Results 181 to 190 of about 90,668 (272)

A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data

open access: yesEnvironmetrics, Volume 37, Issue 2, March 2026.
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

Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data

open access: yesEnvironmetrics, Volume 37, Issue 2, March 2026.
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

Forecasting With Machine Learning Shadow‐Rate VARs

open access: yesJournal of Forecasting, Volume 45, Issue 2, Page 770-786, March 2026.
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 Comparison of Monte Carlo Based Marginal Likelihood Estimators

open access: yesWIREs Computational Statistics, Volume 18, Issue 1, March 2026.
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

Estimation of Daily Smoking Prevalence for Disaggregated Statistical Areas in Australia

open access: yesAustralian &New Zealand Journal of Statistics, Volume 68, Issue 1, March 2026.
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

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