Results 51 to 60 of about 2,865,465 (299)
Journal of Statistical Software, 2011 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
Bayesian analysis of output gap in Barbados
Latin American Journal of Central Banking, 2020 This article contributes to understanding the performance of various unobserved components (UC) models in fitting Barbados’ real GDP. Relying on recent UC models techniques, it finds support for the UC model that captures correlated disturbances, but not
Terence D. Agbeyegbe
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Total factor productivity: an unobserved components approach [PDF]
Applied Economics, 2008 This work examines the presence of unobserved components in the time-series of total factor productivity (TFP), which is an idea central to modern Macroeconomics. The main approaches in both the study of economic growth and the study of business cycles rely on certain properties of the different components of the time-series of TFP.
openaire +3 more sources
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Advanced Engineering Materials, EarlyView.Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Fad Models with Markov Switching Hetroskedasticity: Decomposing Tehran Stock Exchange Return into Permanent and Transitory Components [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2018 In this paper, the stochastic behavior of Tehran stock exchange return index (TEDPIX) is examined by using unobserved component Markov switching model (UC-MS) during the period 3/27/2010 - 8/3/2015.
Teimour Mohammadi +3 more
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TESTING STATIONARITY WITH UNOBSERVED-COMPONENTS MODELS [PDF]
Macroeconomic Dynamics, 2016 In the aftermath of the global financial crisis, competing measures of the trend in macroeconomic variables such as U.S. real GDP have featured prominently in policy debates. A key question is whether large shocks to macroeconomic variables will have permanent effects—i.e., in econometric terms, do the data contain stochastic trends?
Morley, James +2 more
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Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Advanced Functional Materials, EarlyView.Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Estimating the natural real interest rate in Lithuania: a semi-structural approach
Baltic Journal of EconomicsThis paper estimates the natural real interest rate ([Formula: see text]) for Lithuania over the period 2000–2025 and assesses the implied monetary policy conditions.
Žymantas Budrys, Giedrė Krotovaitė
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Detection of unobserved heterogeneity with growth mixture models
Revista de Matemática: Teoría y Aplicaciones, 2009 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
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Advanced Functional Materials, EarlyView.This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli +4 more
wiley +1 more source