Results 61 to 70 of about 2,865,465 (299)
REGCMPNT – A Fortran Program for Regression Models with ARIMA Component Errors
Journal of Statistical Software, 2011 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
Health Economics Review, 2019 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
Advanced Functional Materials, EarlyView.The 2D carbon‐supported Gd–CuO exhibits strong interfacial electronic coupling, abundant oxygen vacancies, and highly exposed active sites, enabling efficient CO enrichment and C─C coupling toward selective and durable CO2‐to‐C2H4 conversion. ABSTRACT Copper‐based catalysts are promising for electrochemical CO2 reduction toward value‐added chemicals ...
Xueya Zhu +11 more
wiley +1 more source
State Space Modeling Using SAS
Journal of Statistical Software, 2011 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
Advanced Healthcare Materials, EarlyView.Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
State Space Methods in Ox/SsfPack
Journal of Statistical Software, 2011 The use of state space models and their inference is illustrated using the package SsfPack for Ox. After a rather long introduction that explains the use of SsfPack and many of its functions, four case-studies illustrate the practical implementation of ...
Matteo M. Pelagatti
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Measuring business cycles: Empirical evidence based on an unobserved component approach
Cogent Economics & Finance, 2019 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
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Advanced Materials, EarlyView.Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
A Simultaneous Unobserved Components Analysis of US Output and the Great Moderation [PDF]
In an unobserved components framework of US output trend and cycle, this paper seeks to determine the causal interaction between permanent and transitory innovations.
Weber, Enzo
core
Evolutionary Applications, 2019 Unobserved diversity, such as undetected genetic structure or the presence of cryptic species, is of concern for the conservation and management of global biodiversity in the face of threatening anthropogenic processes. For instance, unobserved diversity
Paolo Momigliano +4 more
doaj +1 more source