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Comparison of classical, xgboost and neural network methods for parameter estimation in epidemic processes on random graphs

open access: yesFranklin Open
The main goal of this paper is to quantitatively compare the performance of classical methods to XGBoost and convolutional neural networks in a parameter estimation problem for SIR epidemic spread. Since we model the underlying social network by flexible
Ágnes Backhausz   +4 more
doaj   +1 more source

Reliability and performance evaluation of retrial repairable systems with an unreliable repairer using the GSPN model

open access: yesCroatian Operational Research Review
Generalized Stochastic Petri Nets ($GSPNs$) are widely used in reliability analysis to model and optimize the dependability of complex systems, enabling assessments of availability, failure probabilities, and repair processes through stochastic timing ...
Kheireddine Boudehane, Samira Taleb
doaj   +1 more source

Probability and Statistics [PDF]

open access: yesTransactions of the American Mathematical Society, 1934
openaire   +1 more source

Probability, Statistics, and Data Analysis.

open access: yesJournal of the American Statistical Association, 1972
J. A. Nelder   +2 more
openaire   +1 more source

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