mml

Class Continuous.Uniform

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.ByPdf

mml.Continuous

mml.Continuous.Bounded

mml.Continuous.Uniform

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Continuous

public static class Continuous.Uniform
extends Continuous.Bounded

The UnParameterised Uniform Continuous Model on the range [lwb, upb]. Also see the fully (trivially) parameterised Continuous.Uniform.M, and the Discretes.Uniform.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Continuous.Uniform.M Mdl should be sufficient for many purposes.

Nested classes/interfaces inherited from class mml.Continuous

Continuous.Bounded, Continuous.Transform, Continuous.Uniform

Nested classes/interfaces inherited from class mml.UPModel

UPModel.Est

Nested classes/interfaces inherited from class la.la.Function.Native

Function.Native.WithInverse

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

Function.Cts2Cts, Function.Cts2Cts2Cts, Function.CtsD2CtsD, Function.HasInverse, Function.Native, Function.Native2, Function.Native3

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
Continuous.Uniform.M	Mdl The fully parameterised Uniform continuous Model on [lwb, upb].

Fields inherited from class mml.UPModel

dp

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
Uniform(Value bounds) Construct an UnParameterised Uniform Model (distribution) over the bounds=[lwb,upb].

Method Summary

Modifier and Type	Method and Description
Value.Tuple	bounds() Return (lwb, upb) of the data-space.
Estimator	estimator(Value t) The trivial Estimator that is a Uniform's.
double	lwb_x() The lower bound of the data-space as a double.
double	nlLH(Value ss) Given sufficient statistics, ss = stats(ds), of a data-set, ds, return the negative log likelihood of ds.
Continuous.Uniform.M	sp2Model(double m1, double m2, Value t) Return a fully (trivially) parameterised Uniform Continuous Model; note that the statistical parameter, t, is trivial.
Value.Tuple	stats(boolean add, Value ss0, Value ss1) Combine sufficient statisticses 'ss0' and 'ss1' additively (add=true), or remove ss1 from ss0 (add=false).
Value.Tuple	stats(Vector ds, int lo, int hi) Given a data-set, ds, return sufficient statistics, ss, that is the (weighted) number of elements and their nlAoM.
double	upb_x() The upper bound of the data-space as a double.

Methods inherited from class mml.Continuous.Bounded

lwb, upb

Methods inherited from class mml.Continuous

transform

Methods inherited from class mml.UPModel

apply, defnParams, main, stats, stats, toString, transform

Methods inherited from class la.la.Function

bOp, fromBop, fromUop, type, uOp

Methods inherited from class la.la.Value

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

Methods inherited from class java.lang.Object

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

Field Detail

Mdl

public final Continuous.Uniform.M Mdl

The fully parameterised Uniform continuous Model on [lwb, upb].

Constructor Detail

Uniform

public Uniform(Value bounds)

Construct an UnParameterised Uniform Model (distribution) over the bounds=[lwb,upb].

Method Detail

bounds

public Value.Tuple bounds()

Description copied from class: Continuous.Bounded

Return (lwb, upb) of the data-space.

Specified by:

bounds in class Continuous.Bounded

lwb_x

public double lwb_x()

Description copied from class: Continuous.Bounded

The lower bound of the data-space as a double.

Overrides:

lwb_x in class Continuous.Bounded

upb_x

public double upb_x()

Description copied from class: Continuous.Bounded

The upper bound of the data-space as a double.

Overrides:

upb_x in class Continuous.Bounded

sp2Model

public Continuous.Uniform.M sp2Model(double m1,
                                     double m2,
                                     Value t)

Return a fully (trivially) parameterised Uniform Continuous Model; note that the statistical parameter, t, is trivial.

Specified by:

sp2Model in class Continuous

stats

public Value.Tuple stats(Vector ds,
                         int lo,
                         int hi)

Given a data-set, ds, return sufficient statistics, ss, that is the (weighted) number of elements and their nlAoM. More on stats here.

Specified by:

stats in class UPModel

stats

public Value.Tuple stats(boolean add,
                         Value ss0,
                         Value ss1)

Description copied from class: UPModel

Combine sufficient statisticses 'ss0' and 'ss1' additively (add=true), or remove ss1 from ss0 (add=false). Also see stats(ds,lo,hi).

Specified by:

stats in class UPModel

nlLH

public double nlLH(Value ss)

Given sufficient statistics, ss = stats(ds), of a data-set, ds, return the negative log likelihood of ds. The statistical parameter of Continuous.Uniform.M is trivial, so nlLH does not depend on it and nlLH can be here in the UnParameterised Model.

estimator

public Estimator estimator(Value t)

The trivial Estimator that is a Uniform's.

Overrides:

estimator in class UPModel