Samples data points from a list based on a center point and a kernel. Parameters: - data: List of data points to sample from

Generate a list of intervals dividing a given range [low, high] into 'divisions' with a specified 'overlap'. Example: >>> In

Infers the center point in the data list that most closely matches the given data point `x` based on a kernel. Parameters: -

Check that all the input probabilities are in the interval [0, 1].

Check whether all the ``xi``s have imaginary part equal to 0. The probabilities :math:`\\xi(k) = pmf(k) = Pr(X = k)` have to be posit

Return the values of the cumulative density function. Return a list which contains all the values of the cumulative density function

Return the values of ``chi`` for the specified indices. :param idx_array: array of indices for which the ``chi`` values should be

Return the values of the variable ``xi``. The components ``xi`` make up the probability mass function, i.e. :math:`\\xi(k) = pmf(k) =