Results 131 to 140 of about 29,182 (301)
Inferring network architecture from partial behavioral observations is central to computational studies of complex systems, with implications for detecting covert actors in terrorist networks, localizing unobserved brain regions, and revealing latent ...
Xiaoxiao Liang +2 more
doaj +1 more source
This paper examines whether randomized evaluations can fail to identify causal effects when outcomes include interactions between treatment and unobserved characteristics.
Shigeyuki Hamori
doaj +1 more source
Bootstrapping unobserved component models
En esta tesis, proponemos el uso de técnicas bootstrap para incorporar la incertidumbre de la estimación de los parámetros en modelos de componentes inobservados expresado en un contexto de modelos de espacio de los estados. A lo largo de los capítulos usamos simulaciones Monte Carlo y datos reales para mostrar los resultados de los procedimientos ...
openaire +2 more sources
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
An Unobserved Components Model of the Monetary Transmission Mechanism in a Closed Economy [PDF]
This paper develops and estimates an unobserved components model for purposes of monetary policy analysis in a closed economy. Cyclical components are modeled as a multivariate linear rational expectations model of the monetary transmission mechanism ...
Francis Vitek
core
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Estimating earnings trend using unobserved components framework
Regressions for predicting long-term stock returns often use moving averages of earnings as the earnings trend. We show that the earnings trend can be directly estimated using unobserved components models.
Basistha, Arabinda, Kurov, Alexander
core
Topics in unobserved components models
This dissertation deals with structural time series models. Structural time series models refer to a class of parametric models that are specified directly in terms of unobserved components which capture essential features of the series, such as trend, cycle and seasonality.
openaire +2 more sources
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
The impact of outliers on transitory and permanent components in macroeconomic time series [PDF]
In this paper we investigate the effect of the outliers on the decomposition of Nelson-Plosser macroeconomic data set into permanent and transitory components from structural time series models.
Amélie Charles, Olivier Darné
core

