pdf1d_builder | Base for classes to build pdf1d_pdf objects |
pdf1d_compare_to_pdf | Base for classes with test whether data could come from a given pdf |
pdf1d_compare_to_pdf_bhat | Test if data from a given distribution using Bhattacharyya overlap |
pdf1d_compare_to_pdf_ks | |
pdf1d_epanech_kernel_pdf | Univariate Epanechnikov kernel PDF $k(x)=0.75(1-0.2x^2)/ {5}$ |
pdf1d_epanech_kernel_pdf_builder | Build Epanechnikov kernel pdf objects |
pdf1d_epanech_kernel_pdf_sampler | Generates random samples from an Epanechnikov kernel estimate |
pdf1d_exponential | Class for exponential distributions |
pdf1d_exponential_builder | Class to build pdf1d_exponential objects |
pdf1d_exponential_sampler | Samples from Univariate exponential distributions |
pdf1d_flat | Class for univariate flat distributions: p(x)=1/(hi-lo) in [lo,hi] |
pdf1d_flat_builder | Class to build pdf1d_flat objects. Sets to non-zero over range of data |
pdf1d_flat_sampler | Samples from Univariate flat distributions |
pdf1d_gaussian | Class for univariate gaussian |
pdf1d_gaussian_builder | Class to build pdf1d_gaussian objects |
pdf1d_gaussian_kernel_pdf | Class for univariate gaussian kernel based PDF |
pdf1d_gaussian_kernel_pdf_builder | Build gaussian kernel pdf objects |
pdf1d_gaussian_kernel_pdf_sampler | Generates random samples from a gaussian kernel estimate |
pdf1d_gaussian_sampler | Samples from Univariate Gaussian |
pdf1d_kernel_pdf | Class for univariate kernel based PDFs |
pdf1d_kernel_pdf_builder | Build kernel pdf objects |
pdf1d_mixture | Represents a mixture model (a set of individual pdfs + weights) |
pdf1d_mixture_builder | Uses the EM algorithm to build pdf1d_mixture objects |
pdf1d_mixture_sampler | Instance class for pdf1d_mixture |
pdf1d_pdf | Base class for Univariate Probability Density Function classes |
pdf1d_sampler | Base class for Univariate Random Sampler classes |
pdf1d_weighted_epanech_kernel_pdf | Univariate Epanechnikov kernel PDF $k(x)=0.75(1-0.2x^2)/{2}$ |
pdf1d_weighted_epanech_kernel_sampler | Generates random samples from an Epanechnikov kernel estimate |
pdf1d_weighted_kernel_pdf | Class for univariate kernel based PDFs |