Results 41 to 50 of about 335 (214)
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
The State Space Models Toolbox for MATLAB
Journal of Statistical Software, 2011 State Space Models (SSM) is a MATLAB toolbox for time series analysis by state space methods. The software features fully interactive construction and combination of models, with support for univariate and multivariate models, complex time-varying (dy ...
Jyh-Ying Peng, John A. D. Aston
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
doaj +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
doaj +1 more source
Martingale unobserved component models [PDF]
, 2015 AbstractThis chapter generalizes the familiar linear Gaussian unobserved component models or structural time series models to martingale unobserved component models. This generates forecasts whose rate of discounting of data is time-varying or local.
openaire +3 more sources
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
A Bayesian Analysis of Unobserved Component Models Using Ox
Journal of Statistical Software, 2011 This article details a Bayesian analysis of the Nile river flow data, using a similar state space model as other articles in this volume. For this data set, Metropolis-Hastings and Gibbs sampling algorithms are implemented in the programming language Ox.
Charles S. Bos
doaj
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
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source