Tools to support the Discrete-Event Simulation and Monte-Carlo Simulation process for education and practice.
An open-source JAX-based statistical sampling toolkit 🧪
JAX-based copula modelling
Package provides python implementation of statistical inference engine
Use bootstrap resampling to estimate the sampling distribution of a statistic
Demonstrate techniques that help quantum applications find better, more robust solutions by comparing two generations of D-Wave 2000Q QPUs.
A simple utility to perform sampling from multivariate distributions (supported by a PyTorch backend)
Python script for stratified random sampling of point layers in QGIS.
A practical framework for mapping color, sentiment, and geometry into computational form
A Python implementation of a realisation-dependent Bayesian stopping rule for representative sampling from empirical datasets.
Repository for IGARSS 2025 communication
17. Sampling distribution / CLT — raspodela uzorka, stabilnost frekvencija. Sampling Distribution - sampling distribution of mean, bootstrap n=len replace=True, CI 2.5/97.5, Q-Q. Central Limit Theorem (CLT) - repeated sample means → normal, t/SEM CI small vs large, bootstrap stability.
working with a sampling distribution
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