PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.

Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics

Package provides the javascript implementation of various statistics and distribution

My Python learning experience 📚🖥📳📴💻🖱✏

Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors

Examples of using the test statistics to test hypotheses

Examples of generating random variables from the basic probability distributions

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

Reproducible code for the paper “A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers"

A comparative study between 5 different binary classification techniques.

Reverse lookup for z test

Simulation and estimation of ARCH and GARCH processes, used to model the time-varying standard deviation (volatility) of asset returns, with conditional distributions such as the normal, Laplace, and Student t.

Fit a Student t distribution to univariate data via maximum likelihood

My notes on statistics

Background for Hypothesis testing / Bayesian Inference with code examples

Aplikasi Shiny untuk mendemonstrasikan kebutuhan akan distribusi t

Aplikasi Shiny untuk membandingkan ketegaran dan kuasa uji t (klasik) dan uji Welch terhadap dua sampel.

multivariate_student_t_distribution_table_generator

Topics covered in Probability distribution with python codes

Continuation to Data Analysis using more mathematical approach.