A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...

Python implementation of a toolkit for researchers studying electoral polarization. Features ideological and affective polarization analysis, issue salience modeling, and comprehensive statistical ...

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The application presented here utilizes the R Shiny platform to ...

Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia This study introduces a five-parameter continuous probability model named the Beta-Exponential-Gaussian distribution by ...

dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...

Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia 23529, United States Department of Physical and Macromolecular Chemistry, Charles University, Hlavova 2030, 128 40 ...

Crest factor, also known as peak-to-average power ratio (PAPR), is a numerical value that indicates the ratio of a signal's highest power level to its average power level. Understanding signal ...

You know what’s really awesome? Watching founders pitch on the TechCrunch Disrupt stage as part of Startup Battlefield 200. The pitches are world class, and the founders do such a good job, even as ...

Cumulative probability is an essential concept in the world of statistics and probability theory. It refers to the likelihood that a random variable will take a value equal to or less than a specific ...