M-estimators for models with a mix of discrete and continuous parameters
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Publication:6123490
DOI10.1007/s13171-023-00317-7OpenAlexW4386293583MaRDI QIDQ6123490
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Publication date: 4 March 2024
Published in: Sankhyā. Series A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13171-023-00317-7
asymptotic distributionlarge deviationsCOVID-19break-point analysisgeneralized estimating equation (GEE)
Cites Work
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- Diagnostic testing and evaluation of maximum likelihood models
- Central limit theorems and uniform laws of large numbers for arrays of random fields
- On spatial processes and asymptotic inference under near-epoch dependence
- Convexity and large deviations
- Concavity and estimation
- \(M\)-estimation of linear models with dependent errors
- Dominating points and the asymptotics of large deviations for random walk on \(R^ r\).
- Asymptotics of estimating equations under natural conditions.
- A note on Hammersley's estimator of an integer mean
- The sample average approximation method applied to stochastic routing problems: a computational study
- A functional version of the Birkhoff ergodic theorem for a normal integrand: A variational approach
- Necessary and sufficient conditions for consistency of generalized \(M\)- estimates
- Large deviations and strong mixing
- Statistical consistency and asymptotic normality for high-dimensional robust \(M\)-estimators
- Sample average approximation for stochastic nonconvex mixed integer nonlinear programming via outer-approximation
- Model Selection and Model Averaging
- A Unified Treatment of Integer Parameter Models
- A Uniform Law of Large Numbers for Dependent and Heterogeneous Data Processes
- Asymptotic Statistics
- Mathematical Statistics
- Convergence Analysis of Sample Average Approximation of Two-Stage Stochastic Generalized Equations
- Objective Priors for Discrete Parameter Spaces
- Testing with a nuisance parameter present only under the alternative: a score-based approach with application to segmented modelling
- A Note on Quantiles in Large Samples
- Estimation in discrete parameter models
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