Results 81 to 90 of about 1,351,383 (295)
A note on smoothing parameter selection for penalized spline smoothing
, 2005 Kauermann G. A note on smoothing parameter selection for penalized spline smoothing. JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2005;127(1-2):53-69.In nonparametric regression the smoothing parameter can be selected by minimizing a Mean Squared Error
Kauermann, Göran
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Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Local Linear Forecasts Using Cubic Smoothing Splines [PDF]
We show how cubic smoothing splines fitted to univariate time series data can be used to obtain local linear forecasts. Our approach is based on a stochastic state space model which allows the use of a likelihood approach for estimating the smoothing ...
Baki Billah +3 more
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Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Ingeniería e Investigación, 2008 This paper focuses on presenting a method which is able to filter out noise and suppress outliers of sampled real functions under fairly general conditions.
Saad Bakkali, Lahcen Bahi
doaj
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Corporations increasingly use Environmental, Social, and Governance (ESG) reports to articulate their commitments, priorities, and performance in sustainability governance. This study examines how Korean firms have configured and reconfigured their sustainability discourses across industries and time using 634 sustainability reports (2014–2024)
Taedong Lee +3 more
wiley +1 more source
Smoothing: Local Regression Techniques [PDF]
Smoothing methods attempt to find functional relationships between different measurements. As in the standard regression setting, the data is assumed to consist of measurements of a response variable, and one or more predictor variables.
Loader, Catherine
core
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
ModellingThis research aims to explore and compare several nonparametric regression techniques, including smoothing splines, natural cubic splines, B-splines, and penalized spline methods.
Autcha Araveeporn
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Explicit B-spline regularization in diffeomorphic image registration
Frontiers in Neuroinformatics, 2013 Diffeomorphic mappings are central to image registration due largely to their topological properties and success in providing biologically plausible solutions to deformation and morphological estimation problems.
Nicholas James Tustison, Brian eAvants
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