sde: Stochastic Differential Equation Simulation and Inference Functions

Functions for simulation and inference for stochastic differential equations (SDEs) accompany the book 'Simulation and Inference for Stochastic Differential Equations: With R Examples' by Stefano Maria Iacus, published in 2008. The dataset's specific size, format, and temporal coverage are not detailed in the provided metadata.

Use Cases

• Simulating stochastic processes based on provided SDE functions.
• Performing statistical inference on SDE model parameters.
• Testing numerical methods for solving stochastic differential equations.
• Reproducing examples from the associated textbook on SDEs.

Strengths

• Directly accompanies a published academic textbook, providing a practical implementation reference.
• Authored by a recognized expert, Stefano Maria Iacus, in the field of SDEs.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count, file formats, and last update date are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Stefano Maria Iacus

Collection Method

Created to accompany the academic book 'Simulation and Inference for Stochastic Differential Equations: With R Examples'.

Time Range

Associated with the 2008 publication of the accompanying book.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage is not specified.