Assessment of cloud service trusted state based on fuzzy entropy and Markov chain. [PDF]
Yang M, Jiang R, Wang J, Gui B, Long L.
europepmc +1 more source
Semimartingales of Markov Chains
Kemeny, John G., Snell, J. Laurie
openaire +3 more sources
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks. [PDF]
Jawla D, Kelleher J.
europepmc +1 more source
A Novel Two‐Stage Flexible Flow Shop Batch Scheduling Model for Grinding Workshops
ABSTRACT The growing need for data storage in data centers has increased the demand for mechanical hard disks due to their low cost and high reliability. Aluminum substrates are the most popular base plates for mechanical hard disks because of their high hardness and low cost.
Jun Xu +4 more
wiley +1 more source
A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta. [PDF]
Sunusi N, Sikib AA, Pasari S.
europepmc +1 more source
Improving Affordability and Accessibility for Socially‐Beneficial Services via Government Incentives
ABSTRACT Many socially‐beneficial services, like dental care, suffer from a dual challenge: Low affordability for citizens and long waiting times due to insufficient provider capacity. We model a government's problem of designing subsidy policies to address this issue.
Xiaoyan Zhao, Venus Lo, Stephen Shum
wiley +1 more source
Absorbing Markov chain model of PrEP drug adherence to estimate adherence decay rate and probability distribution in clinical trials. [PDF]
Dale R, He H, Chen Y.
europepmc +1 more source
Information Design for Early‐Stage Dose‐Finding Trials
ABSTRACT To enhance enrollment rates in early‐stage dose‐finding clinical trials, we propose an information design approach, where the clinical investigator (CI) commits to an information releasing mechanism (IRM) based on the treatment's uncertain efficacy and toxicity to encourage patients to participate in the trial.
Amin Khademi, Ningyuan Chen
wiley +1 more source
Multistate Markov chain modeling for child undernutrition transitions in Ethiopia: a longitudinal data analysis, 2002-2016. [PDF]
Begashaw GB, Zewotir T, Fenta HM.
europepmc +1 more source

