3 citations · 4 across the 5 of their papers we have counts for
6 papers
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
Bright Kwaku Manu, Trevor Reckell, Beckett Sterner +1
Stochastic Petri Nets (SPNs) are an increasingly popular tool of choice for modeling discrete-event dynamics in areas such as epidemiology and systems biology, yet their parameter…
The Basic Reproduction Number for Petri Net Models: A Next-Generation Matrix Approach
Trevor Reckell, Beckett Sterner, Petar Jevtić
The basic reproduction number () is an epidemiological metric that represents the average number of new infections caused by a single infectious individual in a completely sus…
MPAT: Modular Petri Net Assembly Toolkit
Stefano Chiaradonna, Petar Jevtic, Beckett Sterner
We present a Python package called Modular Petri Net Assembly Toolkit (MPAT) that empowers users to easily create large-scale, modular Petri Nets for various spatial configurations…
A Numerical Comparison of Petri Net and Ordinary Differential Equation SIR Component Models
Trevor Reckell, Bright Kwaku Manu, Beckett Sterner +2
Petri Nets are an increasingly used modeling framework for the spread of disease across populations or within an individual. For example, the Susceptible-Infectious-Recovered (SIR)…
Probabilistic Framework For Loss Distribution Of Smart Contract Risk
Petar Jevtic, Nicolas Lanchier
Smart contract risk can be defined as a financial risk of loss due to cyber attacks on or contagious failures of smart contracts. Its quantification is of paramount importance to t…
Modeling Frequency and Severity of Claims with the Zero-Inflated Generalized Cluster-Weighted Models
Nikola Pocuca, Petar Jevtic, Paul D. McNicholas +1
In this paper, we propose two important extensions to cluster-weighted models (CWMs). First, we extend CWMs to have generalized cluster-weighted models (GCWMs) by allowing modeling…