Statistics tools and utilities.
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Updated
Jul 2, 2024 - Python
Statistics tools and utilities.
pure-Python HistFactory implementation with tensors and autodiff
Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.
Welcome to my portfolio—a showcase where data, design, and strategy unite to tell compelling stories through statistics.
A repository for the various functions and programs I've made in the area's of: Data Science, Analytics, Machine Learning & Statistics.
MCMC sample analysis, kernel densities, plotting, and GUI
[TNNLS 2022] Significance tests of feature relevance for a black-box learner
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Statistics functions for python
Use bootstrap resampling to estimate the sampling distribution of a statistic
Statistical inference on machine learning or general non-parametric models
Code implementing Integrator Snippets, joint work with Christophe Andrieu and Chang Zhang
Statistical Digital Signal Processing and Modeling
ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable
scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python
Python code to statistically validate networks in bipartite complex systems
Generalized Additive Models in Python.
Fit an ellipse to 2D data
Bayesian inference of stochastic cellular processes with and without memory in Python.
Ambrosia is a Python library for A/B tests design, split and result measurement
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