Results 41 to 50 of about 575,581 (334)
A Second Law for Open Markov Processes
In this paper we define the notion of an open Markov process. An open Markov process is a generalization of an ordinary Markov process in which populations are allowed to flow in and out of the system at certain boundary states.
Pollard, Blake S.
core +1 more source
Influence prediction for continuous-time information propagation on networks
We consider the problem of predicting the time evolution of influence, defined by the expected number of activated (infected) nodes, given a set of initially activated nodes on a propagation network. To address the significant computational challenges of
Shui-Nee Chow +3 more
doaj +1 more source
Markov modeling and performance analysis of infectious diseases with asymptomatic patients
After over three years of COVID-19, it has become clear that infectious diseases are difficult to eradicate, and humans remain vulnerable under their influence in a long period.
Quan-Lin Li +3 more
doaj +1 more source
Jump Markov models and transition state theory: the Quasi-Stationary Distribution approach
We are interested in the connection between a metastable continuous state space Markov process (satisfying e.g. the Langevin or overdamped Langevin equation) and a jump Markov process in a discrete state space.
Di Gesù, Giacomo +3 more
core +3 more sources
Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation
Achieving optimal agricultural yields and promoting sustainable farming relies on accurate crop recommendations. However, the applicability of many current systems is limited by their considerable computational requirements and dependence on ...
Iulia Baraian +5 more
doaj +1 more source
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
A Semi-Markov Modulated Interest Rate Model
In this paper we propose a semi-Markov modulated model of interest rates. We assume that the switching process is a semi-Markov process with finite state space E and the modulated process is a diffusive process.
D'Amico, Guglielmo +2 more
core +1 more source
Inversion, duality and Doob $h$-transforms for self-similar Markov processes [PDF]
We show that any $\mathbb{R}^d\setminus\{0\}$-valued self-similar Markov process $X$, with index $\alpha>0$ can be represented as a path transformation of some Markov additive process (MAP) $(\theta,\xi)$ in $S_{d-1}\times\mathbb{R}$. This result extends
Alili, Larbi +3 more
core +3 more sources
BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma
The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru +6 more
wiley +1 more source
Investigation of a Markov Model for Computer System Security Threats
In this work, a model for computer system security threats formulated in terms of Markov processes is investigated. In the framework of this model the functioning of the computer system is considered as a sequence of failures and recovery actions which ...
Alexey A. A. Magazev +1 more
doaj +1 more source

