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Found 5 papers, 0 papers with code
Modeling and Analysis of a Coupled SIS Bi-Virus Model
We establish a sufficient condition and multiple necessary conditions for local exponential convergence to the boundary equilibrium (i. e., one virus persists, the other one dies out) of each virus.
On the Role of Asymptomatic Carriers in Epidemic Spread Processes
We provide an investigation of equilibria and stability properties for these models, and present simulation results illustrating the effects of asymptomatic-infected individuals on the spread of the disease.
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification
Incoming edges to a node in the graph indicate that the state of the node at a particular time instant is influenced by the states of the corresponding parental nodes in the previous time instant.
Mixing Times and Structural Inference for Bernoulli Autoregressive Processes
For a network with $p$ nodes, where each node has in-degree at most $d$ and corresponds to a scalar Bernoulli process generated by a BAR, we provide a greedy algorithm that can efficiently learn the structure of the underlying directed graph with a sample complexity proportional to the mixing time of the BAR process.
Estimator Selection: End-Performance Metric Aspects
The separation of the system estimator from the experiment design is done within this new framework by choosing and fixing the estimation method to either a maximum likelihood (ML) approach or a Bayesian estimator such as the minimum mean square error (MMSE).
