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04/16/2023
Bayesian Unit-level Models for Longitudinal Survey Data under Informative Sampling: An Analysis of Expected Job Loss Using the Household Pulse Survey
The Household Pulse Survey (HPS), recently released by the U.S. Census B...
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04/06/2023
A Socio-Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All-Important
Many models for spatial and spatio-temporal data assume that "near thing...
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11/17/2022
Bayesian Hierarchical Models For Multi-type Survey Data Using Spatially Correlated Covariates Measured With Error
We introduce Bayesian hierarchical models for predicting high-dimensiona...
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09/04/2022
Conjugate Modeling Approaches for Small Area Estimation with Heteroscedastic Structure
Small area estimation has become an important tool in official statistic...
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06/24/2022
Bayesian Circular Lattice Filters for Computationally Efficient Estimation of Multivariate Time-Varying Autoregressive Models
Nonstationary time series data exist in various scientific disciplines, ...
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03/10/2022
A Look into the Problem of Preferential Sampling from the Lens of Survey Statistics
An evolving problem in the field of spatial and ecological statistics is...
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11/06/2020
A Bayesian Functional Data Model for Surveys Collected under Informative Sampling with Application to Mortality Estimation using NHANES
Functional data are often extremely high-dimensional and exhibit strong ...
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09/28/2020
A General Bayesian Model for Heteroskedastic Data with Fully Conjugate Full-Conditional Distributions
Models for heteroskedastic data are relevant in a wide variety of applic...
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09/25/2020
Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
Leveraging multivariate spatial dependence to improve the precision of e...
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09/16/2020
Computationally Efficient Deep Bayesian Unit-Level Modeling of Survey Data under Informative Sampling for Small Area Estimation
The topic of deep learning has seen a surge of interest in recent years ...
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09/11/2020
Computationally Efficient Bayesian Unit-Level Models for Non-Gaussian Data Under Informative Sampling
Statistical estimates from survey samples have traditionally been obtain...
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03/04/2020
Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks
Time series classification using novel techniques has experienced a rece...
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10/15/2019
Conjugate Bayesian Unit-level Modeling of Count Data Under Informative Sampling Designs
Unit-level models for survey data offer many advantages over their area-...
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08/27/2019
Unit Level Modeling of Survey Data for Small Area Estimation Under Informative Sampling: A Comprehensive Overview with Extensions
Model-based small area estimation is frequently used in conjunction with...
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04/27/2019
An R Package for Spatio-Temporal Change of Support
Spatio-temporal change of support (STCOS) methods are designed for stati...
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12/09/2018
Spatio-Temporal Models for Big Multinomial Data using the Conditional Multivariate Logit-Beta Distribution
We introduce a Bayesian approach for analyzing high-dimensional multinom...
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11/05/2018
A Bayesian Semiparametric Jolly-Seber Model with Individual Heterogeneity: An Application to Migratory Mallards at Stopover
We propose a Bayesian hierarchical Jolly-Seber model that can account fo...
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02/07/2018