Flood catastrophe model for designing optimal flood insurance program: Estimating location‐specific premiums in the Netherlands

T Ermolieva, T Filatova, Y Ermoliev… - Risk …, 2017 - Wiley Online Library
As flood risks grow worldwide, a well‐designed insurance program engaging various
stakeholders becomes a vital instrument in flood risk management. The main challenge …

Integrated management of land use systems under systemic risks and security targets: a stochastic global biosphere management model

T Ermolieva, P Havlík, Y Ermoliev… - Journal of …, 2016 - Wiley Online Library
Interdependencies among land use systems resemble a complex network connected
through demand–supply relationships. Disruption of this network may catalyse systemic …

Catastrophic risk management: flood and seismic risks case studies

T Ermolieva, Y Ermoliev - Applications of stochastic programming, 2005 - SIAM
22.1 Introduction Losses from human-made and natural catastrophes are rapidly increasing.
Within the last three decades the direct damages only from natural disasters have increased …

[PDF][PDF] Food, energy and water nexus: methodology of modeling and risk management

KL Atoyev, AN Golodnikov, VM Gorbachuk… - FEW Nexus for …, 2020 - researchgate.net
The superposition of Climate Changes and Fourth Industrial Revolution (FIR) becomes the
main challenge for Global Society. Advances in technology (bio-and nano-technologies …

Optimization and Identification of Stochastic Systems*

PS Knopov - Cybernetics and Systems Analysis, 2023 - dl.acm.org
The author overviews some well-known scientific results from the theory of stochastic
optimization and theory of risk, obtained by the Academician of the National Academy of …

A novel robust meta-model framework for predicting crop yield probability distributions using multisource data

T Ermolieva, P Havlik… - … and Systems Analysis, 2023 - Springer
There is an urgent need to better understand and predict crop yield responses to weather
disturbances, in particular, of extreme nature, such as heavy precipitation events, droughts …

Chapter 4 Two-stage nonsmooth stochastic optimization and iterative stochastic quasigradient procedure for robust estimation, machine learning and decision making

T Ermolieva, Y Ermoliev, M Obersteiner… - Resilience in the digital …, 2021 - Springer
Uncertainties, risks, and disequilibrium are pervasive characteristics of modern socio-
economic, technological, and environmental systems involving interactions between …

Pricing the risk-transfer financial instruments via Monte Carlo methods

M Romaniuk - Systems Analysis Modelling Simulation, 2003 - Taylor & Francis
The article is devoted to finding the present value of catastrophe bonds using a combination
of Monte Carlo and Iterative Stochastic Equation methods. Apart from general methodology …

Problems on insurance of catastrophic risks

YM Ermol'yev, TY Ermol'Yeva, G McDonald… - … and Systems Analysis, 2001 - Springer
Risk processes with rare dependent claims are studied. Problems of estimation of the small
probability of bankruptcy and selection of an optimal portfolio of insurance contracts are …

Mathematical modeling for co** with uncertainty and risk

M Makowski - Systems and Human Science, 2005 - Elsevier
Publisher Summary Co** with uncertainty in decision-making, especially for integrated
management of risk, requires the analysis of various measures of outcomes resulting from …