Results 51 to 60 of about 995,533 (306)
Estimation of Nonparametric Conditional Moment Models with Possibly Nonsmooth Moments [PDF]
This paper studies nonparametric estimation of conditional moment models in which the residual functions could be nonsmooth with respect to the unknown functions of endogenous variables.
Demian Pouzo, Xiaohong Chen
core +2 more sources
Advanced Engineering Materials, EarlyView.Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Weaker conditions for the convergence of Newton’s method
Journal of Complexity, 2012 The authors present new criteria for the convergence of Newton's method in finding an approximate solution of a nonlinear operator equation in a Banach space setting. The first result uses the center-Lipschitz condition. The second result uses Lipschitz and center-Lipschitz conditions on the Fréchet derivative of the involved operator.
Ioannis K. Argyros, Saïd Hilout
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Efficient estimation of semiparametric conditional moment models with possibly nonsmooth residuals [PDF]
This paper considers semiparametric efficient estimation of conditional moment models with possibly nonsmooth residuals in unknown parametric components (Θ) and unknown functions (h)of endogenous variables.
Demian Pouzo, Xiaohong Chen
core +4 more sources
Advanced Materials, EarlyView.Spatiotemporal control over cell behavior within bioprinted constructs remains a key challenge in biofabrication. Volumetric bioprinting using multi‐wavelength light sources permits to activate light‐sensitive intracellular proteins as well as optogenetic gene and protein expression circuits in bioprinted cells, in addition to enabling fast printing of
Davide Ribezzi +14 more
wiley +1 more source
INEGALITES TERRITORIALES, RATTRAPAGE ET CROISSANCE REGIONALE : EVALUATION EMPIRIQUE
Revue Economie, Gestion et Société, 2019 The issue of regional disparities is a central theme of public policies, social policies and debates on equitable development. In Morocco, the evolution of disparities between the regions of the country suggests that development gaps are widening, over ...
Abdellali FADLALLAH, Zakaria CHAKHAT
doaj +1 more source
Advanced Materials Technologies, EarlyView.A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
Rates of Convergence for Conditional Expectations
The Annals of Probability, 1980 Let $\{X_n: n \geqslant 1\}$ be a sequence of i.i.d. random variables with bounded continuous density or probability mass function $f(x)$. If $E(\exp(\alpha|X_1|^\beta)) 0$ and $0 < \beta \leqslant 1, \mu = L(X_1), c_n = o(n^{1/(2 - \beta)})$ and $h$ is a measurable function such that $M = E(|h(X_1)|\exp(\alpha|X_1|^\beta)) < \infty$, then $$E(h(X_1)|
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Convergence conditions for random quantum circuits [PDF]
Physical Review A, 2005 Efficient methods for generating pseudo-randomly distributed unitary operators are needed for the practical application of Haar distributed random operators in quantum communication and noise estimation protocols. We develop a theoretical framework for analyzing pseudo-random ensembles generated through a random circuit composition.
Emerson, Joseph +2 more
openaire +3 more sources
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