mml

Class Independent

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.Multivariate

mml.Independent

All Implemented Interfaces:

java.lang.Comparable<Value>

public class Independent
extends Multivariate

A Tuple of UnParameterised Models makes an UnParameterised Model of Tuples, i.e., of Multivariate data, and a Tuple of statistical parameters make the statistical parameter of the Model, etc.. The components of a datum Tuple are modelled independently. Also see Dependent, and the fully parameterised Independent.M Model.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Independent.M A fully parameterised Model of Tuples made from a Tuple of independent Models by the UnParameterised Independent Model.

Nested classes/interfaces inherited from class mml.UPModel

UPModel.Est, UPModel.Transform

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
UPModel[]	upms The sub-UPModels making 'this' Independent.

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
Independent(Value upms) Given a Tuple of UnParameterised Models, 'upms', construct an UnParameterised Model of Tuples — of multivariate data.

Method Summary

Modifier and Type	Method and Description
UPModel.Est	estimator(Value ps) Given a Tuple ps, where ps.elt(i) is the parameter of sub-Model Estimator upms[i].estimator(ps.elt(i)), return an Estimator for the Independent Model.
Independent.M	sp2Model(double m1, double m2, Value sps) Statistical parameter sps = ⟨upms[0]'s, ... etc.⟩.
Value.Tuple	stats(boolean add, Value ss0, Value ss1) Calls upon the stats(,,) of the upms[].
Value.Tuple	stats(Vector ds, int lo, int hi) Given a multivariate data-set, ds, return sufficient statistics, ss, a Tuple of course, one element per sub-upms.
int	width() The number of variables (columns) and of upms[].

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

upms

public final UPModel[] upms

The sub-UPModels making 'this' Independent. Also see M.ms[].

Constructor Detail

Independent

public Independent(Value upms)

Given a Tuple of UnParameterised Models, 'upms', construct an UnParameterised Model of Tuples — of multivariate data. See upms[].

Method Detail

width

public int width()

The number of variables (columns) and of upms[].

Specified by:

width in class Multivariate

sp2Model

public Independent.M sp2Model(double m1,
                              double m2,
                              Value sps)

Statistical parameter sps = ⟨upms[0]'s, ... etc.⟩.

Specified by:

sp2Model in class UPModel

stats

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

Given a multivariate data-set, ds, return sufficient statistics, ss, a Tuple of course, one element per sub-upms. Note that the components of a datum are modelled independently so an element of ss depends on just the corresponding column of ds. May or may not equal Independent.M.stats(Vector,int,int). More on stats here.

Specified by:

stats in class UPModel

stats

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

Calls upon the stats(,,) of the upms[]. May or may not equal Independent.M.stats(boolean,Value,Value).

Specified by:

stats in class UPModel

estimator

public UPModel.Est estimator(Value ps)

Given a Tuple ps, where ps.elt(i) is the parameter of sub-Model Estimator upms[i].estimator(ps.elt(i)), return an Estimator for the Independent Model.

Overrides:

estimator in class UPModel