Markov systems provide a probabilistic framework for modelling the evolution of a population of individuals or entities through a set of discrete states, underpinned by transition probabilities that ...

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

A 30-minute talk about Markov modeling generally, with specific reference to the seminal 1986 contribution of Professor Eaves, which described Markov processes for genetic and environmental variance ...

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 ...