time-to-botec/js/node_modules/@stdlib/stats/base/dists/laplace/entropy
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Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00
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Entropy

Laplace distribution differential entropy.

The differential entropy (in nats) for a Laplace random variable with location μ and scale b > 0 is

Differential entropy for a Laplace distribution.

where e is Euler's number.

Usage

var entropy = require( '@stdlib/stats/base/dists/laplace/entropy' );

entropy( mu, b )

Returns the differential entropy for a Laplace distribution with location parameter mu and scale parameter b (in nats).

var y = entropy( 2.0, 1.0 );
// returns ~1.693

y = entropy( 0.0, 1.0 );
// returns ~1.693

y = entropy( -1.0, 4.0 );
// returns ~3.079

If provided NaN as any argument, the function returns NaN.

var y = entropy( NaN, 1.0 );
// returns NaN

y = entropy( 0.0, NaN );
// returns NaN

If provided b <= 0, the function returns NaN.

var y = entropy( 0.0, 0.0 );
// returns NaN

y = entropy( 0.0, -1.0 );
// returns NaN

Examples

var randu = require( '@stdlib/random/base/randu' );
var entropy = require( '@stdlib/stats/base/dists/laplace/entropy' );

var mu;
var b;
var y;
var i;

for ( i = 0; i < 10; i++ ) {
    mu = ( randu()*10.0 ) - 5.0;
    b = randu() * 20.0;
    y = entropy( mu, b );
    console.log( 'µ: %d, b: %d, h(X;µ,b): %d', mu.toFixed( 4 ), b.toFixed( 4 ), y.toFixed( 4 ) );
}