Cover Image

Sampling distributions for complex design variance estimators in a Fay-Herriot model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	McGovern, Alana, Fuglstad, Geir-Arne, Wakefield, Jon
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Direct-Assisted Bayesian Unit-level Modeling for Small Area Estimation of Rare Event Prevalence
by: McGovern, Alana, et al.
Published: (2024)

The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
by: Wakefield, Jon, et al.
Published: (2021)

Non-stationary Spatial Modeling Using Fractional SPDEs
by: Svee, Elling, et al.
Published: (2025)

A joint model for DHS and MICS surveys: Spatial modeling with anonymized locations
by: Paige, John, et al.
Published: (2024)

Exact variance estimation for model-assisted survey estimators using U- and V-statistics
by: Dharamshi, Ameer, et al.
Published: (2025)

Non-stationary Spatio-Temporal Modeling Using the Stochastic Advection-Diffusion Equation
by: Berild, Martin Outzen, et al.
Published: (2024)

ARMA approximation of a Non-separable Spatio-Temporal Model with Fractional Smoothnesses in Space and Time
by: Furset, S. Knutsen, et al.
Published: (2026)

Space-Time Smoothing of Survey Outcomes using the R Package SUMMER
by: Li, Zehang Richard, et al.
Published: (2020)

Mean Squared Prediction Error Estimators of EBLUP of a Small Area Mean Under a Semi-Parametric Fay-Herriot Model
by: Chen, Shijie, et al.
Published: (2024)

Joint Modelling of Line and Point Data on Metric Graphs
by: Lilleborge, Karina, et al.
Published: (2025)

Optimized variance estimation under interference and complex experimental designs
by: Harshaw, Christopher, et al.
Published: (2021)

Small Area Estimation of Fertility in Low- and Middle-Income Countries
by: Wu, Yunhan, et al.
Published: (2025)

BARTSIMP: flexible spatial covariate modeling and prediction using Bayesian additive regression trees
by: Jiang, Alex Ziyu, et al.
Published: (2023)

Small Area Estimation Methods for Multivariate Health and Demographic Outcomes using Complex Survey Data
by: Schumacher, Austin E, et al.
Published: (2025)

Adding variances of independent probability distributions to estimate probabilities of replication
by: Llewelyn, Huw
Published: (2024)

Automatic Variance Adjustment for Small Area Estimation
by: Wakefield, Jon, et al.
Published: (2026)

Small Area Estimation of Education Levels in Low- and Middle-Income Countries
by: Wu, Yunhan, et al.
Published: (2025)

A Pseudo-likelihood Approach to Under-5 Mortality Estimation
by: Okonek, Taylor, et al.
Published: (2023)

Bayesian estimation of a multivariate TAR model when the noise process distribution belongs to the class of Gaussian variance mixtures
by: Vanegas, L. H., et al.
Published: (2025)

An adaptive variance estimator for relative sparsity
by: Weisenthal, Samuel Julian
Published: (2026)

Variational Autoencoded Multivariate Spatial Fay-Herriot Models
by: Wang, Zhenhua, et al.
Published: (2025)

The Efficiency of Bivariate Fay‐Herriot Small Area Estimators
by: Mossamet Kamrun Nesa, et al.
Published: (2025)

Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
by: Cheng, Si, et al.
Published: (2023)

Surrogate modeling for probability distribution estimation:uniform or adaptive design?
by: Su, Maijia, et al.
Published: (2024)

Scale Reliant Inference
by: Nixon, Michelle Pistner, et al.
Published: (2022)

Tail postcoloring in long-run variance estimation of time series
by: Liu, Xu, et al.
Published: (2026)

Do we need to estimate the variance in robust mean estimation?
by: Sun, Qiang
Published: (2021)

Estimating a function of the scale parameter in a gamma distribution with bounded variance
by: Hu, Jun, et al.
Published: (2023)

Tree-based methods for estimating heterogeneous model performance and model combining
by: Zhang, Ruotao, et al.
Published: (2025)

Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
by: Armillotta, Mirko, et al.
Published: (2023)

An unbiased rank-based estimator of the Mann-Whitney variance including the case of ties
by: Brunner, Edgar, et al.
Published: (2024)

High-dimensional estimation of quadratic variation based on penalized realized variance
by: Christensen, Kim, et al.
Published: (2021)

Empirical sandwich variance estimator for iterated conditional expectation g-computation
by: Zivich, Paul N, et al.
Published: (2023)

Asymptotics of predictive distributions driven by sample means and variances
by: Garelli, Samuele, et al.
Published: (2024)

From design of experiments to analysis of variance of multivariate data: a tutorial review on ANOVA simultaneous component analysis
by: Camacho, José, et al.
Published: (2026)

Sample size re-estimation in blinded hybrid-control design using inverse probability weighting
by: Kojima, Masahiro, et al.
Published: (2025)

Estimating the variance-covariance matrix of two-step estimates of latent variable models: A general simulation-based approach
by: Di Mari, Roberto, et al.
Published: (2025)

Spatial error models with heteroskedastic normal perturbations and joint modeling of mean and variance
by: Toloza, J. D., et al.
Published: (2024)

Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
by: Tamano, Hiroshi, et al.
Published: (2025)

Sampling depth trade-off in function estimation under a two-level design
by: Horiguchi, Akira, et al.
Published: (2023)