JSTOR Daily

Likelihood Inference for a Class of Latent Markov Models under Linear Hypotheses on the Transition Probabilities

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 68, No. 2 (2006), pp. 155-178 (24 pages) For a class of latent Markov models for discrete variables having a ...
JSTOR Daily

Modelling modal gating of ion channels with hierarchical Markov models

Many ion channels spontaneously switch between different levels of activity. Although this behaviour known as modal gating has been observed for a long time it is currently not well understood.
Nature

Probabilistic Model Checking and Markov Decision Processes

Probabilistic model checking and Markov decision processes (MDPs) form two interlinked branches of formal analysis for systems operating under uncertainty. These techniques offer a mathematical ...
ascopubs.org

Utilisation of Markov-Monte Carlo modelling to determine treatment strategies in advanced non-small cell lung cancer

A randomized phase II study of carboplatin/gemcitabine (CG) versus vinorelbine/gemcitabine (VG) in patients with advanced non-small cell lung cancer (NSCLC); mature ...
Insurancenewsnet.com

Data on Operations Science Described by Researchers at University of New South Wales Sydney (Modelling and Understanding Count Processes Through a Markov-modulated Non ...

2021 APR 07 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily-- Investigators publish new report on Science - Operations Science. According to news reporting out of Sydney, ...
International Monetary Fund

Labor Market Dynamics: A Hidden Markov Approach

This paper proposes a hidden state Markov model (HMM) that incorporates workers’ unobserved labor market attachment into the analysis of labor market dynamics. Unlike previous literature, which ...