Kernels

Value Members

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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

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9. def equals(arg0: Any): Boolean

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10. def finalize(): Unit

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

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12. def hashCode(): Int

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13. final def isInstanceOf[T0]: Boolean

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14. 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

15. def metropolisHastings[T](proposal: (T) ⇒ Measure[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

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

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17. final def notify(): Unit

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18. final def notifyAll(): Unit

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19. 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

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

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21. def toString(): String

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22. final def wait(): Unit

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

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

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