Results 151 to 160 of about 665,590 (295)
Nonparametric Estimation of Risk-Neutral Densities [PDF]
This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk ...
Wolfgang Karl Härdle +2 more
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Advanced Science, EarlyView.A dynamic Ag+─S coordinated hydrogel with a sulfur–oxygen competitive coordination allosteric switch enables reversible tuning between soft–adhesive and stiff–robust states. Integrated with a lightweight 1DCNN classifier, the smart glove system achieves 99.70% laboratory and 93.35% real‐wear material recognition accuracy, offering a paradigm for self ...
Shixia Lan +4 more
wiley +1 more source
Nonparametric time trends in optimal design of experiments. [PDF]
When performing an experiment, the observed responses are often influenced by a temporal trend due to aging of material, learning effects, equipment wear-out, warm-up effects, etc. The construction of run orders that are optimally balanced for time trend
Tack, Lieven, Vandebroek, Martina
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Green's Functions of Non‐Hermitian Systems at Exceptional Deficiency
Advanced Science, EarlyView.We analyze the responses of a non‐Hermitian lattice system under the condition of exceptional deficiency (ED), when all bands in the system are formed by exceptional points. Using the frequency domain, we identify novel steady‐state responses that root in the broadband super‐Lorentzian Green's function (GF).
Congwei Lu, Guancong Ma
wiley +1 more source
An Improved Method for Bandwidth Selection when Estimating ROC Curves [PDF]
The receiver operating characteristic (ROC) curve is used to describe the performance of a diagnostic test which classifies observations into two groups.
Peter Hall, Rob J. Hyndman
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Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Advanced Science, EarlyView.Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Select earthquake forecasting models demonstrate consistency with prospective decadal observations in California. [PDF]
Nat CommunBayona JA +8 more
europepmc +1 more source
Kernel Smoothing in Semiparametric Regression
A semiparametric regression model consists of parametric explanatory part of the response as well as nonparametric regression function of one or more variable(s) interpreting the response. The basic semiparametric regression model involves a linear function of a single parametric covariate as well as an unknown but preferably nonlinear function of a ...
openaire +1 more source
Advanced Science, EarlyView.Inspired by the sophisticated multilayer retinal architecture found in Pacific salmon eyes, a novel van der Waals heterojunction sensor based on NbNiTe5/BP is designed. Upon illumination at distinct wavelengths of 365 and 820 nm, the device exhibits distinctive bipolar photocurrent responses with opposite polarities. This unique optoelectronic behavior
Tianle Zeng +18 more
wiley +1 more source
A test for model specification of diffusion processes [PDF]
We propose a test for model specification of a parametric diffusion process based on a kernel estimation of the transitional density of the process. The empirical likelihood is used to formulate a statistic, for each kernel smoothing bandwidth, which is ...
Gao, Jiti +2 more
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