object Stochastic extends AllDistributions
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
beta(a: Double, b: Double): Stochastic[Double]
- Definition Classes
- ContinuousDistributions
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def
choose[A](distribution: Dist[A])(implicit ev: (DenseVector[Double]) ⇒ QuasiTensor[Int, Double], sumImpl: breeze.linalg.sum.Impl[DenseVector[Double], Double]): Stochastic[A]
- Definition Classes
- DiscreteDistributions
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def
clone(): AnyRef
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def
coin: Stochastic[Boolean]
- Definition Classes
- DiscreteDistributions
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def
coin(p: Prob = 0.5): Stochastic[Boolean]
- Definition Classes
- DiscreteDistributions
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def
continuousUniform(a: Double, b: Double): Stochastic[Double]
- Definition Classes
- ContinuousDistributions
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def
continuousUniform: Stochastic[Double]
- Definition Classes
- ContinuousDistributions
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def
discreteUniform(n: Int): Stochastic[Int]
- Definition Classes
- DiscreteDistributions
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def
discreteUniform[A](values: Seq[A]): Stochastic[A]
- Definition Classes
- DiscreteDistributions
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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def
fromMass(mass: Iterable[Prob]): Stochastic[Int]
- Definition Classes
- DiscreteDistributions
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def
gaussian(mean: Double, std: Double): Stochastic[Double]
- Definition Classes
- ContinuousDistributions
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def
gaussian: Stochastic[Double]
- Definition Classes
- ContinuousDistributions
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
maxEntropy[A](init: Stochastic[A], inverseTemp: Double, burnIn: Int = defaultSampleBurnIn, interval: Int = defaultSampleInterval)(costFunc: (A) ⇒ Double)(symmetricTransitionFunction: (A) ⇒ Stochastic[A]): Stochastic[A]
- Definition Classes
- MetropolisDistributions
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def
metropolis[A](init: Stochastic[A], burnIn: Int = defaultSampleBurnIn, interval: Int = defaultSampleInterval)(logUnnormalizedProbabilityOf: (A) ⇒ Double)(symmetricTransitionFunction: (A) ⇒ Stochastic[A]): Stochastic[A]
- Definition Classes
- MetropolisDistributions
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def
metropolisHastings[A](init: Stochastic[A], burnIn: Int = defaultSampleBurnIn, interval: Int = defaultSampleInterval)(logUnnormalizedProbabilityOf: (A) ⇒ Double)(logTransitionFunction: (A) ⇒ Stochastic[(A, Double, Double)]): Stochastic[A]
- Definition Classes
- MetropolisDistributions
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
- Definition Classes
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final
def
notifyAll(): Unit
- Definition Classes
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def
posterior[A, O](prior: Stochastic[A], observations: Seq[O], burnIn: Int = defaultSampleBurnIn, interval: Int = defaultSampleInterval)(likelihood: (A, O) ⇒ Prob): Stochastic[A]
- Definition Classes
- PosteriorDistributions
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def
posteriorByLog[A, O](prior: Stochastic[A], observations: Seq[O], burnIn: Int = defaultSampleBurnIn, interval: Int = defaultSampleInterval)(logLikelihood: (A, O) ⇒ Double): Stochastic[A]
- Definition Classes
- PosteriorDistributions
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val
randomGenerator: RandomGenerator
- Definition Classes
- AllDistributions → Distributions
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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