Kernels

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. final def getClass(): Class[_]

   

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10. def hashCode(): Int

    

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11. final def isInstanceOf[T0]: Boolean

    

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12. def metropolis[T](proposal: (T) ⇒ Rand[T])(logMeasure: (T) ⇒ Double)(implicit rand: RandBasis = Rand): (T) ⇒ Rand[T]

    

    Note this is not Metropolis-Hastings

    Note this is not Metropolis-Hastings

    proposal

    the symmetric proposal distribution generator

    logMeasure

    the distribution we want to sample from

13. def metropolisHastings[T](proposal: (T) ⇒ Density[T] with Rand[T])(logMeasure: (T) ⇒ Double)(implicit rand: RandBasis = Rand): (T) ⇒ Rand[T]

    
    proposal

    the proposal distribution generator

    logMeasure

    the distribution we want to sample from

14. final def ne(arg0: AnyRef): Boolean

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. def slice(logMeasure: (Double) ⇒ Double, valid: (Double) ⇒ Boolean)(implicit rand: RandBasis = Rand): (Double) ⇒ Rand[Double]

    

    Creates a slice sampler for a function.

    Creates a slice sampler for a function. logMeasure should be an (unnormalized) log pdf.

    logMeasure

    an unnormalized probability measure

    returns

    a slice sampler

18. final def synchronized[T0](arg0: ⇒ T0): T0

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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21. final def wait(arg0: Long, arg1: Int): Unit

    

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22. final def wait(arg0: Long): Unit

    

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