Results 101 to 110 of about 1,747,393 (329)

Predicting extreme VaR: Nonparametric quantile regression with refinements from extreme value theory [PDF]

This paper studies the performance of nonparametric quantile regression as a tool to predict Value at Risk (VaR). The approach is flexible as it requires no assumptions on the form of return distributions.
Julia Schaumburg
core  

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

Ranking, and Other Properties, of Elite Swimmers Using Extreme Value Theory [PDF]

, 2020
Harriet Spearing, Jonathan A. Tawn, David Irons, Tim Paulden, Grace Bennett   +4 more
openalex   +1 more source

Extreme Value Theory and Value at Risk : Application to Oil Market [PDF]

Recent increases in energy prices, especially oil prices, have become a principal concern for consumers, corporations, and governments. Most analysts believe that oil price fluctuations have considerable consequences on economic activity.
Abdelwahed Trabelsi, Bechir Raggad, Vêlayoudom Marimoutou   +2 more
core  

Extreme Value Theory Filtering Techniques for Outlier Detection [PDF]

, 2009
We introduce asymptotic parameter-free hypothesis tests based on extreme value theory to detect outlying observations in finite samples. Our tests have nontrivial power for detecting outliers for general forms of the parent distribution and can be ...
Olmo, J.
core   +1 more source

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, EarlyView.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source

Some aspects of random utility, extreme value theory and multinomial logit models [PDF]

In this paper we give a survey on some basic ideas related to random utility, extreme value theory and multinomial logit models. These ideas are well known within the field of spatial economics, but do not appear to be common knowledge to researchers in ...
Andersson, Jonas, Ubøe, Jan
core  

Prospects of Electric Field Control in Perpendicular Magnetic Tunnel Junctions and Emerging 2D Spintronics for Ultralow Energy Memory and Logic Devices

Advanced Functional Materials, EarlyView.
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp, Brahmdutta Dixit, Yifei Yang, Deyuan Lyu, Thomas Peterson, Qi Jia, Yu‐Chia Chen, Jian‐Ping Wang   +7 more
wiley   +1 more source

Analytical first-screening of distributed generation hosting capacity via extreme-value theory

International Journal of Electrical Power & Energy Systems
Against the backdrop of large-scale interconnection requests for distributed generation (DG), there is a growing demand for rapid assessment of distribution network hosting capacity (DGHC).
Xin Ma, Han Wu, Yue Yuan, Wenhui Shi, Yuehui Huang   +4 more
doaj   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source