mml

Class ByPdf.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.ByPdf.M

All Implemented Interfaces:

java.lang.Comparable<Value>, HasPdf

Direct Known Subclasses:

Continuous.M, R_D.M

Enclosing class:

ByPdf

public abstract class ByPdf.M
extends UPModel.M
implements HasPdf

The (abstract) class of fully parameterised ByPdf Models; specify nlPdf(d). The UnParameterised Model is ByPdf. Also see interface HasPdf.

Nested Class Summary

Nested classes/interfaces inherited from class mml.Model

Model.Defaults, Model.Transform

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 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
abstract double	nlPdf(Value d) The negative log pdf, nlPdf(d), of a datum d, must be specified to define a ByPdf.
double	nlPr(double nlAoM, Value d) A convenience function using a negative log AoM, 'nlAoM', other than that set in the datum, d, itself.
double	nlPr(Value d) The negative log probability of datum d; returns nlPdf(d) + d.nlAoM().
double	pdf(Value d) Probability density function, pdf(d), of a datum d; returns exp(-nlPdf(d)).

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, nlLH, pr, random, 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

Constructor Detail

M

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

Method Detail

pdf

public double pdf(Value d)

Probability density function, pdf(d), of a datum d; returns exp(-nlPdf(d)).

Specified by:

pdf in interface HasPdf

nlPdf

public abstract double nlPdf(Value d)

The negative log pdf, nlPdf(d), of a datum d, must be specified to define a ByPdf. Also see pdf(d).

Specified by:

nlPdf in interface HasPdf

nlPr

public double nlPr(double nlAoM,
                   Value d)

A convenience function using a negative log AoM, 'nlAoM', other than that set in the datum, d, itself. This might, for example, be useful where the datum, d, has gone through a transformation that has zapped its nlAoM().

nlPr

public double nlPr(Value d)

The negative log probability of datum d; returns nlPdf(d) + d.nlAoM().

Specified by:

nlPr in class Model