scholarly journals Extreme paths in oriented two-dimensional percolation

2016 ◽  
Vol 53 (2) ◽  
pp. 369-380 ◽  
Author(s):  
E. D. Andjel ◽  
L. F. Gray
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
Contact Process ◽  
Bond Percolation ◽  
Two Dimensional ◽  
Site Percolation ◽  
Correlation Inequality

Abstract A useful result about leftmost and rightmost paths in two-dimensional bond percolation is proved. This result was introduced without proof in Gray (1991) in the context of the contact process in continuous time. As discussed here, it also holds for several related models, including the discrete-time contact process and two-dimensional site percolation. Among the consequences are a natural monotonicity in the probability of percolation between different sites and a somewhat counter-intuitive correlation inequality.

Design of Programmable Wideband Low Pass Filter with Continuous-Time/Discrete-Time Hybrid Architecture

2017 ◽  
Vol E100.C (10) ◽  
pp. 858-865 ◽  
Author(s):  
Yohei MORISHITA ◽  
Koichi MIZUNO ◽  
Junji SATO ◽  
Koji TAKINAMI ◽  
Kazuaki TAKAHASHI
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
Hybrid Architecture ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass

scholarly journals Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality

Psychometrika ◽  
2021 ◽  
Author(s):  
Oisín Ryan ◽  
Ellen L. Hamaker
Keyword(s):  
Network Analysis ◽  
Discrete Time ◽  
Continuous Time ◽  
Centrality Measures ◽  
Time Interval ◽  
Direct Effects ◽  
Network Approach ◽  
Var Models ◽  
Auto Regressive ◽  
Conceptual Shift

AbstractNetwork analysis of ESM data has become popular in clinical psychology. In this approach, discrete-time (DT) vector auto-regressive (VAR) models define the network structure with centrality measures used to identify intervention targets. However, VAR models suffer from time-interval dependency. Continuous-time (CT) models have been suggested as an alternative but require a conceptual shift, implying that DT-VAR parameters reflect total rather than direct effects. In this paper, we propose and illustrate a CT network approach using CT-VAR models. We define a new network representation and develop centrality measures which inform intervention targeting. This methodology is illustrated with an ESM dataset.

On quasi-stationary distributions in absorbing continuous-time finite Markov chains

1967 ◽  
Vol 4 (1) ◽  
pp. 192-196 ◽  
Author(s):  
J. N. Darroch ◽  
E. Seneta
Keyword(s):  
Markov Chains ◽  
Discrete Time ◽  
Continuous Time ◽  
Present Note ◽  
Time Parameter ◽  
Stationary Distributions ◽  
Finite State ◽  
Absorbing Markov Chains ◽  
Finite Markov Chains ◽  
Finite State Space

In a recent paper, the authors have discussed the concept of quasi-stationary distributions for absorbing Markov chains having a finite state space, with the further restriction of discrete time. The purpose of the present note is to summarize the analogous results when the time parameter is continuous.

scholarly journals Time Step Rescaling Recovers Continuous-Time Dynamical Properties for Discrete-Time Langevin Integration of Nonequilibrium Systems

2014 ◽  
Vol 118 (24) ◽  
pp. 6466-6474 ◽  
Author(s):  
David A. Sivak ◽  
John D. Chodera ◽  
Gavin E. Crooks
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
Nonequilibrium Systems ◽  
Time Step ◽  
Dynamical Properties

MATLAB/SIMULINK-based high-level synthesis of discrete-time and continuous-time ΣΔ modulators

2004 ◽  
Author(s):  
J. Ruiz-Amaya ◽  
J.M. de la Rosa ◽  
F. Medeiro ◽  
F.V. Fernandez ◽  
R. del Rio ◽  
...  
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
High Level Synthesis ◽  
Matlab Simulink ◽  
High Level

Continuous-Time Versus Discrete-Time Point Process Models for Rainfall Occurrence Series

1986 ◽  
Vol 22 (4) ◽  
pp. 531-542 ◽  
Author(s):  
Efi Foufoula-Georgiou ◽  
Dennis P. Lettenmaier
Keyword(s):  
Point Process ◽  
Discrete Time ◽  
Continuous Time ◽  
Process Models ◽  
Rainfall Occurrence ◽  
Point Process Models ◽  
Time Point

Monte Carlo experiment for the two-dimensional site percolation network

1978 ◽  
Vol 11 (18) ◽  
pp. L763-L765 ◽  
Author(s):  
Y Yuge ◽  
K Onizuka
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Experiment ◽  
Two Dimensional ◽  
Site Percolation ◽  
Percolation Network
Sign in / Sign up

Export Citation Format

Share Document