The standard pipeline of definiting a simulation method, estimating parameters from datasets, simulating and evaluating datasets.
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Updated
Jun 13, 2024 - R
The standard pipeline of definiting a simulation method, estimating parameters from datasets, simulating and evaluating datasets.
Practise assignments to learn Econometrics with R.
Repository for the OpenMx Structural Equation Modeling package
Resource Selection (Probability) Functions for Use-Availability Data in R
Distribution Parameter Estimation
Framework for estimating parameters and the empirical sandwich covariance matrix from a set of unbiased estimating equations (i.e. M-estimation) in R.
Estimation Approach to Statistical Inference [R Package]
Data Analysis with Bootstrap Estimation in R
Targeted inference (R package) https://kkholst.github.io/targeted/
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Point estimates, confidence intervals and p-values for adaptive two-stage designs with planned adaptivity.
An R package for maximum likelihood estimation of univariate densities.
R package that simulates and estimates the hystar model
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
TLS processing pipeline creates for an ongoing microclimate investigation by the EDYSAN lab.
Efficient method to compute orthant probabilities of high-dimensional Gaussian vectors. The method is applied to compute conservative estimates of excursion sets of functions under Gaussian random field priors.
Undergraduate Final Project on behalf of Radisha Fanni Sianti
Ce repository est dédié à l'application de l'approche de Box-Jenkins pour l'identification, l'estimation et le diagnostic des modèles ARIMA.
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