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.
This repository contain Ox-Gauss code to use the Monte Carlo simulation to estimate the empirical distribution of the SUR-ARDL analysis
Visualisation of empirical distributions. (R package)
A program that simulates rolling two six-sided dice 1000 times, and prints a table of the empirical distribution.
Here all my machine learning notebooks will be uploaded
Working on Titanic Dataset
Python package for fitting, analyzing, and convolving Bézier random variables via MSE and MLE — flexible distributions that adapt to any continuous shape.
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