractional stochastic differential equations
2011/3/18
The sequential detection of an abrupt and persistent change in the dynamics of an arbitrary continuous-path stochastic process is considered; the optimality of the cumulative sums (CUSUM) test is esta...
Applications of time-delayed backward stochastic differential equations to pricing, hedging and management of financial and insurance risks
backward stochastic differential equations participating contracts
2010/10/20
In this paper we investigate novel applications of a new class of equations which we call time-delayed backward stochastic differential equations. Time-delayed BSDEs may arise when we want to find a ...
Picard approximation of stochastic differential equations and application to LIBOR models
Picard approximation stochastic differential equations application LIBOR models
2010/10/21
The aim of this work is to provide fast and accurate approximation schemes for the Monte Carlo pricing of derivatives in LIBOR market models. Standard methods can be applied to solve the stochastic di...
Free boundary problem for controlled stochastic differential equations
Free boundary problem controlled stochastic differential equations
2009/9/24
Free boundary problem for controlled stochastic differential equations。
On the approximation theorem of the Wong-Zakai type for the functional stochastic differential equations
the approximation theorem the Wong-Zakai type the functional stochastic differential equations
2009/9/23
On the approximation theorem of the Wong-Zakai type for the functional stochastic differential equations。
Existence theorem and Wong-Zakai approximations for multivalued stochastic differential equations
Existence theorem Wong-Zakai approximations multivalued stochastic differential equations
2009/9/22
We consider finite-dimensional multivalued stochastic
differential equations where the drift has a multivalued and monotone
term. Existence and approximation results are obtained by an existence
th...
Infinite horizon reflected backward stochastic differential equations and applications in mixed control and game problems
Backward stochastic differential equation Infinite horizon Reflected barriers
2009/9/22
We prove existence and uniqueness results of the solution
for infinite horizon reflected backward stochastic differential equations
with one or two barriers. We also apply these results to get the
...
A logarithmic Sobolev inequality for one-dimensional multivalued stochastic differential equations
A logarithmic Sobolev inequality one-dimensional multivalued stochastic differential equations
2009/9/21
We establish a logarithmic Sobolev inequality for a one-
-dimensional multivalued stochastic differential equation associated with
the subdillerential of a convex lower semicontinuous function, usin...