A Bayesian take on fitting power law (and alternatives) to data
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Updated
Jan 14, 2019 - Jupyter Notebook
A Bayesian take on fitting power law (and alternatives) to data
The entropy module can be found here: https://github.com/nikdon/pyEntropy/blob/master/pyentrp/entropy.py
Fit powerlaw distributions with a maximum-likelihood fitting procedure
DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting
Code behind the FlightRank website and the data mining that went into it
This is a sample implementation of "Power-law Distribution Aware Trust Prediction", IJCAI 2018.
This project evolves around the concept of networks, centralities, and community detection, and infection simulation.
Simulation of Rayleigh Benard Convection of a powerlaw fluid in rectangular and cylindrical cavities using rheoTool
The project for the course "Web Information Retrieval"
R package for convolution of Pareto distributions
Python wrapper for the Powerlaw Collision Avoidance model
Curve fitting routines for astrophysical (SDSS) spectrographs
This repository contains FDP'18 presentations and R scripts.
Prediction with Pretrained autoencoders
analyzing power-laws fits of financial time series data
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