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  2. Distribution of the product of two random variables - Wikipedia

    en.wikipedia.org/wiki/Distribution_of_the...

    A product distribution is a probability distribution constructed as the distribution of the product of random variables having two other known distributions. Given two statistically independent random variables X and Y, the distribution of the random variable Z that is formed as the product = is a product distribution.

  3. Generalized normal distribution - Wikipedia

    en.wikipedia.org/wiki/Generalized_normal...

    The generalized normal distribution (GND) or generalized Gaussian distribution (GGD) is either of two families of parametric continuous probability distributions on the real line. Both families add a shape parameter to the normal distribution. To distinguish the two families, they are referred to below as "symmetric" and "asymmetric"; however ...

  4. ELKI - Wikipedia

    en.wikipedia.org/wiki/ELKI

    scikit-learn: machine learning library in Python; Weka: A similar project by the University of Waikato, with a focus on classification algorithms; RapidMiner: An application available commercially (a restricted version is available as open source) KNIME: An open source platform which integrates various components for machine learning and data ...

  5. Spyder (software) - Wikipedia

    en.wikipedia.org/wiki/Spyder_(software)

    Spyder is extensible with first-party and third-party plugins, [8] and includes support for interactive tools for data inspection and embeds Python-specific code quality assurance and introspection instruments, such as Pyflakes, Pylint [9] and Rope. [10] [11] Spyder uses Qt for its GUI and is designed to use either of the PyQt or PySide Python ...

  6. Exponentially modified Gaussian distribution - Wikipedia

    en.wikipedia.org/wiki/Exponentially_modified...

    In probability theory, an exponentially modified Gaussian distribution (EMG, also known as exGaussian distribution) describes the sum of independent normal and exponential random variables. An exGaussian random variable Z may be expressed as Z = X + Y , where X and Y are independent, X is Gaussian with mean μ and variance σ 2 , and Y is ...

  7. Comparison of Gaussian process software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_Gaussian...

    Gaussian No No MAP No No No DACE; GpGp: MIT: R: No No Sparse ND No Gaussian i.i.d. Manually Manually No No No GpGp; SuperGauss: GNU GPL: R, C++: No Toeplitz [c] No 1D No Gaussian No Manually Manually No No No SuperGauss; STK: GNU GPL: MATLAB: Yes No No ND No Gaussian Uncorrelated Manually Manually No No Manually STK; GSTools: GNU LGPL: Python ...

  8. Sublime Text - Wikipedia

    en.wikipedia.org/wiki/Sublime_Text

    Sublime Text is a text and source code editor featuring a minimal interface, syntax highlighting and code folding with native support for numerous programming and markup languages, search and replace with support for regular expressions, an integrated terminal/console window, and customizable themes.

  9. Wrapped normal distribution - Wikipedia

    en.wikipedia.org/wiki/Wrapped_normal_distribution

    The probability density function of the wrapped normal distribution is [2] (;,) = = ⁡ [(+)],where μ and σ are the mean and standard deviation of the unwrapped distribution, respectively.