Abstract: We present a unified biostatistical and Bayesian physiological modeling framework for assembling optimal triathlon relay teams using historical results. The performance of athletes and ...

There are several species of weeds known worldwide. Among them, the Amaranthus genus stands out. This genus belongs to the family Amaranthaceae and is widely distributed in Brazil. These plants ...

In this Python Physics lesson, we explore modeling current as a function of time in RC circuits. Learn how to simulate the charging and discharging behavior of resistors and capacitors using Python, ...

Abstract: The article introduces multidimensional Bayesian networks (MBNs), an advanced extension of traditional Bayesian networks (BNs) and object-oriented BNs (OOBNs). OOBNs effectively modularize ...

Dive into the world of physics simulations with this AstroBlaster collision modeling tutorial using Python! 🚀💥 In this video, we break down how to simulate space collisions, from basic physics ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Version of Record: This is the final version of the article. This work proposes a new approach to analyse cell-count data from multiple brain regions. Collecting such data can be expensive and ...

Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Singapore: Springer. URL: https://link.springer.com/book/10.1007/978-981-19-4755-1 ...

ABSTRACT: Special education services are designed to provide tailored support for students with diverse learning needs, with the expectation of improving academic achievement. This study examines the ...