Safe Haskell	Safe
Language	Haskell98

Numeric.Probability.Example.Alarm

Contents

Numeric.Probability.Example.Alarm network

Synopsis

type Probability = Rational
type Dist a = T Probability a
type PBool = T Probability Bool
flp :: Probability -> PBool
b :: PBool
e :: PBool
a :: Bool -> Bool -> PBool
j :: Bool -> PBool
m :: Bool -> PBool
data Burglary = B {
- burglary :: Bool
- earthquake :: Bool
- alarm :: Bool
- john :: Bool
- mary :: Bool
}
bJoint :: Dist Burglary
pmj :: Probability

Documentation

type Probability = Rational Source #

type Dist a = T Probability a Source #

type PBool = T Probability Bool Source #

flp :: Probability -> PBool Source #

Numeric.Probability.Example.Alarm network

b :: PBool Source #

prior burglary 1%

e :: PBool Source #

prior earthquake 0.1%

a :: Bool -> Bool -> PBool Source #

conditional probability of alarm given burglary and earthquake

j :: Bool -> PBool Source #

conditional probability of john calling given alarm

m :: Bool -> PBool Source #

conditional probability of mary calling given alarm

data Burglary Source #

calculate the full joint distribution

Constructors

B

Fields

burglary :: Bool
earthquake :: Bool
alarm :: Bool
john :: Bool
mary :: Bool

Instances

Eq Burglary Source #

Instance details

Defined in Numeric.Probability.Example.Alarm

Methods

(==) :: Burglary -> Burglary -> Bool #

(/=) :: Burglary -> Burglary -> Bool #

Ord Burglary Source #

Instance details

Defined in Numeric.Probability.Example.Alarm

Methods

compare :: Burglary -> Burglary -> Ordering #

(<) :: Burglary -> Burglary -> Bool #

(<=) :: Burglary -> Burglary -> Bool #

(>) :: Burglary -> Burglary -> Bool #

(>=) :: Burglary -> Burglary -> Bool #

max :: Burglary -> Burglary -> Burglary #

min :: Burglary -> Burglary -> Burglary #

Show Burglary Source #

Instance details

Defined in Numeric.Probability.Example.Alarm

Methods

showsPrec :: Int -> Burglary -> ShowS #

show :: Burglary -> String #

showList :: [Burglary] -> ShowS #

bJoint :: Dist Burglary Source #

pmj :: Probability Source #

what is the probability that mary calls given that john calls?