Package org.drip.dynamics.kolmogorov
Interface RiskenOmegaEstimator
public interface RiskenOmegaEstimator
RiskenOmegaEstimator exposes the Omega Estimation using the Risken Algorithm. The References are:
- Bogoliubov, N. N., and D. P. Sankevich (1994): N. N. Bogoliubov and Statistical Mechanics Russian Mathematical Surveys 49 (5) 19-49
- Holubec, V., K. Kroy, and S. Steffenoni (2019): Physically Consistent Numerical Solver for Time-dependent Fokker-Planck Equations Physical Review E 99 (4) 032117
- Kadanoff, L. P. (2000): Statistical Physics: Statics, Dynamics, and Re-normalization World Scientific
- Ottinger, H. C. (1996): Stochastic Processes in Polymeric Fluids Springer-Verlag Berlin-Heidelberg
- Wikipedia (2019): Fokker-Planck Equation https://en.wikipedia.org/wiki/Fokker%E2%80%93Planck_equation
- Module = Product Core Module
- Library = Fixed Income Analytics
- Project = HJM, Hull White, LMM, and SABR Dynamic Evolution Models
- Package = Fokker Planck Kolmogorov Forward/Backward
- Author:
- Lakshmi Krishnamurthy
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Method Summary
Modifier and Type Method Description double[][]
estimateOmega(DiffusionTensor diffusionTensor, RdToR1Drift[] driftFunctionArray)
Estimate Omega Matrix using the Risken Algorithm
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Method Details
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estimateOmega
Estimate Omega Matrix using the Risken Algorithm- Parameters:
driftFunctionArray
- Drift Function ArraydiffusionTensor
- Diffusion Tensor- Returns:
- The Omega Matrix Estimate
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