M-estimation for linear models with exchangeable errors

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On a representation theorem for finitely exchangeable random vectors
Likelihood inference for exchangeable continuous data with covariates and varying cluster sizes; use of the Farlie-Gumbel-Morgenstern model
A mixed effects model for longitudinal relational and network data, with applications to international trade and conflict
A test of location for exchangeable multivariate normal data with unknown correlation
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École d'été de probabilités de Saint-Flour XIII - 1983
\(M\)-estimation of linear models with dependent errors
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Convergence of de Finetti's mixing measure in latent structure models for observed exchangeable sequences
A heuristic approach to combat multicollinearity in least trimmed squares regression analysis
Composite quantile estimation in partial functional linear regression model with dependent errors
A weighted central limit theorem
Two penalized mixed-integer nonlinear programming approaches to tackle multicollinearity and outliers effects in linear regression models
Linear Models with Doubly Exchangeable Distributed Errors
The Strong Consistency ofMEstimator in a Linear Model for Negatively Dependent Random Samples
Linear Models with Exchangeably Distributed Errors
Mathematical Statistics
On weak consistency in linear models with equi-correlated random errors
Computational Statistics
A Full Likelihood Procedure for Analysing Exchangable Binary Data
Convergence in mean and central limit theorems for weighted sums of martingale difference random vectors with infinite rth moments
An assumption-free exact test for fixed-design linear models with exchangeable errors
Inference for Linear Models with Dependent Errors
Robust Estimation of a Location Parameter
A Necessary and Sufficient Condition that Ordinary Least-Squares Estimators be Best Linear Unbiased
Probabilistic Symmetries and Invariance Principles
Regression of exchangeable relational arrays
An empirical comparison of various MSPE estimators and associated prediction intervals for small area means
A Robust Approach for Electronic Health Record–Based Case-Control Studies with Contaminated Case Pools
A robust counterpart approach for the ridge estimator to tackle outlier effect in restricted multicollinear regression models

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