mml

Class LaplaceUPM.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.ByPdf.M

mml.Continuous.M

mml.LaplaceUPM.M

All Implemented Interfaces:

java.lang.Comparable<Value>, HasPdf

Enclosing class:

LaplaceUPM

public class LaplaceUPM.M
extends Continuous.M

The fully parameterised Laplace probability distribution. Also see it UnParameterised.

Nested Class Summary

Nested classes/interfaces inherited from class mml.Continuous.M

Continuous.M.Transform

Nested classes/interfaces inherited from class mml.Model

Model.Defaults

Nested classes/interfaces inherited from class la.la.Value

Value.Atomic, Value.Bool, Value.Char, Value.Chars, Value.Cts, Value.Defer, Value.Discrete, Value.Enum, Value.Inc_Or, Value.Int, Value.Lambda, Value.List, Value.Maybe, Value.Option, Value.Real, Value.Scannable, Value.Structured, Value.Triv, Value.Tuple

Field Summary

Fields

Modifier and Type	Field and Description
double	b The median, μ, and the scale, b, of this Model.
double	mu The median, μ, and the scale, b, of this Model.

Fields inherited from class mml.Model

msg1, msg2, sp

Fields inherited from class la.la.Value

C, comparator, CR, E, eight, ffalse, five, fiveR, four, fourR, half, negCR, negOne, negOneR, negTenR, nilVal, nine, None, one, oneR, PI, PIby2, point01, point1, point5, point9, quarter, seven, six, ten, tenR, three, threeR, triv, ttrue, two, twoR, zero, zeroR

Constructor Summary

Constructors

Constructor and Description
M(double msg1, double msg2, Value sp)

Method Summary

Modifier and Type	Method and Description
double	nlLH(Value ss) Assumes that statistics are ~the data-set itself.
double	nlPdf_x(double x) The pdf is 1/2b e-|x-μ|/b, its negative log being |x-μ|/b + log(2b).
double	random_x() Generate a random (double) from 'this' Model.

Methods inherited from class mml.Continuous.M

nlPdf, random_x, random, random, random, transform

Methods inherited from class mml.ByPdf.M

nlPr, nlPr, pdf

Methods inherited from class mml.UPModel.M

asGiven, asGiven, stats, stats, toString

Methods inherited from class mml.Model

asEstimator, asUPModel, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, pr, random, randomSeries, statParams, stats, stats, sumNlPr, transform, type, zeroTriv

Methods inherited from class la.la.Value

AoM, apply, bOp, compareTo, cons, cts, elt, errMsg, error, force, isTuple, just, main, n, nElts, nlAoM, pair, print, quad, real, RTE, triple, tuple, UOE, uOp, x

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

mu

public final double mu

The median, μ, and the scale, b, of this Model.

b

public final double b

The median, μ, and the scale, b, of this Model.

Constructor Detail

M

public M(double msg1,
         double msg2,
         Value sp)

Method Detail

nlPdf_x

public double nlPdf_x(double x)

The pdf is ¹/_2b e^-|x-μ|/b, its negative log being |x-μ|/b + log(2b). This amounts to two (negative) Exponentials back to back at μ.

Specified by:

nlPdf_x in class Continuous.M

nlLH

public double nlLH(Value ss)

Assumes that statistics are ~the data-set itself.

Specified by:

nlLH in class Model

random_x

public double random_x()

Generate a random (double) from 'this' Model.

Overrides:

random_x in class Continuous.M