output
20092025
most citedProblem-driven scenario generation: an analytical approach for stochastic programs with tail risk measure

35 citations

32 papers

nlin.SI2025

Symmetry Approach to Integration of Ordinary Differential Equations with Retarded Argument

Vladimir Dorodnitsyn, Roman Kozlov, Sergey Meleshko

We review studies on the application of Lie group methods to delay ordinary differential equations (DODEs). For first- and second-order DODEs with a single delay parameter that dep…

cs.CY2025★ 23 cited

How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare

Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli +19

Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach un…

econ.GN2024★ 2 cited

How Periodic Forecast Updates Influence MRP Planning Parameters: A Simulation Study

Wolfgang Seiringer, Klaus Altendorfer, Thomas Felberbauer +2

In many supply chains, the current efforts at digitalization have led to improved information exchanges between manufacturers and their customers. Specifically, demand forecasts ar…

q-fin.MF2023★ 24 cited

From constant to rough: A survey of continuous volatility modeling

Giulia Di Nunno, Kęstutis Kubilius, Yuliya Mishura +1

In this paper, we present a comprehensive survey of continuous stochastic volatility models, discussing their historical development and the key stylized facts that have driven the…

math-ph2023★ 3 cited

Lagrangian formalism and Noether-type theorems for second-order delay ODEs

Vladimir A. Dorodnitsyn, Roman V. Kozlov, Sergey V. Meleshko

The Lagrangian formalism for variational problem for second-order delay ordinary differential equations (DODEs) is developed. The Noether-type operator identities and theorems for…

stat.ME2022★ 2 cited

Bayesian Inference for Multivariate Spatial Models with R-INLA

Francisco Palmí-Perales, Virgilio Gómez-Rubio, Roger S Bivand +2

Bayesian methods and software for spatial data analysis are generally now well established in the scientific community. Despite the wide application of spatial models, the analysis…