Robust coefficients of correlation or spatial autocorrelation based on implicit weighting
From MaRDI portal
Publication:2111964
DOI10.1007/s42952-022-00184-2OpenAlexW4293103441WikidataQ114016618 ScholiaQ114016618MaRDI QIDQ2111964
Publication date: 17 January 2023
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s42952-022-00184-2
Cites Work
- Unnamed Item
- Asymptotically minimax bias estimation of the correlation coefficient for bivariate independent component distributions
- Semiparametrically weighted robust estimation of regression models
- Robust methods of estimation of correlation coefficients
- A robust coefficient of determination for regression
- The Moran coefficient for non-normal data
- Limit behavior of the empirical influence function of the median
- Minimax variance estimation of a correlation coefficient for \(\epsilon\)-contaminated bivariate normal distributions
- Robust and efficient estimation of multivariate scatter and location
- Implicitly weighted methods in robust image analysis
- Robust Correlation
- Duality and local sensitivity analysis in least squares, minimax, and least absolute values regressions
- Robust estimation and outlier detection with correlation coefficients
- Analysis of Correlated Data with SAS and R
- Robust Statistical Methods with R
- Applied Directional Statistics
- Multivariate extremes, aggregation and dependence in elliptical distributions
- Demystifying Statistical Learning Based on Efficient Influence Functions
- Instrumental weighted variables under heteroscedasticity, Part I -- Consistency
- An Equivalent Measure of Partial Correlation Coefficients for High-Dimensional Gaussian Graphical Models
- Linear Statistical Inference and its Applications
- Achieving near Perfect Classification for Functional Data
- NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
- Robust Statistics
- Analytic posteriors for Pearson's correlation coefficient
This page was built for publication: Robust coefficients of correlation or spatial autocorrelation based on implicit weighting