Analysis of a heterogeneous functionally graded material with a spherical void exposed to time-dependent ramp-type heating according to the TPL heat conduction model. [PDF]
Megahid SF.
europepmc +1 more source
A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data
ABSTRACT This paper introduces a novel unit‐Lindley mixed‐effects model (NULMM) within the generalized linear mixed model (GLMM) framework, designed for analyzing correlated response variables bounded within the unit interval. Parameter estimation was conducted via maximum likelihood, using Laplace approximation and adaptive Gaussian‐ Hermite ...
Nirajan Bam +2 more
wiley +1 more source
Evaluation of collapsible deformation of foundation under rectangular load based on the improved binary medium model. [PDF]
Abbas N +6 more
europepmc +1 more source
Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data
ABSTRACT Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that links misaligned data to a continuous‐domain model through an iteratively linearised integration scheme implemented with the Integrated Nested Laplace Approximation (
Man Ho Suen, Mark Naylor, Finn Lindgren
wiley +1 more source
Robust Lifetime Estimation from HPGe Radiation-Sensor Time Series Using Pairwise Ratios and MFV Statistics. [PDF]
Golovko VV.
europepmc +1 more source
Forecasting With Machine Learning Shadow‐Rate VARs
ABSTRACT Interest rates are fundamental in macroeconomic modeling. Recent studies integrate the effective lower bound (ELB) into vector autoregressions (VARs). This paper studies shadow‐rate VARs by using interest rates as a latent variable near the ELB to estimate their shadow‐rate values.
Michael Grammatikopoulos
wiley +1 more source
A Study of the effect of eigenvalues on the Moore Gibson Thompson model under photoacoustic excitation of semiconductors. [PDF]
El-Dali A +3 more
europepmc +1 more source
A Comparison of Monte Carlo Based Marginal Likelihood Estimators
Comparison of marginal likelihood estimation methods. ABSTRACT Marginal likelihood plays a central role in Bayesian model comparison and hypothesis testing, but its computation is often challenging in practice. This article reviews recent Monte Carlo methods that rely on the availability of Markov chain Monte Carlo (MCMC) samples from the posterior and
Aolan Li +5 more
wiley +1 more source
Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operators. [PDF]
Li DS +6 more
europepmc +1 more source
Estimation of Daily Smoking Prevalence for Disaggregated Statistical Areas in Australia
ABSTRACT Motivated by the need to estimate prevalence at multiple disaggregated level hierarchies, rather than only one, this study extends widely used area‐level models in Bayesian and frequentist framework. We propose adding additional unstructured random effects at higher level disaggregated domains to the traditional models. Using our extension, we
Sumonkanti Das +4 more
wiley +1 more source

