Regression analysis: likelihood, error and entropy
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Publication:1739032
DOI10.1007/s10107-018-1256-6zbMath1421.90096OpenAlexW2793316234MaRDI QIDQ1739032
Bogdan Grechuk, Michael Zabarankin
Publication date: 24 April 2019
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2381/41459
Convex programming (90C25) Applications of mathematical programming (90C90) Stochastic programming (90C15)
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- A Mathematical Theory of Communication
- CVaR (superquantile) norm: stochastic case
- On the least trimmed squares estimator
- Random variables, monotone relations, and convex analysis
- High-dimensional generalizations of asymmetric least squares regression and their applications
- The use of mixtures for dealing with non-normal regression errors
- A uniqueness result for \(L\)-estimators, with applications to \(L\)-moments
- Sparse least trimmed squares regression for analyzing high-dimensional large data sets
- Statistical consistency and asymptotic normality for high-dimensional robust \(M\)-estimators
- Statistical decision problems. Selected concepts and portfolio safeguard case studies
- Generalized deviations in risk analysis
- Inverse portfolio problem with mean-deviation model
- Risk Tuning with Generalized Linear Regression
- Maximum Entropy Principle with General Deviation Measures
- Least Median of Squares Regression
- Law invariant risk measures have the Fatou property
- The Method of Least Squares and Some Alternatives: Part I
- Note on the generation of most probable frequency distributions
- Regression Quantiles
- Large Dimensional Analysis of Robust M-Estimators of Covariance With Outliers
- Sensitivity Analysis in Applications with Deviation, Risk, Regret, and Error Measures
- SCHUR CONVEX FUNCTIONALS: FATOU PROPERTY AND REPRESENTATION
- Robust hypothesis tests for M-estimators with possibly non-differentiable estimating functions
- Measures of Residual Risk with Connections to Regression, Risk Tracking, Surrogate Models, and Ambiguity
- CHEBYSHEV INEQUALITIES WITH LAW-INVARIANT DEVIATION MEASURES
- Higher moment coherent risk measures
- Robust Estimation of a Location Parameter
- On Information and Sufficiency
- NON-NORMALITY AND TESTS ON VARIANCES
- Robust Statistics
- Stochastic finance. An introduction in discrete time
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