BMBCResult

class BMBCResult(X, Y, resultSample)

Store result of the Batch Mean Batch Correlation (BMBC) algorithm.

Parameters:

XSample

Original positions of shape (n_samples, n_dims).

YSample

Original measurements of shape (n_samples, 1).

resultSampleSample

Sample containing iteration history with columns: [“iteration”, “M”, “S0”, “S1”, “S1/S0”].

Attributes:

XSample

Original positions.

YSample

Original measurements.

resultSampleSample

Iteration history (last row = final result).

Methods

computeMeanEstimatorVariance()	Compute variance of mean estimator.
getBatchIteration()	Accessor to result sample.
getBlockBoostrapSample()	Get a block bootstrap sample from the initial provided sample.

__init__(X, Y, resultSample)

computeMeanEstimatorVariance()

Compute variance of mean estimator.

Returns:

sigma2_mufloat

Estimated variance of the mean.

getBatchIteration()

Accessor to result sample.

Returns:

resultSampleSample

Sample with values of S0, S1 for various batch sizes.

getBlockBoostrapSample()

Get a block bootstrap sample from the initial provided sample.

Returns:

YbSample

Bootstrap sample constructed by resampling blocks of size M.