A repository to explore the concepts of applied econometrics in the context of financial time-series.
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Updated
Feb 10, 2020 - Jupyter Notebook
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.
📈 high level wrapper for parallel univariate time series forecasting 📉
Rotation-Based Iterative Gaussianization algorithm.
Multivariate clustering of weather data. This is part of my research internship.
R/Bioconductor package - STRUCT (STatistics in R Using Class Templates) Toolbox
⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)
Source code for the module "Advanced Statistics" 📊
Investigation of the capabilities of foundations models in the context of time series forecasting
Student's t distribution cumulative distribution function (CDF).
R/Bioconductor package - STRUCT: STatistics in R Using Class Templates
ASURV: Astronomy SURVival analysis
Feature selection comparison in breath cancer dataset
Poisson distribution cumulative distribution function (CDF).
In this repo, different techniques will be done to analyze Anomaly detection
Lévy distribution probability density function (PDF).
Analysis about univariate and bivariate MLE between the diagnosis group of 'Alzheimer's Disease', 'Mild Cognitive Impariment', and 'Cognitive Normal'.
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").
Gamma distribution expected value.
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