A Weighted Bootstrap Procedure for Divergence Minimization Problems
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Publication:5283077
DOI10.1007/978-3-319-51313-3_1zbMath1366.62053OpenAlexW2528841777MaRDI QIDQ5283077
Publication date: 18 July 2017
Published in: Analytical Methods in Statistics (Search for Journal in Brave)
Full work available at URL: https://hal.sorbonne-universite.fr/hal-01376569/file/pdf.pdf
bootstrapoptimizationMonte Carlolarge deviationdivergenceweighted empirical measureconditional Sanov theorem
Asymptotic properties of parametric estimators (62F12) Bootstrap, jackknife and other resampling methods (62F40) Large deviations (60F10)
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Cites Work
- Divergences and duality for estimation and test under moment condition models
- Large deviations for bootstrapped empirical measures
- Empirical likelihood ratio confidence regions
- Natural real exponential families with cubic variance functions
- Empirical likelihood in some semiparametric models
- Parametric estimation and tests through divergences and the duality technique
- Reproducibility and natural exponential families with power variance functions
- Large deviation theorems for empirical probability measures
- Natural exponential families with quadratic variance functions
- Goodness-of-fit statistics for discrete multivariate data
- A rank statistics approach to the consistency of a general bootstrap
- Minimum Hellinger distance estimates for parametric models
- Efficiency versus robustness: The case for minimum Hellinger distance and related methods
- The weighted bootstrap
- Dual representation of \(\phi\)-divergences and applications.
- A Cramér type theorem for weighted random variables
- On robustness and efficiency of minimum divergence estimators
- Several Applications of Divergence Criteria in Continuous Families
- Estimation for Models Defined by Conditions on Their L-Moments
- Minimization of φ-divergences on sets of signed measures
- MEM pixel correlated solutions for generalized moment and interpolation problems
- Projections of probability measures
- Weighted Sampling, Maximum Likelihood and Minimum Divergence Estimators
- On the Probability of Large Deviations of Functions of Several Empirical CDF'S
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