The Observer has compiled a list of 2025 guides, tutorials, and manuals designed to support psychological scientists as they ...

Abstract: Statistical model checking (SMC) is used as a method for examining system be havior in all possible scenarios, and it has been successfully implemented in embedded automotive systems, sensor ...

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

This book, “Statistical Modeling and Computation,” provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. The AI boom has been defined by unprecedented innovation across nearly every sector. From ...

Whether they’re gracing the catwalks of Milan, the glossy pages of Vogue, or your everyday Instagram feed, models like Gigi Hadid, Winnie Harlow, and Ulisses Jr. have turned striking poses into ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

A new technical paper titled “Modeling and Simulating Emerging Memory Technologies: A Tutorial” was published by researchers at TU Dortmund, TU Dresden, Karlsruhe Institute of Technology (KIT) and FAU ...

Welcome to Part 2 of our Blender tutorial series for absolute beginners! In this episode, we'll dive into modeling an easy strawberry from scratch. Follow along with step-by-step instructions and tips ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...