computePx {EDISON}

Compute projection matrix.

Description

This function computes the projection matrix that is needed for calculation of the likelihood.

Usage

computePx(len, x, delta2)

Arguments

len

Delimiting breakpoints.

x

The observations of x in the corresponding state.

delta2

Signal-to-noise ratio hyperparameter.

Value

The projection matrix.

Author(s)

Sophie Lebre

References

For more information about the hyperparameters and the functional form of the likelihood, see:

Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure", Machine Learning.

See Also

CalculateLikelihoodRatio