GARCH Process in Finance: Estimating Market Volatility

Learn how GARCH models financial volatility, aids in asset return analysis, and enhances risk management for stocks, bonds, ...
Investopedia

Understanding Hedonic Regression in Pricing Models

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Hedonic regression ...
Scientific Research Publishing

Modeling Turbidity Retrieval of Glacial Lakes Based on Logistic Regression—A Nonlinear Transformation Method and Its Mathematical Principles ()

Against the backdrop of accelerated glacier melting caused by global warming, dynamic monitoring of glacial lake water quality has become an important topic in environmental science. There is a ...
PNAS

Comparing variable selection and model averaging methods for logistic regression

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
IEEE

A Number Estimation Method for Dense Group Target Using Multiangle Incoherent Observations

Abstract: Accurate estimation of targets’ number is a crucial prerequisite for observing group target. Traditional methods estimate target number by resolving targets in the range/angle domain, but ...
International Monetary Fund

The Reverse Method: An Indirect VAT Compliance Gap Estimation Technique

This technical note presents the Reverse Method, a novel indirect approach for estimating the global value-added tax (VAT) compliance gap. The Reverse Method leverages public datasets and a calibrated ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
IEEE

A State of Charge Estimation Method of Lithium-Ion Batteries Using Ultrasonic Multifeature Stacking Models

Abstract: Optimizing the state of charge (SOC) estimation for lithium-ion batteries contributes to more efficient energy management and battery maintenance strategies. Ultrasound has been proven ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...