Sensitivity Analysis for Understanding Complex Computational Models
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Updated
Apr 18, 2016 - R
Sensitivity Analysis for Understanding Complex Computational Models
Scripts to reproduce the paper of Pilz et al. (2017) describing the lumpR package
Regression Model Run for the processed data, along with measuring the accuracy parameters like Sensitivity, Specificity, etc. with summary sheet included.
Imperial College London Simulation Methods
💬 Talk on "Sensitivity Analysis for Inverse Probability Weighting Estimators via the Percentile Bootstrap" (Q. Zhao et al., 2017), for S. Pimentel's "Observational Study Design and Causal Inference" seminar at Berkeley, Spring 2018
OpenCossan represents the core of COSSAN software. All the algorithms and methods have been coded in a matlab toolbox allowing numerical analysis, reliability analysis, simulation, sensitivity, optimization, robust design and much more. Released under the LGPL license, the engine can be used, modified and redistributed free of charge. It is supp…
Reproducibility materials for "Cross-Screening in Observational Studies that Test Many Hypotheses" by Qingyuan Zhao, Dylan S. Small & Paul R. Rosenbaum
Applied basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home
APEXSENSUN is a package in R for performing uncertainty and sensitivity analysis for the APEX model.
This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.
Greenbox: Excel-based Monte Carlo three-point sensitivity analysis
Set of R functions designed to perform and report uncertainty propagation
Sensitivity Analysis script using Sobol method implemented in R.
A python script to run the UCODE sensitivity analysis tool
Noise analysis on POL-2 and sensitivity of JCMT/SCUBA-2 while POL-2 mounted on the telescope.
Clustering using Gaussian mixture modeling for species delimitation and classification
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