Scientific Research Publishing

A Closed Form Probability Mass Function for Occupation Times in a Three-State Markov Chain ()

We obtain a closed form expression for the joint probability mass function of the occupation times for a Three-State Markov chain. Our representation extends the long-standing result for a Two-State ...
Frontiers

Predicted lean body mass in relation to cognitive function in the older adults

1 Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China 2 Beijing Tongren Hospital, Capital Medical University, Beijing, China Background: Previous findings ...
leewayhertz

Bayesian networks in AI: Role in machine learning, example, types and applications

Imagine a scenario where a team of doctors faces a perplexing medical puzzle. A patient shows a range of symptoms, each pointing to multiple possible diseases. How can they navigate this diagnostic ...
IEEE

Various Performance Bounds on the Estimation of Low-Rank Probability Mass Function Tensors from Partial Observations

Abstract: Probability mass function (PMF) estimation using a low-rank model for the PMF tensor has gained increased popularity in recent years. However, its performance evaluation relied mostly on ...
SciELO

RECOVERING PROBABILITY FUNCTIONS WITH FOURIER SERIES

The COS method was introduced in Fang & Oosterlee (2008) and then was applied to pricing a variety of stock options for continuous random variables. This paper adapts the Fourier-cosine series (COS) ...