Results 61 to 70 of about 175,146 (298)

Auto‐Generated Valence States in Electrocatalysts for Boosting Oxygen and Hydrogen Evolution Kinetics in Alkaline Water/Alkaline Seawater/Simulated Seawater/Natural Seawater

open access: yesAdvanced Functional Materials, EarlyView.
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari   +4 more
wiley   +1 more source

Using Subspace Algorithms for the Estimation of Linear State Space Models for Over-Differenced Processes

open access: yesEconometrics
Subspace algorithms like canonical variate analysis (CVA) are regression-based methods for the estimation of linear dynamic state space models. They have been shown to deliver accurate (consistent and asymptotically equivalent to quasi-maximum likelihood
Dietmar Bauer
doaj   +1 more source

Right on Target, or Is it? The Role of Distributional Shape in Variance Targeting

open access: yesEconometrics, 2015
Estimation of GARCH models can be simplified by augmenting quasi-maximum likelihood (QML) estimation with variance targeting, which reduces the degree of parameterization and facilitates estimation.
Stanislav Anatolyev, Stanislav Khrapov
doaj   +1 more source

Efficient estimation of high-dimensional multivariate normal copula models with discrete spatial responses [PDF]

open access: yes, 2015
The distributional transform (DT) is amongst the computational methods used for estimation of high-dimensional multivariate normal copula models with discrete responses.
Nikoloulopoulos, Aristidis K
core   +2 more sources

Penalized quasi-likelihood estimation in partial linear models [PDF]

open access: yesThe Annals of Statistics, 1997
The problem of estimation of the function \(F(\theta_0'x +m_0(z))\) is solved, where \(F:R\to R\) is a given function, \(\Theta_0\in R^{d_1}\) an unknown parameter, and \(M_0 (z)\) an unknown function in a given class of functions. The authors propose quasi-likelihood estimators as estimators of the unknown characteristics basing on a sample from the ...
Mammen, Enno, van de Geer, Sara
openaire   +5 more sources

DNA‐Templated 2D Heterostructures as Phototriggered Dynamic Nanohybrids: From Releasing Molecular Loads to Controlling Enzyme Biocatalytic Function

open access: yesAdvanced Functional Materials, EarlyView.
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen   +3 more
wiley   +1 more source

Parameter Estimation in Nonlinear AR-GARCH Models [PDF]

open access: yes
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditionally heteroskedastic errors. We consider a functional coefficient autoregression of order p (AR(p)) with the conditional variance specified as a general
Mika Meitz, Pentti Saikkonen
core   +3 more sources

On combining quasi-likelihood estimating functions

open access: yesStochastic Processes and their Applications, 1987
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts

open access: yesAdvanced Functional Materials, EarlyView.
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado   +6 more
wiley   +1 more source

Photoconductivity‐Driven Quantum Efficiency Gain in Inorganic Ruddlesden‐Popper Layered Cs2PbBr2I2 Perovskite Photodetector for Visible Light Detection

open access: yesAdvanced Functional Materials, EarlyView.
Rational halogen mixing strategy was employed to shift the bandgap of Cs2PbBr2I2 from ultraviolet to visible region, enabling first realization of a visible‐light photodetector with this 2D layered Ruddlesden‐Popper perovskite material. Under illumination, light‐induced internal field forms and drives trap‐mediated persistent photoconductivity ...
Md Fahim Al Fattah   +11 more
wiley   +1 more source

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