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

High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching (AISTATS 2025)

Official Python implementation of the paper High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching, published at AISTATS 2025. In this paper, we introduce a ...
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 ...
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 ...
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 ...