GitHub

Inverse Gaussian distribution is not returning correct pdf

Notes ----- The probability density function for `invgauss` is:: invgauss.pdf(x, mu) = 1 / sqrt(2*pi*x**3) * exp(-(x-mu)**2/(2*x*mu**2)) for ``x > 0``. `invgauss ...
Scientific Research Publishing

Generation of Non-Gaussian Wide-Sense Stationary Random Processes with Desired PSDs and PDFs ()

This paper describes a new method to generate discrete signals with arbitrary power spectral density (PSD) and first order probability density function (PDF) without any limitation on PDFs and PSDs.
IEEE

Bimodal Gaussian PDF of the Dominant IMFs of EEG Signals for Seizure Activity Classification

Abstract: In this paper, time-frequency domain operation exploiting Empirical Mode Decomposition (EMD) is performed on EEG signals to classify normal activity of healthy person, non-seizure ...
Scientific Research Publishing

Generation of Non-Gaussian Wide-Sense Stationary Random Processes with Desired PSDs and PDFs

This paper describes a new method to generate discrete signals with arbitrary power spectral density (PSD) and first order probability density function (PDF) without any limitation on PDFs and PSDs.
IEEE

Gaussian Pdf Divisions in Expectation Propagation

Abstract: Expectation Propagation (EP) is a popular Message Passing algorithm. In contrast to Belief Propagation (BP), it projects beliefs to the exponential family at every update. The update for a ...
GitHub

An Intuitive Tutorial to Gaussian Processes Regression

@misc{wang2020intuitive, title={An Intuitive Tutorial to Gaussian Processes Regression}, author={Jie Wang}, year={2020}, eprint={2009.10862}, archivePrefix={arXiv}, primaryClass={stat.ML} } This ...
Visual Studio Magazine

Gaussian Mixture Model Data Clustering from Scratch Using C#

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.