Pieces of code that have appeared on my blog.
- Updated
- Python
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Pieces of code that have appeared on my blog.
Empirical probability distributions in Julia
Tools to support the Discrete-Event Simulation and Monte-Carlo Simulation process for education and practice.
Statistical Data Visualization Tool
Reproducible materials for Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces (JASA, 2023+)
Empirical distribution of the randomness beacon (=RANDAO) provided by the Beacon chain.
A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
A program that simulates rolling two six-sided dice 1000 times, and prints a table of the empirical distribution.
This repository contain Ox-Gauss code to use the Monte Carlo simulation to estimate the empirical distribution of the SUR-ARDL analysis
Working on Titanic Dataset
Visualisation of empirical distributions. (R package)
Here all my machine learning notebooks will be uploaded
Computational framework for Bézier distributions: fitting to empirical data and compute convolutions.
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