Moving past summer hype to examine the tactical safety nets and real-world expectations for the Tigers’ incoming class.

Learning from potential disinformation introduces specific cognitive biases, causing individuals to systematically deviate from an idealized Bayesian updating strategy.

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...

Stats expert Tim Swartz uses 'spatiotemporal data' to figure out which throw-ins, corners and free kicks lead to wins ...

In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...

This article proposes a robust Bayesian approach to regression for modelling continuous, strictly positive, and asymmetric biomedical data. The methodology is based on log-symmetric distributions, ...

An R package for running Bayesian supervised and unsupervised clustering methods on survey data. baysc is an R package for running Bayesian clustering methods on survey data. A Bayesian latent class ...

Abstract: Electric Arc Furnaces (EAFs) are vital to sustainable steelmaking by enabling scrap metal recycling and reducing raw material demand. However, their high energy usage typically 400–470 kWh ...

The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The full list of updates is extensive, but the highlights matter.

Marketing Mix Modelling (MMM) has long been a cornerstone of data-driven decision-making in marketing. Traditionally, econometric MMM relied on frequentist regression techniques—linear or log-linear ...

Here's an observation from the 2025 Victoria's Secret Fashion Show that would have seemed impossible in 2005: This year's runway cast was more inclusive than the entirety of fashion month. The annual ...