We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...

Thanksgiving Week is here, and the Green Bay Packers got a big win over the Minnesota Vikings last week to improve their playoff chances heading into Week 13. But as the Week 13 clash with the Lions ...

The Kansas City Chiefs find themselves in unfamiliar territory. The team has made five of the last six Super Bowls, regularly sitting atop the AFC standings during that time. This year, though, they ...

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 ...

Bijan Robinson and the Falcons' win Monday night puts them squarely in the playoff hunt in the NFC. Todd Kirkland / Getty Images The NFC is wide open. Granted, it’s still early, but it looks like a ...

Tesla faces competition from cheaper European, Chinese EVs More than 25 new electric models to launch in Europe next year Tesla trying to reverse steep market-share losses in Europe Oct 8 (Reuters) - ...

The Fisher–Kolmogorov–Petrovsky–Piskunov equation is a diffusive logistic model for the population density of an invasive species. This paper presents a one-level numerical simulation of the ...

Abstract: Faults in induction motors will reduce the operational efficiency and stability of mechanical systems. In recent years, artificial intelligence (AI) models have become an important ...

Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of ...

(a) Disease progression can be classified into three states: the normal stage, pre-disease stage and disease stage, with the pre-disease stage representing a critical threshold just before the onset ...

ABSTRACT: Managing inventory for products that deteriorate over time is a significant challenge for retailers. This model assumes that items follow a two-parameter Weibull distribution to represent ...

From deadly floods in Europe to intensifying tropical cyclones around the world, the climate crisis has made timely and precise forecasting more essential than ever. Yet traditional forecasting ...