Titlebook: Recent Advances in Robust Statistics: Theory and Applications; Claudio Agostinelli,Ayanendranath Basu,Diganta Muk Conference proceedings 2

leniency

On the Computation of Symmetrized M-Estimators of Scatter, as new computational approach based on using only a subset of pairwise differences. Efficiencies and computation time comparisons are made using simulation studies under multivariate elliptically symmetric models and under independent component models.

稀釋前

Mortality and Life Expectancy Forecasting for a Group of Populations in Developed Countries: A Robultilevel functional data method. For forecasting both age-specific mortality and life expectancy, the robust multilevel functional data method produces more accurate point and interval forecasts than the standard multilevel functional data method in the presence of outliers.

南極

招致

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大溝

Flexible Distributions as an Approach to Robustness: The Skew-, Case,ially of non-symmetric form, provide additional tools for this purpose. We discuss merits and limitations of this approach to robustness as compared with classical methodology. Operationally, we adopt the skew-. as the working family of distributions used to implement this line of thinking.

theta-waves

粗糙

Robust and Sparse Estimation of the Inverse Covariance Matrix Using Rank Correlation Measures,ions, the impact of outliers remains limited. In this paper, we study an estimator based on this rank correlation measure for estimating covariance matrices and their inverses. The resulting estimator is robust and consistent at the normal distribution. By applying the graphical lasso, the inverse c

Cubicle

Robust Mixture Regression Using Mixture of Different Distributions,ixture of normal-. distributions, and skew .-skew normal distributions. We obtain the maximum likelihood (ML) estimators for the parameters of interest using the expectation maximization (EM) algorithm. We give a simulation study and real data examples to illustrate the performance of the proposed e

繁忙

Robust Statistical Engineering by Means of Scaled Bregman Distances,end several known distance-based robustness (respectively, stability) methods at once. Numerous special cases are illustrated, including 3D computer graphical comparison methods. For the discrete case, some universally applicable results on the asymptotics of the underlying scaled-Bregman-distance t