compute_starting_point_sann

Compute a starting point for the Simulated Annealing algorithm.

A method for the Bayesian functional linear regression model (scalar-on-function),
including two estimators of the coefficient function and an estimator of its support.
A representation of the posterior distribution is also available. Grollemund P-M., Abraham C.,
Baragatti M., Pudlo P. (2019) <doi:10.1214/18-BA1095>.

Paul-Marie Grollemund

bliss

Bayesian Functional Linear Regression with Sparse Step Functions

Isabelle Sanchez

Meili Baragatti

compute_starting_point_sann function

<dl><dt>beta_expe</dt>
<dd>a numerical vector, the expectation of the coefficient
function posterior sample.</dd></dl>

Arguments

compute_starting_point_sann — compute_starting_point_sann

<dl>

<dt>beta_expe</dt>
<dd>a numerical vector, the expectation of the coefficient
function posterior sample.</dd>

</dl>

compute_starting_point_sann: compute_starting_point_sann

Description

Usage

Value

Arguments

Examples