Bootstrap adjustments of signed scoring rule root statistics
DOI10.1080/03610918.2017.1309427OpenAlexW2597589019MaRDI QIDQ5084785
Laura Ventura, Monica Musio, Valentina Mameli
Publication date: 28 June 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2017.1309427
robustnessasymptotic expansionsregression modelsparametric bootstrapTsallis scoring rulehigher-order inference
Multivariate distribution of statistics (62H10) Robustness and adaptive procedures (parametric inference) (62F35) Bootstrap, jackknife and other resampling methods (62F40) Asymptotic properties of parametric tests (62F05)
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- Proper local scoring rules
- Local proper scoring rules of order two
- Approximate Bayesian computational methods
- The geometry of proper scoring rules
- Higher-order asymptotics for scoring rules
- Accurate parametric inference for small samples
- A variational method for estimating the parameters of MRF from complete or incomplete data
- Expected information as ecpected utility
- Coherent dispersion criteria for optimal experimental design
- Bootstrapping pseudolikelihood models for clustered binary data
- Possible generalization of Boltzmann-Gibbs statistics.
- Theory and applications of proper scoring rules
- Simple and accurate one-sided inference from signed roots of likelihood ratios
- Minimum Scoring Rule Inference
- ROUTES TO HIGHER-ORDER ACCURACY IN PARAMETRIC INFERENCE
- Simple and accurate one-sided inference based on a class of M-estimators
- General Saddlepoint Approximations of Marginal Densities and Tail Probabilities
- Prepivoting Test Statistics: A Bootstrap View of Asymptotic Refinements
- Prepivoting to reduce level error of confidence sets
- Robust and efficient estimation by minimising a density power divergence
- Prepivoting by weighted bootstrap iteration
- Empirical and simulated adjustments of composite likelihood ratio statistics
- Strictly Proper Scoring Rules, Prediction, and Estimation
- An Optimum Property of Regular Maximum Likelihood Estimation
- Robust Statistics
- Stable Asymptotics for M‐estimators
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