statistics-0.15.2.0: A library of statistical types, data, and functions

Copyright(c) 2015 Mihai Maruseac
LicenseBSD3
Maintainermihai.maruseac@maruseac.com
Stabilityexperimental
Portabilityportable
Safe HaskellNone
LanguageHaskell98

Statistics.Distribution.Laplace

Contents

Description

The Laplace distribution. This is the continuous probability defined as the difference of two iid exponential random variables or a Brownian motion evaluated as exponentially distributed times. It is used in differential privacy (Laplace Method), speech recognition and least absolute deviations method (Laplace's first law of errors, giving a robust regression method)

Synopsis

Documentation

data LaplaceDistribution Source #

Instances
Eq LaplaceDistribution Source # 
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Data LaplaceDistribution Source # 
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Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> LaplaceDistribution -> c LaplaceDistribution #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c LaplaceDistribution #

toConstr :: LaplaceDistribution -> Constr #

dataTypeOf :: LaplaceDistribution -> DataType #

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c LaplaceDistribution) #

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c LaplaceDistribution) #

gmapT :: (forall b. Data b => b -> b) -> LaplaceDistribution -> LaplaceDistribution #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> LaplaceDistribution -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> LaplaceDistribution -> r #

gmapQ :: (forall d. Data d => d -> u) -> LaplaceDistribution -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> LaplaceDistribution -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> LaplaceDistribution -> m LaplaceDistribution #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> LaplaceDistribution -> m LaplaceDistribution #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> LaplaceDistribution -> m LaplaceDistribution #

Read LaplaceDistribution Source # 
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Show LaplaceDistribution Source # 
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Generic LaplaceDistribution Source # 
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Associated Types

type Rep LaplaceDistribution :: Type -> Type #

ToJSON LaplaceDistribution Source # 
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FromJSON LaplaceDistribution Source # 
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Binary LaplaceDistribution Source # 
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ContGen LaplaceDistribution Source # 
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Entropy LaplaceDistribution Source # 
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MaybeEntropy LaplaceDistribution Source # 
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Variance LaplaceDistribution Source # 
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MaybeVariance LaplaceDistribution Source # 
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Mean LaplaceDistribution Source # 
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MaybeMean LaplaceDistribution Source # 
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ContDistr LaplaceDistribution Source # 
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Distribution LaplaceDistribution Source # 
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FromSample LaplaceDistribution Double Source #

Create Laplace distribution from sample. No tests are made to check whether it truly is Laplace. Location of distribution estimated as median of sample.

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type Rep LaplaceDistribution Source # 
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type Rep LaplaceDistribution = D1 (MetaData "LaplaceDistribution" "Statistics.Distribution.Laplace" "statistics-0.15.2.0-FCVAYbUNN6k6ys2hOZ1wTy" False) (C1 (MetaCons "LD" PrefixI True) (S1 (MetaSel (Just "ldLocation") SourceUnpack SourceStrict DecidedStrict) (Rec0 Double) :*: S1 (MetaSel (Just "ldScale") SourceUnpack SourceStrict DecidedStrict) (Rec0 Double)))

Constructors

laplace Source #

Arguments

:: Double

Location

-> Double

Scale

-> LaplaceDistribution 

Create an Laplace distribution.

laplaceE Source #

Arguments

:: Double

Location

-> Double

Scale

-> Maybe LaplaceDistribution 

Create an Laplace distribution.

Accessors