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Numerical solution of stochastic quantum master equations using stochastic interacting wave functions

Journal of computational physics, 2018-08, Vol.367, p.28-48

2018

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Weak local linear discretizations for stochastic differential equations: Convergence and numerical schemes

Journal of computational and applied mathematics, 2006-12, Vol.197 (2), p.578-596

2006

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Numerical simulation of nonlinear dynamical systems driven by commutative noise

Journal of computational physics, 2007-10, Vol.226 (2), p.1219-1233

2007

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Random Field–Union Intersection tests for EEG/MEG imaging

NeuroImage (Orlando, Fla.), 2004-05, Vol.22 (1), p.268-276

2004

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A higher order local linearization method for solving ordinary differential equations

Applied mathematics and computation, 2007-02, Vol.185 (1), p.197-212

2007

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High order local linearization methods: An approach for constructing A-stable explicit schemes for stochastic differential equations with additive noise

BIT (Nordisk Tidskrift for Informationsbehandling), 2010-09, Vol.50 (3), p.509-539

2010

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Adaptive covariance estimation with model selection

Mathematical methods of statistics, 2012-10, Vol.21 (4), p.283-297

2012

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A class of orthogonal integrators for stochastic differential equations

Journal of computational and applied mathematics, 2005-10, Vol.182 (2), p.350-361

2005

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The local linearization method for numerical integration of random differential equations

BIT (Lisse : trykt utg.), 2005-03, Vol.45 (1), p.1-14

2005

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On the oscillatory behavior of coupled stochastic harmonic oscillators driven by random forces

Statistics & probability letters, 2019-03, Vol.146, p.85-89

2019

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Nonlinear EEG analysis based on a neural mass model

Biological cybernetics, 1999-11, Vol.81 (5-6), p.415-424

1999

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Inference Methods for Discretely Observed Continuous-Time Stochastic Volatility Models: A Commented Overview

Asia-Pacific financial markets, 2005-06, Vol.12 (2), p.109-141

2005

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A STABLE NUMERICAL SCHEME FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH MULTIPLICATIVE NOISE

SIAM journal on numerical analysis, 2017-01, Vol.55 (4), p.1614-1649

2017

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A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering

NeuroImage (Orlando, Fla.), 2004-10, Vol.23 (2), p.435-453

2004

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Estimation of Nonparametric Autoregressive Time Series Models Under Dynamical Constraints

Journal of time series analysis, 2005-05, Vol.26 (3), p.371-397

2005

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Local Linearization—Runge–Kutta methods: A class of A-stable explicit integrators for dynamical systems

Mathematical and computer modelling, 2013-02, Vol.57 (3-4), p.720-740

2013

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A numerical method for the computation of the Lyapunov exponents of nonlinear ordinary differential equations

Applied mathematics and computation, 2002-09, Vol.131 (1), p.21-37

2002

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Dynamic properties of the local linearization method for initial-value problems

Applied mathematics and computation, 2002-02, Vol.126 (1), p.63-81

2002

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Approximation of continuous time stochastic processes by the local linearization method revisited

Stochastic analysis and applications, 2002-03, Vol.20 (1), p.105-121

2002

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Local Linearization-Runge Kutta (LLRK) Methods for Solving Ordinary Differential Equations

Computational Science – ICCS 2006, 2006, p.132-139

2006

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Recursive penalized least squares solution for dynamical inverse problems of EEG generation

Human brain mapping, 2004-04, Vol.21 (4), p.221-235

2004

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Local linearization method for the numerical solution of stochastic differential equations

Annals of the Institute of Statistical Mathematics, 1996-12, Vol.48 (4), p.631-644

1996

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157. Spatio-temporal correlations in fMRI time series: The innovation approach

Clinical neurophysiology, 2008, Vol.119 (9), p.e137-e138

2008

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Spatio-temporal correlations from fMRI time series based on the NN-ARx model

Journal of integrative neuroscience, 2010-12, Vol.9 (4), p.381-406

2010

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High resolution quantitative EEG analysis

Brain topography, 1994-03, Vol.6 (3), p.211-219

1994

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Numerical solution of stochastic quantum master equations using stochastic interacting wave functions

Weak local linear discretizations for stochastic differential equations: Convergence and numerical schemes

Numerical simulation of nonlinear dynamical systems driven by commutative noise

Random Field–Union Intersection tests for EEG/MEG imaging

A higher order local linearization method for solving ordinary differential equations

High order local linearization methods: An approach for constructing A-stable explicit schemes for stochastic differential equations with additive noise

Adaptive covariance estimation with model selection

A class of orthogonal integrators for stochastic differential equations

The local linearization method for numerical integration of random differential equations

On the oscillatory behavior of coupled stochastic harmonic oscillators driven by random forces

Nonlinear EEG analysis based on a neural mass model

Inference Methods for Discretely Observed Continuous-Time Stochastic Volatility Models: A Commented Overview

A STABLE NUMERICAL SCHEME FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH MULTIPLICATIVE NOISE

A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering

Estimation of Nonparametric Autoregressive Time Series Models Under Dynamical Constraints

Local Linearization—Runge–Kutta methods: A class of A-stable explicit integrators for dynamical systems

A numerical method for the computation of the Lyapunov exponents of nonlinear ordinary differential equations

Dynamic properties of the local linearization method for initial-value problems

Approximation of continuous time stochastic processes by the local linearization method revisited

Local Linearization-Runge Kutta (LLRK) Methods for Solving Ordinary Differential Equations

Recursive penalized least squares solution for dynamical inverse problems of EEG generation

Local linearization method for the numerical solution of stochastic differential equations

157. Spatio-temporal correlations in fMRI time series: The innovation approach

Spatio-temporal correlations from fMRI time series based on the NN-ARx model

High resolution quantitative EEG analysis

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