mml

Class MultiState

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.Discretes

mml.Discretes.Bounded

mml.MultiState

All Implemented Interfaces:

java.lang.Comparable<Value>

public class MultiState
extends Discretes.Bounded

The UnParameterised MultiState Model (MultiState distribution) on data in bounds = [lo, hi], capable of estimating a fully parameterised MultiState.M Model. Also see Multinomial and [www].

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	MultiState.M A fully parameterised MultiState (Multinomial) Model; also see the UnParameterised MultiState Model.

Nested classes/interfaces inherited from class mml.Discretes

Discretes.Bounded, Discretes.Shifted, Discretes.Uniform

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 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
MultiState(Value bounds) bounds = [lwb, upb], on 'this' Model's data-space.

Method Summary

Modifier and Type	Method and Description
Value.Tuple	bounds() The bounds, [lwb(), upb()], on 'this' Model's dataspace.
UPModel.Est	estimator(Value t) Return an Estimator for a MultiState Model; this version has no non-trivial parameters, but another version could -- if it used a non-uniform prior, say.
MultiState.M	sp2Model(double m1, double m2, Value sp) sp2Model(msg1, msg2, sp), where sp is the statistical parameters, that is the probabilities, return a fully parameterised MultiState Model.
Vector	stats(boolean add, Value ss0, Value ss1) For sufficient statisticses 'ss0' and 'ss1', either combine ss0 and ss1 (add=true), or remove ss1 from ss0 (add=false).
Vector	stats(Vector ds, int lo, int hi) Return sufficient statistics, that is frequency counts, for elements [lo, hi) of data-set 'ds'.

Methods inherited from class mml.Discretes.Bounded

freqs, freqs, freqs, lwb_n, lwb, upb_n, upb

Methods inherited from class mml.Discretes

apply, NandSum, NandSum, shifted, shifted

Methods inherited from class mml.UPModel

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

Constructor Detail

MultiState

public MultiState(Value bounds)

bounds = [lwb, upb], on 'this' Model's data-space.

Method Detail

bounds

public Value.Tuple bounds()

Description copied from class: Discretes.Bounded

The bounds, [lwb(), upb()], on 'this' Model's dataspace.

Specified by:

bounds in class Discretes.Bounded

sp2Model

public MultiState.M sp2Model(double m1,
                             double m2,
                             Value sp)

sp2Model(msg1, msg2, sp), where sp is the statistical parameters, that is the probabilities, return a fully parameterised MultiState Model.

Specified by:

sp2Model in class Discretes

stats

public Vector stats(Vector ds,
                    int lo,
                    int hi)

Return sufficient statistics, that is frequency counts, for elements [lo, hi) of data-set 'ds'. More on stats here.

Specified by:

stats in class UPModel

stats

public Vector stats(boolean add,
                    Value ss0,
                    Value ss1)

For sufficient statisticses 'ss0' and 'ss1', either combine ss0 and ss1 (add=true), or remove ss1 from ss0 (add=false). Note, it is only valid to remove from ss0 the contribution of elements previously counted in ss0. Also see stats(ds,lo,hi).

Specified by:

stats in class UPModel

estimator

public UPModel.Est estimator(Value t)

Return an Estimator for a MultiState Model; this version has no non-trivial parameters, but another version could -- if it used a non-uniform prior, say.

Overrides:

estimator in class UPModel