Results 121 to 130 of about 241,122 (289)
Hierarchical hidden Markov structure for dynamic correlations: the hierarchical RSDC model. [PDF]
This paper presents a new multivariate GARCH model with time-varying conditional correlation structure which is a generalization of the Regime Switching Dynamic Correlation (RSDC) of Pelletier (2006).
Philippe Charlot, Vêlayoudom Marimoutou
core
Bivariate postprocessing of wind vectors
Quarterly Journal of the Royal Meteorological Society, EarlyView.We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Structural Concrete, EarlyView.Abstract Our generation inherits this cultural heritage of historic material and historic reinforced concrete structures and thus bears a certain responsibility to preserve these historic buildings with the help of the new technologies of lifetime management, conservation concepts and the new digitalization as well as the emerging safety concepts of ...
A. Strauss
wiley +1 more source
Bayesian Diagnostics of Hidden Markov Structural Equation Models with Missing Data
, 2018 Jingheng Cai +3 more
openalex +1 more source
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.Greenhouse cultivation offers the advantage of controlled growth conditions, leading to enhanced crop productivity and quality. However, maintaining these optimal conditions requires substantial energy, resulting in increased greenhouse gas emissions and operational costs. Integrating local renewable energy sources, particularly photovoltaic (PV) solar
Akihiro Funaki, Jorge Solis
wiley +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference [PDF]
, 2018 Vianey Leos‐Barajas, Théo Michelot
openalex +1 more source
Environmental Toxicology, EarlyView.ABSTRACT Given the inevitability of human and animal exposure to acrylamide, there is increasing concern regarding its potential health risks. While a number of molecular mechanisms have been proposed, the complexity of acrylamide toxicological pathways and interactions remains incompletely characterized.
Oluwabukola Mary Farodoye +5 more
wiley +1 more source
The performance of drones and artificial intelligence for monitoring sage‐grouse at leks
Wildlife Biology, EarlyView.Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew +2 more
wiley +1 more source