Results 41 to 50 of about 2,628 (112)

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

Mathematical Finance, EarlyView.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici, Gianluca Fusai, Anna Maria Gambaro, Daniele Marazzina   +3 more
wiley   +1 more source

Random Carbon Tax Policy and Investment Into Emission Abatement Technologies

Mathematical Finance, EarlyView.
ABSTRACT We analyze the problem of a profit‐maximizing electricity producer, subject to carbon taxes, who decides on investments into CO2$\rm CO_2$ abatement technologies. We assume that the carbon tax policy is random and that the investment in the abatement technology is divisible, irreversible, and subject to transaction costs.
Katia Colaneri, Rüdiger Frey, Verena Köck   +2 more
wiley   +1 more source

A Model of Strategic Sustainable Investment

Mathematical Finance, EarlyView.
ABSTRACT We study a problem of optimal irreversible investment and emission reduction formulated as a nonzero‐sum dynamic game between an investor with environmental preferences and a firm. The game is set in continuous‐time on an infinite‐time horizon.
Tiziano De Angelis, Caio César Graciani Rodrigues, Peter Tankov   +2 more
wiley   +1 more source

An innovative modelling proposal for the blood supply chain

Vox Sanguinis, EarlyView.
Abstract Whole‐blood donation and apheresis are the only ways to obtain blood components for human use. Tools are being developed to improve the efficiency of blood donation systems by reducing waste, increasing donations and preventing shortages.
Jorge Pagán‐Ortiz, Josué Pagán, María Luisa Lozano, Vicente Vicente, Francisca Ferrer‐Marín   +4 more
wiley   +1 more source

How AI‐Generated Feedback Hinders or Helps Learning: A Heterogeneous TNA Study of Learning Dynamics

Journal of Computer Assisted Learning, Volume 42, Issue 4, August 2026.
ABSTRACT Background Despite growing integration of generative AI in educational settings, little is known about whether and to what extent AI‐generated real‐time feedback can support first‐grade students in solving multimodal mathematical tasks. Objectives Our study aims to examine student–AI feedback dynamics from a process‐oriented perspective ...
Sonsoles López‐Pernas, Kamila Misiejuk, Mohammed Saqr   +2 more
wiley   +1 more source

Output‐Feedback H∞$$ {H}_{\infty } $$ Detector‐Based Control of Continuous‐Time Markov Jump Lur'e Systems With Sector‐Bound Optimization

International Journal of Robust and Nonlinear Control, Volume 36, Issue 12, Page 6304-6317, August 2026.
ABSTRACT This paper addresses the problem of dynamic output‐feedback H∞$$ {H}_{\infty } $$ detector‐based control for continuous‐time Markov Jump Lur'e Systems with uncertain transition rate matrices. In contrast to conventional approaches, the proposed synthesis conditions are derived using Finsler's lemma, introducing additional slack variables to ...
Lucas P. M. Silva, Cecilia F. Morais, Ricardo C. L. F. Oliveira   +2 more
wiley   +1 more source

Alternative representations of the Aalen‐Johansen estimator of the state occupation probabilities in multi‐state models

Statistica Neerlandica, Volume 80, Issue 3, August 2026.
Abstract Multi‐state models are a flexible framework for analysing processes that evolve through different states over time, with applications in medicine, demography, and economics, among others. A key quantity of interest is the state occupation probability, commonly estimated by the Aalen‐Johansen estimator.
Tianjiao Yan, Ronald Geskus, Hein Putter
wiley   +1 more source

Style‐Constrained Inverse Design of Microstructures With Tailored Mechanical Properties Using Unconditional Diffusion Models

International Journal for Numerical Methods in Engineering, Volume 127, Issue 13, 15 July 2026.
ABSTRACT Deep generative models, particularly denoising diffusion models, have achieved remarkable success in high‐fidelity generation of architected microstructures with desired properties and styles. However, these recent methods typically rely on conditional training mechanisms that require extensive labeled data.
Weipeng Xu, Ziyuan Xie, Haoju Lin, Xinyu Wang, Guangjin Mou, Tianju Xue   +5 more
wiley   +1 more source

An intuitive method to calculate the utilization distribution of an animal from step‐selection analysis

Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2175-2188, July 2026.
Abstract Step‐selection analysis (SSA) is a popular tool for estimating resource/habitat selection conditional on the local availability of conditions as determined by an animal's movement capacity. These models can be subsequently used to parameterize a movement model; however, most SSAs focus instead merely on interpreting the direction and magnitude
Natasha Ellison‐Neary, Seth Oppenheimer, Tobit Dehnen, Ben J. Hatchwell, Garrett M. Street   +4 more
wiley   +1 more source

Mutation rate estimate and population genomic analysis reveals decline of koalas prior to human arrival. [PDF]

Mol Biol Evol
Kovacs TGL, Foley NM, Silver LW, McLennan EA, Murphy WJ, Hogg CJ, Ho SYW.   +6 more
europepmc   +1 more source