Copertina

Optimization of Survey Weights under a Large Number of Conflicting Constraints

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Williams, Matthew R., Savitsky, Terrance D.
Natura:	Preprint
Pubblicazione:	2019
Soggetti:	Computation Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Uncertainty Quantification for Multi-level Models Using the Survey-Weighted Pseudo-Posterior
di: Williams, Matthew R., et al.
Pubblicazione: (2025)

Privacy Amplification for Synthetic data using Range Restriction
di: Hu, Jingchen, et al.
Pubblicazione: (2026)

Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation
di: Savitsky, Terrance D., et al.
Pubblicazione: (2024)

Thresholding Nonprobability Units in Combined Data for Efficient Domain Estimation
di: Savitsky, Terrance D., et al.
Pubblicazione: (2025)

Derivation of outcome-dependent dietary patterns for low-income women obtained from survey data using a Supervised Weighted Overfitted Latent Class Analysis
di: Wu, Stephanie M., et al.
Pubblicazione: (2023)

Representative dietary behavior patterns and associations with cardiometabolic outcomes in Puerto Rico using a Bayesian latent class analysis for non-probability samples
di: Wu, Stephanie M., et al.
Pubblicazione: (2025)

Weighted Particle-Based Optimization for Efficient Generalized Posterior Calibration
di: Tanaka, Masahiro
Pubblicazione: (2024)

Optimal Exact Designs of Multiresponse Experiments under Linear and Sparsity Constraints
di: Filová, Lenka, et al.
Pubblicazione: (2025)

Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
di: Yang, Fuming, et al.
Pubblicazione: (2025)

Rejection Sampling with Vertical Weighted Strips
di: Raim, Andrew M., et al.
Pubblicazione: (2024)

Robust Principal Components by Casewise and Cellwise Weighting
di: Centofanti, Fabio, et al.
Pubblicazione: (2024)

Covariate Connectivity Combined Clustering for Weighted Networks
di: Hu, Zeyu, et al.
Pubblicazione: (2025)

Cross Validation for Penalized Quantile Regression with a Case-Weight Adjusted Solution Path
di: Tu, Shanshan, et al.
Pubblicazione: (2019)

Weighted shape-constrained estimation for the autocovariance sequence from a reversible Markov chain
di: Song, Hyebin, et al.
Pubblicazione: (2024)

Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
di: Shen, Yixin, et al.
Pubblicazione: (2025)

A Bayesian Dynamic Latent Space Model for Weighted Networks
di: Casarin, Roberto, et al.
Pubblicazione: (2026)

Enhancing Sample Quality through Minimum Energy Importance Weights
di: Huang, Chaofan, et al.
Pubblicazione: (2023)

A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
di: Korsurat, Suppapat, et al.
Pubblicazione: (2025)

Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict
di: Randahl, David, et al.
Pubblicazione: (2024)

ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families
di: Willwerscheid, Jason, et al.
Pubblicazione: (2021)

Scalable Efficient Inference in Complex Surveys through Targeted Resampling of Weights
di: Das, Snigdha, et al.
Pubblicazione: (2025)

Probability Weighted Clustered Coefficients Regression Models in Complex Survey Sampling
di: Gang, Mingjun, et al.
Pubblicazione: (2022)

Block-Additive Gaussian Processes under Monotonicity Constraints
di: Deronzier, M., et al.
Pubblicazione: (2024)

The Continuous Rank Probability Score of a Generalized Beta-Prime Distribution and Some Special Cases
di: LeDuc, Matthew
Pubblicazione: (2026)

Estimating the Optimal Linear Combination of Biomarkers using Spherically Constrained Optimization
di: Das, Priyam, et al.
Pubblicazione: (2019)

Control Variates for MCMC
di: South, Leah, et al.
Pubblicazione: (2024)

Calibration with Bagging of the Principal Components on a Large Number of Auxiliary Variables
di: Hasler, Caren, et al.
Pubblicazione: (2025)

Inference for Error-Prone Count Data: Estimation under a Binomial Convolution Framework
di: Yang, Yuqiu, et al.
Pubblicazione: (2025)

Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
di: Liu, Yucheng, et al.
Pubblicazione: (2024)

A systematic assessment of Large Language Models for constructing two-level fractional factorial designs
di: Vazquez, Alan R., et al.
Pubblicazione: (2025)

A General Approach for Calibration Weighting under Missing at Random
di: Kwon, Yonghyun, et al.
Pubblicazione: (2025)

Efficient GMM and Weighting Matrix under Misspecification
di: Kang, Byunghoon
Pubblicazione: (2026)

Differentially Private Verification of Survey-Weighted Estimates
di: Lin, Tong, et al.
Pubblicazione: (2024)

Multiple Imputation for Nonresponse in Complex Surveys Using Design Weights and Auxiliary Margins
di: Xu, Kewei, et al.
Pubblicazione: (2024)

A-optimal Designs under Generalized Linear Models
di: Yang, Yingying, et al.
Pubblicazione: (2025)

Conformalized Tensor Completion with Riemannian Optimization
di: Sun, Hu, et al.
Pubblicazione: (2024)

Efficient Tests for Testing in Two-way ANOVA under Heteroscedasticity
di: Mondal, Anjana, et al.
Pubblicazione: (2026)

MCMC for Bayesian nonparametric mixture modeling under differential privacy
di: Beraha, Mario, et al.
Pubblicazione: (2023)

A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
di: Huang, Hsin-Hsiung, et al.
Pubblicazione: (2026)

Geographically Weighted Canonical Correlation Analysis: Local Spatial Associations Between Two Sets of Variables
di: Jiao, Zhenzhi, et al.
Pubblicazione: (2026)