Results 161 to 170 of about 2,540,801 (303)
Solving SDGE Models: A New Algorithm for the Sylvester Equation [PDF]
This paper presents a new numerical algorithm for solving the Sylvester equation involved in higher-order perturbation methods developed for solving stochastic dynamic general equilibrium models.
Ondrej Kamenik
core
Performance change detection and recovery in inferential control loops
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley +1 more source
A recursive algorithm for solving the spatial Yule-Walker equations of causal spatial AR models
A recursive algorithm is proposed to solve the spatial Yule-Walker equations for causal spatial AR models.Spatial AR process Yule-Walker equations Recursive algorithm Order ...
Choi, ByoungSeon
core
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Nonparametric maximum likelihood estimation of the survival function using current lifetime data
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley +1 more source
Optimal subsampling for regression with mixed‐type predictors
Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley +1 more source
Recursive successive over-relaxation algorithm for adaptive filtering
Bu çalışma, 12-14 Ekim 2012 tarihleri arasında İstanbul[Türkiye]’da düzenlenen 5. Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA)’da bildiri olarak sunulmuştur.A new recursive algorithm is introduced to adjust ...
Koçal, Osman Hilmi
core
Homophily‐adjusted social influence estimation
Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley +1 more source
The Kernel Recursive Least-Squares Algorithm
—We present a nonlinear version of the recursive least squares (RLS) algorithm. Our algorithm performs linear regression in a high-dimensional feature space induced by a Mercer kernel and can therefore be used to recursively construct minimum mean ...
core
Accurate assessment of systemic drug exposure in humans remains challenging, as conventional approaches rely on intermittent blood sampling and laboratory‐based assays that are invasive and provide limited temporal resolution. Exhaled breath contains volatile and semi‐volatile compounds arising from drug metabolism and downstream biological processes ...
Kai Fricke +12 more
wiley +1 more source

