kumulant

BernoulliSumResult

@Serializable
@SerialName(value = "BernoulliSumResult")
data class BernoulliSumResult(val successes: Double, val trials: Double) : Result(source)

Sufficient statistics for Beta-Binomial inference: weighted successes and weighted trials. The Beta-Binomial conjugate posterior takes alpha = successes + alpha_0, beta = trials - successes + beta_0.

Constructors

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constructor(successes: Double, trials: Double)

Properties

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Weighted count of success indicators (Sum w_i * x_i).

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Cumulative observation weight (Sum w_i).

BernoulliSumResult

constructor(successes: Double, trials: Double)(source)

successes

Weighted count of success indicators (Sum w_i * x_i).

trials

Cumulative observation weight (Sum w_i).