Fingerprint
Dive into the research topics of 'Estimating parameters in stochastic systems: a variational Bayesian approach'. Together they form a unique fingerprint.
Mathematics
Bayesian Approach
Stochastic Systems
Hybrid Monte Carlo
Dynamical system
3D Model
Time Windows
State Estimation
Local Polynomial
Lorenz System
Hyperparameters
Local Approximation
Kalman Filter
Polynomial Approximation
Dimensionality
Diffusion Coefficient
Smoothing
Evolution Equation
Univariate
Likelihood
Vary
Stochastic Processes
Stochastic Equations
Nonlinearity
Asymptotic Behavior
Model
Observation
Modeling
Converge
Differential equation
Range of data
Framework
Estimate
Physics & Astronomy
estimating
inference
dynamical systems
state estimation
Kalman filters
stochastic processes
smoothing
polynomials
diffusion coefficient
differential equations
nonlinearity
estimates
approximation
Engineering & Materials Science
Stochastic systems
Dynamical systems
Polynomial approximation
Random processes
State estimation
Kalman filters
Differential equations