Let Φ ={φ (x): x∈ R2} be a Gaussian random field on the plane. For $A\subset {\Bbb R}^{2}$, we investigate the relationship between the σ-field F(Φ ,A)=σ {φ ...

Graphical Markov models use graphs to represent possible dependences among statistical variables. Lauritzen, Wermuth, and Frydenberg (LWF) introduced a Markov property for chain graphs (CG): graphs ...

Advances in machine learning, including deep learning, have propelled artificial intelligence (AI) into the public conscience and forced executives to create new business plans based on data. However, ...

This course is available on the MSc in Financial Mathematics, MSc in Quantitative Methods for Risk Management, MSc in Statistics (Financial Statistics) and MSc in Statistics (Financial Statistics) ...

At its core, a Markov chain is a model for predicting the next event in a sequence based only on its state. It possesses ...

It’s not every day a high school student completes a math paper and has it published in an academic journal. However, for Santa Fe Christian senior Ryan Rodrigue that became a reality for him this ...