imprecise-probability

A course on imprecise probabilistic machine learning

Probability bounds analysis in Julia

Credici: Credal Inference for Causal Inference

Rigorous moment propagation with partial information about moments and dependencies in Julia

Crema: Credal Models Algorithms

Conformalized Credal Set Predictors (NeurIPS 2024)

A python port of the OpenCossan Interval Predictor Model toolbox

ADAPtive QUESTtionnaire, an IDSIA tool for adaptive tests, surveys, and questionnaires.

Implementation of the algorithm described in the paper "An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data"

otaf : Open Tolerance Analysis Framework

This repository contains Prior-RObust Bayesian Optimization (PROBO) as introduced in our paper "Accounting for Gaussian Process Imprecision in Bayesian Optimization"

A Julia library for reasoning about measure-zero events in continuous probability, including density-based relevance, epsilon-neighbourhoods, Hausdorff-style measures, classical paradoxes and extreme-event risk analysis.

An R package for working with discrete p-boxes.

Hierarchical imprecise reliability assessment and failure propagation for LLM-based agentic systems: LangGraph to fault trees to Bayesian networks

Synthetic datasets generation for IGDA experiments

The role of the repository is to provide a platform to present the codes which serve as a tutorial for those who are interested in learning and implementing the proposed methods to compute with confidence for the reliability analysis of engineering systems.