Results 121 to 130 of about 430,483 (293)

Flexible time series models for subjective distribution estimation with monetary policy in view [PDF]

In this paper, we introduce a new approach to estimate the subjective distribution of the future short rate from the historical dynamics of futures, based on a model generated by a Normal Inverse Gaussian distribution, with dynamical parameters.
Dominique Guegan, Florian Ielpo
core  

A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection

Advanced Materials, EarlyView.
A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing, Anubhab Tripathi, Si En Ng, Natalia Yantara, Yue Gong, Qinjie Wu, Yeow Boon Tay, Wen Siang Lew, Yang Chai, Arindam Basu, Nripan Mathews   +10 more
wiley   +1 more source

Bayesian Estimation of Inverse Gaussian Distribution

, 2012
In this paper we consider Bayesian estimation for the parameters of inverse Gaussian distribution. Our emphasis is on Markov Chain Monte Carlo methods. We provide complete implementation of the Gibbs sampler algorithm. Assuming an informative prior, Bayes estimates are computed using the output of the Gibbs sampler and also from Lindley's approximation
Pandey, B. N., Bandyopadhyay, Pulastya
openaire   +2 more sources

Plasmonic Nanomachines: Creating Local Potential Gradients and Motions

Advanced Materials, EarlyView.
Plasmonic nanomachines can generate optical, thermal, and chemical potential gradients to drive directional rectilinear, rotational, and twisting motions at the nanometer scale. The integration of multimodal plasmonic forces with functional materials and programmed structural distortions enables precise spatiotemporal actuation, thereby providing a ...
Yoonhee Kim, Soohyun Ji, Donghyun Choi, Jwa‐Min Nam   +3 more
wiley   +1 more source

Additive Manufacture of Diamond:Titanium Hybrid Quantum Sensors

Advanced Materials Interfaces, EarlyView.
ABSTRACT Additive manufacture represents one of the most advanced techniques for the creation of complex parts for applications as diverse as aerospace and implant surgery. However, a challenge with bespoke manufacture of metal parts is the incorporation of sensor elements in a fashion compatible with the 3D printing process.
Daniel Stavrevski, Marsilea A. Booth, David A. Broadway, Islay O. Robertson, Nour Mani, Joshua Zarins, Peter C. Sherrell, Amanda N. Abraham, Qiang Sun, Takeshi Ohshima, Brant C. Gibson, Kate Fox, Andrew D. Greentree   +12 more
wiley   +1 more source

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

Advanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue, Siddharth Kurup, Rebecca Banner, Calib Lanier, Eric Vogel, Michael Filler, Kira Barton   +6 more
wiley   +1 more source

Bayes reliability measures of Lognormal and inverse Gaussian distributions under ML-II ε-contaminated class of prior distributions [PDF]

In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Reliability measures for an Inverse Gaussian (IG) distribution and Lognormal (LN) distribution to misspecification in the prior.
Jayaraman, Prabha, Sinha, Pankaj
core   +1 more source

Enhanced Self‐Phase Modulation in Silicon Nitride Waveguides Integrated With 2D MoS2 Films

Advanced Materials Technologies, EarlyView.
ABSTRACT On‐chip integration of 2D materials provides a promising route toward next‐generation integrated optical devices with performance beyond existing limits. Here, significantly enhanced spectral broadening induced by self‐phase modulation (SPM) is experimentally demonstrated in silicon nitride (Si3N4) waveguides integrated with 2D monolayer ...
Shahaz S. Hameed, Di Jin, Aihao Zhao, Jiayang Wu, Junkai Hu, Irfan H. Abidi, Sebastien Cueff, Christian Grillet, Yuning Zhang, Houssein El Dirani, Corrado Sciancalepore, Sebastien Kerdiles, Quentin Wilmart, Sumeet Walia, Christelle Monat, David J. Moss   +15 more
wiley   +1 more source

Hierarchical Generalized Linear Models: The R Package HGLMMM [PDF]

The R package HGLMMM has been developed to fit generalized linear models with random effects using the h-likelihood approach. The response variable is allowed to follow a binomial, Poisson, Gaussian or gamma distribution.
Emmanuel Lesaffre, Marek Molas
core   +1 more source

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

Advanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen, Shi‐Qian Guo, Yu‐Chuan Chiu, Po‐Tsun Liu   +3 more
wiley   +1 more source