LinkedIn

Introduction to exponential Smoothing for Time Series Forecasting using Python

In this article, I will discuss about the exponential smoothing method for univariate time series forecasting. Exponential Smoothing is a time series forecasting method for univariate data, that can ...
GitHub

This Python class addresses Switched Linear Systems optimization exploiting matrix exponential computation and optimizing over controls and switching instants at the same time.

Alternatively, you can create your own virtualenv or conda env and run this package inside it. Remember to install all the required Python packages. The class provides methods to instantiate and solve ...
GitHub

Exponential Backoff with Collision Avoidance

This module defines a Python iterator implementing exponential backoff with collision avoidance. See https://en.wikipedia.org/wiki/Exponential_backoff#Collision ...
IEEE

PyMEF — A framework for exponential families in Python

Abstract: Modeling data is often a critical step in many challenging applications in computer vision, bioinformatics or machine learning. Gaussian Mixture Models are a popular choice in many ...
Analytics India Magazine

Hands-On Guide to Time Series Analysis using Simple Exponential Smoothing in Python

Time series analysis involves studying datasets over time to identify patterns for predicting future values. Common applications of time series include stock prices, machinery depreciation, and ...
Nature

The development and implementation of odd-exponential-ailamujia distribution in python: properties and application in reliability engineering

This study introduces the Odd-Exponential-Ailamujia (OEA) distribution, a novel extension of the Ailamujia distribution via the T-X family, offering enhanced flexibility for modeling complex lifetime ...