Results 91 to 100 of about 29,182 (301)

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Why Are Beveridge-Nelson and Unobserved-Component Decompositions of GDP So Different? [PDF]

This paper reconciles two widely-used decompositions of GDP into trend and cycle that yield starkly different results. Beveridge-Nelson (BN) implies that a stochastic trend accounts for most of the variation in output, while Unobserved-Components (UC ...
James Morley, Eric Zivot, Charles Nelson
core  

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

State Space Methods in gretl

Journal of Statistical Software, 2011
gretl is a general-purpose econometric package, whose most important characteristic is being free software. This ensures that its source code is freely available under the general public license (GPL) and, like most GPL software, that it can be used free
Riccardo Lucchetti
doaj  

Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning

Advanced Optical Materials, EarlyView.
Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam, Chan Y. Park, Min Seok Jang   +2 more
wiley   +1 more source

Prediction intervals in conditionally heteroscedastic time series with stochastic components. [PDF]

Differencing is a very popular stationary transformation for series with stochastic trends. Moreover, when the differenced series is heteroscedastic, authors commonly model it using an ARMA-GARCH model. The corresponding ARIMA-GARCH model is then used to
Ruiz, Esther, Espasa, Antoni, Pellegrini, Santiago   +2 more
core  

Forecasting Oil Price by Hierarchical Shrinkage in Dynamic Parameter Models

Discrete Dynamics in Nature and Society, 2020
The aim of this paper is to forecast monthly crude oil price with a hierarchical shrinkage approach, which utilizes not only LASSO for predictor selection, but a hierarchical Bayesian method to determine whether constant coefficient (CC) or time-varying ...
Yuntong Liu, Yu Wei, Yi Liu, Wenjuan Li
doaj   +1 more source

Color Center Formation in Silicon‐On‐Insulator for On‐Chip Photonic Integration

Advanced Optical Materials, EarlyView.
ABSTRACT Color centers in silicon have great potential as single photon sources for quantum technologies. Some of them – like the T center – also possess optically‐active spins that enable spin‐photon interfaces for generating entangled photons and multi‐spin registers. This paper explores the generation of several types of color centers in silicon for
Arnulf J. Snedker‐Nielsen, David R. Gongora, Magnus L. Madsen, Christian H. Christiansen, Eike L. Piehorsch, Mathias Ø. Augustesen, Elvedin Memisevic, Sangeeth Kallatt, Rodrigo A. Thomas, Mark K. Svendsen, James L. Webb, Peter K. Jeppesen, Marianne E. Bathen, Lasse Vines, Peter Granum, Stefano Paesani   +15 more
wiley   +1 more source

The relationship between ARIMA-GARCH and unobserved component models with GARCH disturbances [PDF]

The objective of this paper is to analyze the consequences of fitting ARIMA-GARCH models to series generated by conditionally heteroscedastic unobserved component models. Focusing on the local level model, we show that the heteroscedasticity is weaker in
Santiago Pellegrini, Esther Ruiz, Antoni Espasa   +2 more
core  

Measuring equilibrium models: a multivariate approach [PDF]

Revista Română de Statistică, 2011
This paper presents a multivariate methodology for obtaining measures of unobserved macroeconomic variables. The used procedure is the multivariate Hodrick-Prescot which depends on smoothing param eters. The choice of these parameters is crucial.
Nadji RAHMANIA
doaj