MuTE Toolbox: Multivariate Transfer Entropy Estimation Methods

A MATLAB toolbox implements three distinct approaches for evaluating probability distribution functions to estimate multivariate transfer entropy. The toolbox was authored by Alessandro Montalto and is available under an Open Access license. The specific implementation details and version history are not provided in the available metadata.

Use Cases

• Quantifying causal relationships in multivariate time series based on transfer entropy methods described in the toolbox.
• Comparing different probability distribution estimation techniques for information-theoretic analysis.
• Analyzing directed information flow in complex systems like neural or financial networks using the implemented MATLAB functions.

Strengths

• Implements three different methodological approaches for transfer entropy estimation, providing flexibility.
• Authored by a named individual, Alessandro Montalto, which provides a point of contact for the methodology.

Limitations

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

Provenance

Source

paperswithcode

Collection Method

Toolbox implementation by the author.