Results 101 to 110 of about 31,702 (236)
Confidence Intervals for Price Discovery
ABSTRACT This paper discusses asymptotic and bootstrap confidence intervals for multivariate permanent‐transitory decompositions of cointegrated vector autoregressive I(1) systems, with a focus on price discovery. Alternative estimators of the permanent components are compared in terms of efficiency also under separable linear restrictions on the ...
Heino Bohn Nielsen +2 more
wiley +1 more source
Least Trimmed Squares: Cointegration and Outliers
ABSTRACT When applying the cointegrated autoregressive distributed lag model it is common to include indicator variables for outliers. This is often done in a somewhat ad hoc way. Least Trimmed Squares estimation provides a more systematic approach. This estimator is robust to a large number of outliers of many types.
Vanessa Berenguer‐Rico, Bent Nielsen
wiley +1 more source
Improvement of Pointwise Bounds for Eigenfunctions in the Quantum Completely Integrable System
On a compact n-dimensional Riemannian manifold without boundary (M,g), it is well-known that the L2-normalized Laplace eigenfunctions with semiclassical parameter h satisfy the universal L∞ growth bound of O(h1−n2)ash→0+. In the context of a quantum completely integrable system on M, which consists of n commuting self-adjoint pseudodifferential ...
openaire +1 more source
Abstract 3D digital evaluation of the periodontal and peri‐implant tissue, including CBCT, intraoral scanning, optical surface scanning, and ultrasonography, is being used in the clinical arena with increasing frequency. Thus, to validate the utilization of 3D digital analysis for this purpose, a critical evaluation of the reliability of digital ...
Yi Te Lin +5 more
wiley +1 more source
Spatial depth for data in metric spaces
Abstract We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located near (far away from) the bulk of the data distribution, allowing quantifying their centrality/outlyingness.
Joni Virta
wiley +1 more source
Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning
ABSTRACT Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), trained with morbidity data from respiratory diseases and exogenous variables such as per capita ...
Liliane Moreira Nery +6 more
wiley +1 more source
Semantic analysis of SNOMED CT concept co-occurrences in clinical documentation using MIMIC-IV. [PDF]
Noori A, Manda P.
europepmc +1 more source
Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti +2 more
wiley +1 more source
Atmospheric water vapor contribution to interannual variability of Northern Hemisphere summer heatwaves. [PDF]
Cao D, Lin H, Huang Y.
europepmc +1 more source
Nonlinear Response‐History Analyses of Masonry and Mixed Structures With HybriDFEM
ABSTRACT The hybrid discrete‐finite element (HybriDFEM) method, previously developed to perform static and modal analysis in discrete and coupled discrete‐finite element models, is extended to nonlinear response‐history analyses. The equations of motion for the HybriDFEM model are solved through various numerical time‐integration schemes, both explicit
Igor Bouckaert +2 more
wiley +1 more source

