Results 41 to 50 of about 3,168 (213)

Reanalysis Product-Based Nonstationary Frequency Analysis for Estimating Extreme Design Rainfall

Atmosphere, 2021
Nonstationarity is one major issue in hydrological models, especially in design rainfall analysis. Design rainfalls are typically estimated by annual maximum rainfalls (AMRs) of observations below 50 years in many parts of the world, including South ...
Dong-IK Kim, Dawei Han, Taesam Lee
doaj   +1 more source

Board Gender Diversity and Circular Business Performance: A Novel Moderated Mediation Framework in Emerging Economies

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the influence of female directors on circular business performance (CBP), incorporating the mediating role of environmental orientation and the moderating roles of institutional pressure and stakeholder engagement. Drawing on Behavioral Agency Theory and the Natural Resource Based View, we argue that board gender diversity ...
Wu Ning, Ummar Faruk Saeed, Hela Borgi, Maxwell Kongkuah   +3 more
wiley   +1 more source

Statistical limits and conditional complexity in real-world reinforcement learning: a tutorial survey

Frontiers in Artificial Intelligence
Reinforcement learning (RL) has achieved remarkable success in controlled environments, demonstrating superhuman performance in domains such as game playing and simulated robotics. However, its transition to real-world applications remains constrained by
Amar Ahmad, Yvonne Vallès, Youssef Idaghdour   +2 more
doaj   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Adjusting the Neuroimaging Statistical Inferences for Nonstationarity [PDF]

, 2009
In neuroimaging cluster-based inference has generally been found to be more powerful than voxel-wise inference. However standard cluster-based methods assume stationarity (constant smoothness), while under nonstationarity clusters are larger in smooth regions just by chance, making false positive risk spatially variant. Hayasaka et al.
Gholamreza Salimi Khorshidi, Stephen M. Smith 0001, Thomas E. Nichols   +2 more
openaire   +5 more sources

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions

Mathematics
We review recent articles that focus on the main issues identified in high-frequency financial data analysis. The issues to be addressed include nonstationarity, low signal-to-noise ratios, asynchronous data, imbalanced data, and intraday seasonality. We
Lu Zhang, Lei Hua
doaj   +1 more source

On the Nature of Functional Differentiation: The Role of Self-Organization with Constraints

Entropy, 2022
The focus of this article is the self-organization of neural systems under constraints. In 2016, we proposed a theory for self-organization with constraints to clarify the neural mechanism of functional differentiation.
Ichiro Tsuda, Hiroshi Watanabe, Hiromichi Tsukada, Yutaka Yamaguti   +3 more
doaj   +1 more source

Effect of nonstationarities on detrended fluctuation analysis [PDF]

Physical Review E, 2002
Detrended fluctuation analysis (DFA) is a scaling analysis method used to quantify long-range power-law correlations in signals. Many physical and biological signals are ``noisy'', heterogeneous and exhibit different types of nonstationarities, which can affect the correlation properties of these signals.
Chen, Zhi, Ivanov, Plamen Ch., Hu, Kun, Stanley, H. Eugene   +3 more
openaire   +4 more sources

Seizure forecasting: The long and winding road to clinical translation

Epilepsia, EarlyView.
Abstract Seizure forecasting has progressed from theoretical aspiration to a rapidly advancing research domain, yet clinical translation remains limited. Over the past decades, advances in algorithm development, chronic electroencephalography (EEG), wearable sensors, and the characterization of seizure cycles have demonstrated that seizure risk is not ...
Philippa J. Karoly, Rachel E. Stirling, Mark J. Cook, Daniel M. Goldenholz, Maxime O. Baud, Vikram R. Rao, Solveig Vieluf, Benjamin H. Brinkmann   +7 more
wiley   +1 more source