Estimate standard deviation of estimates in complex surveys using bootstrap weights.
-
Updated
Oct 28, 2024 - R
Estimate standard deviation of estimates in complex surveys using bootstrap weights.
Goal Oriented Adaptive Lagrangian Mechanics
This repository contains Python code to solve second-order partial differential equations in nonvariational form using FEniCS
[AISTATS 2023] Error Estimation for Random Fourier Features
A header-only C++ testing framework designed for testing scientific software.
Validation methods for the GeoStats.jl framework
🔢 Laboratory #8 for Number Methods. Integral calculation using Rectangle, Trapezoid and Simpson methods. Theoretical error estimation.
My fork of NEMoSys, a platform for adaptive mesh refinement and solution verification.
Accelerating goal-oriented error estimation using neural networks
Estimate propagation error tolerances for systems of equations.
Numerical simulations are used in a variety of computational problems. The error of the simulation is often of interest here. However, the error is usually not known and must be calculated using expensive methods such as adjoint error equations. We investigate the use of multiple Convulational Neural Networks (CNNs) architectures as efficient an…
Bootstrap method to estimate error like standard error or confident interval
Repository containing python notebooks used to teach the lab classes of the curricular unit "Numerical Methods (M2039)" at FCUP, Portugal, in study year 2023/2024
Sample scripts for signal analysis and error evaluation
Error Estimation of Four main Approximation Equations with Mathematica
Add a description, image, and links to the error-estimation topic page so that developers can more easily learn about it.
To associate your repository with the error-estimation topic, visit your repo's landing page and select "manage topics."