Results 51 to 60 of about 335 (214)
We give an overview of some of the software tools available in R, either as built- in functions or contributed packages, for the analysis of state space models.
Giovanni Petris, Sonia Petrone
doaj
Detection of unobserved heterogeneity with growth mixture models
Latent growth curve models as structural equation models are extensively discussed in various research fields (Duncan et al., 2006). Recent methodological and statistical extension are focused on the consideration of unobserved heterogeneity in ...
Jost Reinecke, Luca Mariotti
doaj +1 more source
Univariate unobserved-component model with a nonrandom-walk permanent component [PDF]
In this note, we revisit the univariate unobserved-component (UC) model of US GDP by relaxing the traditional random-walk assumption of the permanent component. Since our general UC model is unidentified, we investigate the upper bound of the contribution of the transitory component, and find it is dominated by the permanent component.
openaire +4 more sources
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
This article investigates the causal links between health and employment status. To disentangle correlation from causality effects, the authors leverage a French panel survey to estimate a bivariate dynamic probit model that can account for the ...
Eric Delattre +2 more
doaj +1 more source
A regenerated cellulose (RC) hydrogel‐based SERS substrate integrating a Marangoni‐transferred gold nanoparticle self‐assembled monolayer (Au‐SAM) is fabricated. Reswelling‐induced hotspot formation enhances polystyrene micro/nanoplastics (PS MNPs) detection in complex matrices, providing reproducible, high‐throughput SERS signals across diverse ...
Youngho Jeon +5 more
wiley +1 more source
REGCMPNT – A Fortran Program for Regression Models with ARIMA Component Errors
RegComponent models are time series models with linear regression mean functions and error terms that follow ARIMA (autoregressive-integrated-moving average) component time series models.
William R. Bell
doaj
Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring
A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng +4 more
wiley +1 more source
State Space Modeling Using SAS
This article provides a brief introduction to the state space modeling capabilities in SAS, a well-known statistical software system. SAS provides state space modeling in a few different settings.
Rajesh Selukar
doaj
Measuring business cycles: Empirical evidence based on an unobserved component approach
We adopt an unobserved components time series model to track the business cycles in the G7 countries using the Industrial production index over the period from 1:1961 to 8:2017. The advantage of adopting the industrial production series frequency is that
Huthaifa Alqaralleh
doaj +1 more source

