Results 91 to 100 of about 145,045 (118)

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Generative adversarial network based on domain adaptation for crack segmentation in shadow environments

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Precision segmentation of cracks is important in industrial non‐destructive testing, but the presence of shadows in the actual environment can interfere with the segmentation results of cracks. To solve this problem, this study proposes a two‐stage domain adaptation framework called GAN‐DANet for crack segmentation in shadowed environments. In
Yingchao Zhang, Cheng Liu
wiley   +1 more source

Expected value, to a point: Moral decision‐making under background uncertainty

Noûs, EarlyView.
Abstract Expected value maximization gives plausible guidance for moral decision‐making under uncertainty in many situations. But it has unappetizing implications in ‘Pascalian’ situations involving tiny probabilities of extreme outcomes. This paper shows, first, that under realistic levels of ‘background uncertainty’ about sources of value independent
Christian Tarsney
wiley   +1 more source

Enriched Pitman–Yor processes

Scandinavian Journal of Statistics, EarlyView.
Abstract Bayesian non‐parametrics has evolved into a broad area encompassing flexible methods for Bayesian inference, combinatorial structures, tools for complex data reduction, and more. Discrete prior laws play an important role in these developments, and various choices are available nowadays.
Tommaso Rigon, Sonia Petrone, Bruno Scarpa   +2 more
wiley   +1 more source

Multi‐stage stochastic frontier analysis for simple networks

International Transactions in Operational Research, Volume 32, Issue 5, Page 2497-2522, September 2025.
Abstract We develop a method for modelling multi‐stage production using stochastic frontier analysis. This approach is suitable for the analysis of costs or output where intermediate outputs become inputs into a subsequent stage of the production process, either within an organisation or in the form of a supply chain.
Geraint Johnes, Mike Tsionas, Marwan Izzeldin   +2 more
wiley   +1 more source

Forward uncertainty quantification in random differential equation systems with delta‐impulsive terms: Theoretical study and applications

Mathematical Methods in the Applied Sciences, Volume 48, Issue 7, Page 7609-7629, 15 May 2025.
This contribution aims at studying a general class of random differential equations with Dirac‐delta impulse terms at a finite number of time instants. Our approach directly addresses calculating the so‐called first probability density function, from which all the relevant statistical information about the solution, a stochastic process, can be ...
Vicente J. Bevia, Juan C. Cortés, Rafael J. Villanueva   +2 more
wiley   +1 more source

Thioether‐bridged surfactants for interfacial hydrophobic regulation and enhanced mineral flotation recovery

AIChE Journal, Volume 71, Issue 5, May 2025.
Abstract Surfactant modification to improve interfacial hydrophobicity is widely employed in separation applications such as mineral recovery. However, few modifications effectively enhance both the inherent hydrophobicity of the surfactant and its surface‐anchoring capacity.
Qing Sun, Diling Yang, Jingsi Chen, Ziqian Zhao, Hao Zhang, Hong Zhong, Hongbo Zeng   +6 more
wiley   +1 more source

Appraising Model Complexity in Option Pricing

Journal of Futures Markets, Volume 45, Issue 5, Page 455-472, May 2025.
ABSTRACT The research question we consider is whether incremental complexity in option pricing models is justified by incremental model performance. We apply the model confidence set as a formal model comparison approach in appraising stochastic volatility jump‐diffusion option pricing models, spanning affine and nonaffine specifications.
Mark Cummins, Francesco Esposito
wiley   +1 more source

3D Bioprinted Coaxial Testis Model Using Human Induced Pluripotent Stem Cells:A Step Toward Bicompartmental Cytoarchitecture and Functionalization

Advanced Healthcare Materials, Volume 14, Issue 10, April 15, 2025.
The ability of human induced pluripotent stem cells (hiPSCs) to model developmental processes makes them a promising source for engineering testicular tissues to study in vitro maturation and sperm production. This work describes the first hiPSC‐derived testicular model and shows that it captures functional aspects of prepubertal testicular tissues ...
Meghan A Robinson, Sonia HY Kung, Khaled YM Youssef, Kali M Scheck, Robert H Bell, Funda Sar, Anne M Haegert, M Mahdi Asmae, Changfeng Cheng, Salina V Yeack, Bhairvi T Mathur, Feng Jiang, Colin C Collins, Faraz Hach, Stephanie M Willerth, Ryan K Flannigan   +15 more
wiley   +1 more source

Stable Droplet Manipulation in Multiple Directions on a Magnetically Responsive Micropillar Array Surface

Advanced Materials Interfaces, Volume 12, Issue 7, April 7, 2025.
The directional rolling motion of low‐surface‐tension working fluids and water droplets on a superhydrophobic magnetically responsive micropillar array (SMMA) is investigated. The factors influencing these instabilities are studied using data analysis. Techniques for capturing and releasing droplets are investigated, offering significant insights into ...
Xinyuan Liu, Li Jia, Yi Ding, Chao Dang, Liaofei Yin, Jinzhu Xu, Ruiqi Zhang   +6 more
wiley   +1 more source