Results 71 to 80 of about 142,210 (310)
Mixed normal conditional heteroskedasticity [PDF]
, 2002 Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been employed for modeling financial return data.
Mittnik, Stefan +2 more
core
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
Advanced Robotics Research, EarlyView.This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
Contrastive Entropy Bounds for Density and Conditional Density Decomposition
CoRRThis paper studies the interpretability of neural network features from a Bayesian Gaussian view, where optimizing a cost is reaching a probabilistic bound; learning a model approximates a density that makes the bound tight and the cost optimal, often with a Gaussian mixture density.
Bo Hu, José C. Príncipe
openaire +2 more sources
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Filtering for jump-diffusion models by statistical modeling method
Научный вестник МГТУ ГА, 2016 This article develops new methods that reduce the optimal filtering problem for jump-diffusion models to the analysis problem for the special stochastic system with jumps, branching and terminating trajectories. Earlier appropriate methods and algorithms
K. A. Rybakov
doaj
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
A Duality Result for the Generalized Erlang Risk Model
Risks, 2014 In this article, we consider the generalized Erlang risk model and its dual model. By using a conditional measure-preserving correspondence between the two models, we derive an identity for two interesting conditional probabilities.
Lanpeng Ji, Chunsheng Zhang
doaj +1 more source
Capacities and Density Conditions in Metric Spaces
Potential Analysis23 ...
Canto, Javier +3 more
openaire +4 more sources
Regularized non-parametric multivariate density and conditional density estimation
2010 IEEE Conference on Multisensor Fusion and Integration, 2010 In this paper, a distance-based method for both multivariate non-parametric density and conditional density estimation is proposed. The contributions are the formulation of both density estimation problems as weight optimization problems for Gaussian mixtures centered about samples with identical parameters.
Krauthausen, Peter, Hanebeck, Uwe D.
openaire +4 more sources
Advanced Science, EarlyView.Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang +13 more
wiley +1 more source