public class Int1 extends Discretes
Int1.M
.MML.WallaceInt0
, MML.logStar0
,
MML.Poisson0
and MML.Geometric0
, but Int1
might be useful and does make a simple case study.Modifier and Type | Class and Description |
---|---|
class |
Int1.M
A (trivially) fully parameterised model of integers >0 where
pr(n) = 1/(n(n+1)).
|
Discretes.Bounded, Discretes.Shifted, Discretes.Uniform
UPModel.Est, UPModel.Transform
Function.Native.WithInverse
Function.Cts2Cts, Function.Cts2Cts2Cts, Function.CtsD2CtsD, Function.HasInverse, Function.Native, Function.Native2, Function.Native3
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
Modifier and Type | Method and Description |
---|---|
Int1.M |
sp2Model(double msg1,
double msg2,
Value sp)
Given two-part message lengths msg1 & msg2, and statistical
parameter sp, return a fully parameterised
M-Model . |
Value |
stats(boolean add,
Value ss0,
Value ss1)
Combine sufficient statisticses 'ss0' and 'ss1' additively
(add=true), or remove ss1 from ss0 (add=false).
|
Value |
stats(Vector ds,
int lo,
int hi)
Sufficient statistics 'ss' are the data-set itself.
|
defnParams, estimator, main, stats, stats, toString, transform
public Int1(Value dp)
public Value stats(Vector ds, int lo, int hi)
public Value stats(boolean add, Value ss0, Value ss1)
UPModel
stats(ds,lo,hi)
.