Results 21 to 30 of about 4,993,128 (318)
Revstat Statistical Journal, 2022 In this paper we propose an iteratively reweighted adaptive elastic net estimation method for conditional heteroscedastic time series models. The sign consistency and the asymptotic normality of the estimator are investigated.
Yuanyuan Liao , Lihong Wang
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Mathematics, 2023 In the data-driven era, the mining of financial asset information and the selection of appropriate assets are crucial for stable returns and risk control.
Yumei Ren +3 more
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Biometrical journal. Biometrische Zeitschrift, 2023 In this work, we intersect data on size‐selected particulate matter (PM) with vehicular traffic counts and a comprehensive set of meteorological covariates to study the effect of traffic on air quality.
M. Ranalli +3 more
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Social Science Research Network, 2023 This paper investigates the dynamic connectedness of random shocks to housing prices between the 50 U.S. states and the District of Columbia. The paper implements a standard vector autoregressive (VAR) model as well as three VAR models with shrinkage ...
David Gabauer +3 more
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IEEE Access, 2023 In contemporary research, high-dimensional data has become more popular in many scientific fields with the rapid advancement of technology in collecting and storing large datasets.
Nuriye Sancar +3 more
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Application of Elastic Net Regression for Modeling COVID-19 Sociodemographic Risk Factors
medRxiv, 2023 Objectives: COVID-19 has been at the forefront of global concern since its emergence in December of 2019. Determining the social factors that drive case incidence is paramount to mitigating disease spread.
Tristan A Moxley +4 more
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Elasticity and Petri Nets [PDF]
, 2008 Digital electronic systems typically use synchronous clocks and primarily assume fixed duration of their operations to simplify the design process. Time elastic systems can be constructed either by replacing the clock with communication handshakes (asynchronous version) or by augmenting the clock with a synchronous version of a handshake (synchronous ...
Cortadella, Jordi +4 more
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A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features
Mathematics, 2022 The elastic net is among the most widely used types of regularization algorithms, commonly associated with the problem of supervised generalized linear model estimation via penalized maximum likelihood.
Juan Carlos Laria +3 more
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EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples [PDF]
AAAI Conference on Artificial Intelligence, 2017 Recent studies have highlighted the vulnerability of deep neural networks (DNNs) to adversarial examples — a visually indistinguishable adversarial image can easily be crafted to cause a well-trained model to misclassify.
Pin-Yu Chen +4 more
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Differential Priors for Elastic Nets [PDF]
, 2005 The elastic net and related algorithms, such as generative topographic mapping, are key methods for discretized dimension-reduction problems. At their heart are priors that specify the expected topological and geometric properties of the maps. However, up to now, only a very small subset of possible priors has been considered. Here we study a much more
Carreira-Perpiñán, M. +2 more
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