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 ...
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 ...
JSTOR Daily

Discrete Time, Discrete State Latent Markov Modelling for Assessing and Predicting Household Acquisitions of Financial Products

The paper demonstrates application of the latent Markov model for assessing developments by individuals through stages of a process. This approach is applied by using a database on ownership of 12 ...
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, ...
eLife

Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes

A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.
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 ...