Optimal Probability Weights for Inference With Constrained Precision

DOI10.1080/01621459.2017.1375932zbMath1402.62034OpenAlexW2760743788MaRDI QIDQ4559678

Michele Santacatterina, Matteo Bottai

Publication date: 4 December 2018

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2017.1375932

zbMATH Keywords

mathematical programmingnonlinear constrained optimizationweighted estimatorssampling weightsprobability weights

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Model-Assisted Estimation Through Random Forests in Finite Population Sampling ⋮ More Efficient Policy Learning via Optimal Retargeting

Uses Software

• Ipopt
• sbw
• ipw

Cites Work

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• Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
• On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
• The Effect of Estimating Weights in Weighted Least Squares
• Selected Works of Debabrata Basu
• Fitting regression models with response-biased samples
• Sampling Statistics
• A new approach to weighting and inference in sample surveys
• Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
• Weighting in survey analysis under informative sampling
• A unified approach to robust estimation in finite population sampling

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