Uncertainty Quantification Management System

Simulation Uncertainty Quantification Querying

The R code and datasets for the paper "Random Forest Prediction Intervals"

R codes for the example in the paper titled "A theoretical framework for state-transition cohort model in health decision analysis," https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205543

R code for the case study in the manuscript titled "Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis."

Implementation of the Polya completion algorithm for uncertainty restoration of the marginal MDP model

Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

Code and documentation from density UQ review paper.

The Rainfall Intensity Data Series can be Fitted to Eight Different PDFs and the Intensity-Duration-Frequency Curves are Computed

Travel time prediction from GPS observations using an HMM

This instruction aims to reproduce the results in the paper “Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems”(2024) to appear in Technometrics.

Code repository and Bookdown project for Online Companion to Network Science in Archaeology by Tom Brughmans and Matthew A. Peeples (Cambridge Manuals in Archaeology)

Estimating route conditional travel time and its uncertainty.

This R package allows the emulation using a mesh-clustered Gaussian process (mcGP) model for partial differential equation (PDE) systems.

MOBASY energy performance calculation

Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)

Scripts to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes

All of my R code from the Uncertainty Quantification IV module at Durham University