Class

io.github.mandar2812.dynaml.probability.mcmc

HamiltonianMetropolis

Related Doc: package mcmc

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abstract class HamiltonianMetropolis[T] extends GeneralMetropolisHastings[T]

Linear Supertypes
GeneralMetropolisHastings[T], Product, Equals, BaseMetropolisHastings[T], TracksStatistics, Process[T], MetropolisHastings[T], Rand[T], Serializable, Serializable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. HamiltonianMetropolis
  2. GeneralMetropolisHastings
  3. Product
  4. Equals
  5. BaseMetropolisHastings
  6. TracksStatistics
  7. Process
  8. MetropolisHastings
  9. Rand
  10. Serializable
  11. Serializable
  12. AnyRef
  13. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new HamiltonianMetropolis(logLikelihoodF: DifferentiableLikelihoodModel[T], proposalDistr: ContinuousDistr[T], init: T, burnIn: Long = 0)(implicit rand: RandBasis = Rand, f: Field[T])

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def aboveOneCount: Long

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    Definition Classes
    BaseMetropolisHastings → TracksStatistics

  5. def aboveOneFrac: Double

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    Definition Classes
    TracksStatistics

  6. def acceptanceCount: Long

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    Definition Classes
    BaseMetropolisHastings → TracksStatistics

  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  8. val burnIn: Long

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    Definition Classes
    GeneralMetropolisHastings

  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  10. def condition(p: (T) ⇒ Boolean): Rand[T]

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    Definition Classes
    Rand

  11. def draw(): T

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    Definition Classes
    BaseMetropolisHastings → Rand

  12. def drawOpt(): Option[T]

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    Definition Classes
    Rand

  13. val dropCount: Int

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    Definition Classes
    GeneralMetropolisHastings

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

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    Definition Classes
    AnyRef

  15. def filter(p: (T) ⇒ Boolean): Rand[T]

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    Definition Classes
    Rand

  16. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  17. def flatMap[E](f: (T) ⇒ Rand[E]): Rand[E]

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    Definition Classes
    Rand

  18. def foreach(f: (T) ⇒ Unit): Unit

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    Definition Classes
    Rand

  19. def get(): T

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    Definition Classes
    Rand

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

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    Definition Classes
    AnyRef → Any

  21. val init: T

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    Definition Classes
    GeneralMetropolisHastings

  22. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  23. def likelihood(x: T): Double

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    Definition Classes
    MetropolisHastings

  24. def likelihoodRatio(start: T, end: T): Double

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    Definition Classes
    MetropolisHastings

  25. def logLikelihood(x: T): Double

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    Definition Classes
    BaseMetropolisHastings → MetropolisHastings

  26. val logLikelihoodF: LikelihoodModel[T]

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    Definition Classes
    GeneralMetropolisHastings

  27. def logLikelihoodRatio(start: T, end: T): Double

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    Definition Classes
    MetropolisHastings

  28. def logTransitionProbability(start: T, end: T): Double

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    Definition Classes
    HamiltonianMetropolis → GeneralMetropolisHastings → MetropolisHastings

  29. def map[E](f: (T) ⇒ E): Rand[E]

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    Definition Classes
    Rand

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

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    Definition Classes
    AnyRef

  31. def nextDouble: Double

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    Attributes
    protected
    Definition Classes
    MetropolisHastings

  32. final def notify(): Unit

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    Definition Classes
    AnyRef

  33. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  34. def observe(x: T): GeneralMetropolisHastings[T]

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    Definition Classes
    HamiltonianMetropolis → GeneralMetropolisHastings → Process

  35. val proposal: ContinuousDistr[T]

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    Definition Classes
    HamiltonianMetropolis → GeneralMetropolisHastings

  36. def proposalDraw(x: T): T

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    Definition Classes
    HamiltonianMetropolis → GeneralMetropolisHastings → MetropolisHastings

  37. val proposalStep: ContinuousDistr[T]

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    Definition Classes
    GeneralMetropolisHastings

  38. implicit val rand: RandBasis

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    Definition Classes
    BaseMetropolisHastings → MetropolisHastings

  39. def rejectionCount: Long

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    Definition Classes
    TracksStatistics

  40. def rejectionFrac: Double

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    Definition Classes
    TracksStatistics

  41. def sample(n: Int): IndexedSeq[T]

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    Definition Classes
    Rand

  42. def sample(): T

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    Definition Classes
    Rand

  43. def samples: Iterator[T]

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    Definition Classes
    Rand

  44. def samplesVector[U >: T](size: Int)(implicit m: ClassTag[U]): DenseVector[U]

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    Definition Classes
    Rand

  45. def step(): (T, Process[T])

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    Definition Classes
    Process

  46. def steps: Iterator[T]

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    Definition Classes
    Process

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

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    Definition Classes
    AnyRef

  48. def total: Long

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    Definition Classes
    BaseMetropolisHastings → TracksStatistics

  49. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  52. def withFilter(p: (T) ⇒ Boolean): Rand[T]

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    Definition Classes
    Rand

Inherited from GeneralMetropolisHastings[T]

Inherited from Product

Inherited from Equals

Inherited from BaseMetropolisHastings[T]

Inherited from TracksStatistics

Inherited from Process[T]

Inherited from MetropolisHastings[T]

Inherited from Rand[T]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped