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Modeling Survey Time Series Data with Flow-Observed CARMA Processes
PM Joyce, TS McElroy - Journal of Official Statistics, 2024 - journals.sagepub.com
Published survey data often are delivered as estimates computed over an epoch of time.
Customers may desire to obtain survey estimates corresponding to epochs, or time points …
Customers may desire to obtain survey estimates corresponding to epochs, or time points …
Optimal conformal prediction for small areas
Existing methods for small-area data involve a trade-off between maintaining area-level
frequentist coverage rates and improving precision via the incorporation of indirect …
frequentist coverage rates and improving precision via the incorporation of indirect …
[PDF][PDF] Overcoming challenges associated with early bayesian state estimation of planted acres in the United States
B Nandram - Special Proceedings: Society of Statistics, Computing …, 2023 - ssca.org.in
National surveys in the United States have become expensive with low response rates, and
there is an abundance of administrative data (non-probability samples). Government …
there is an abundance of administrative data (non-probability samples). Government …
Nonlinear Fay-Herriot Models for Small Area Estimation Using Random Weight Neural Networks
PA Parker - Journal of Official Statistics, 2024 - journals.sagepub.com
Small area estimation models are critical for dissemination and understanding of important
population characteristics within sub-domains that often have limited sample size. The …
population characteristics within sub-domains that often have limited sample size. The …
Spatial change of support models for differentially private decennial census counts of persons by detailed race and ethnicity
Official statistical agencies have an obligation to protect the confidentiality of their
respondents. Traditionally, the task of disclosure avoidance (DA) has consisted of a variety …
respondents. Traditionally, the task of disclosure avoidance (DA) has consisted of a variety …
[КНИГА][B] Constrained Bayesian Inference for Density Estimation and Informative Bayesian Models
J Lee - 2022 - search.proquest.com
When we construct a Bayesian hierarchical model, we are required to specify a prior
distribution. There are some considerations when specifying the prior distribution, such as …
distribution. There are some considerations when specifying the prior distribution, such as …
[ОПИСАНИЕ][C] Evaluation of Bayesian Hierarchical Models of Differentially Private Data Based on an Approximate Data Model
KM Irimataa, AM Raima, R Janickia, JA Livseya… - URL: https://www. census …, 2022