Data Analysis with Bootstrap Estimation in R

Random vectors: marginal and conditional distributions. Normal, t-distribution, Chi-square and F-distribution... AND A LOT MORE.

Repository for the OpenMx Structural Equation Modeling package

Statistical inference of vine copulas

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

Targeted inference (R package) https://kkholst.github.io/targeted/

Bias reduction in quasi likelihood estimation

Resource Selection (Probability) Functions for Use-Availability Data in R

Framework for estimating parameters and the empirical sandwich covariance matrix from a set of unbiased estimating equations (i.e. M-estimation) in R.

An R package for maximum likelihood estimation of univariate densities.

📈 📉 📈 📈 📉 Multisignal GMWM estimation and model selection for IMU

The repo is presented for estimation of the price bonds using vasicek algorithm using R.

Estimation Approach to Statistical Inference [R Package]

Hierarchical Bayesian Models to assess Learning and Guessing Strategies in Reinforcement Learning

Complexity of Infection Estimation with Allele Frequencies

An example of using Bayesian linear regression to perform estimation for the duration of software projects.

Correspondence to Lancet regarding the article by Santos-Burgoa and colleagues (2018)

R package for nonstationary spatial modeling with covariate-based covariance functions

Estimation in Stochastic Differential Equations