A repository to explore the concepts of applied econometrics in the context of financial time-series.

Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up to date with the current version for now.

Rotation-Based Iterative Gaussianization algorithm.

:chart_with_upwards_trend: high level wrapper for parallel univariate time series forecasting :chart_with_downwards_trend:

Multivariate clustering of weather data. This is part of my research internship.

No description provided.

R/Bioconductor package - STRUCT (STatistics in R Using Class Templates) Toolbox: An extensive set of data (pre-)processing and analysis methods and tools for metabolomics and other omics,

Source code for the module "Advanced Statistics" 📊

⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

ASURV: Astronomy SURVival analysis

Feature selection comparison in breath cancer dataset

fundamental machine learning algorithms (supervised, unsupervised, reinforcement) 🚀

Investigation of the capabilities of foundations models in the context of time series forecasting

Poisson distribution.

R/Bioconductor package - STRUCT: STatistics in R Using Class Templates

Student's t distribution cumulative distribution function (CDF).

Normal distribution cumulative distribution function (CDF).

In this repo, different techniques will be done to analyze Anomaly detection

Poisson distribution cumulative distribution function (CDF).

Lévy distribution probability density function (PDF).

Beta distribution.

Analysis about univariate and bivariate MLE between the diagnosis group of 'Alzheimer's Disease', 'Mild Cognitive Impariment', and 'Cognitive Normal'.

Gamma distribution expected value.

Fast streaming univariate and bivariate moments and t-statistics

Multi Resolution Forecasting

NW.UnivariateForecasting is a library to perform Univariate Forecasting on your own values. Time Series Forecasting is a machine learning technique that aims to predict the next values in a time series when a subset of subsequent values is provided ("sliding window").

Laplace distribution variance.

Lognormal distribution.

Gamma distribution differential entropy.

Inverse gamma distribution mode.