The following pages link to Robust Methods for Data Reduction (Q4982973):
Displaying 41 items.
- Linear quantile regression models for longitudinal experiments: an overview (Q497095) (← links)
- The main contributions of robust statistics to statistical science and a new challenge (Q824961) (← links)
- Robust estimation for multivariate wrapped models (Q824974) (← links)
- A plug-in approach to sparse and robust principal component analysis (Q1694017) (← links)
- A reweighting approach to robust clustering (Q1702028) (← links)
- Robust, fuzzy, and parsimonious clustering, based on mixtures of factor analyzers (Q1748531) (← links)
- Weighted likelihood latent class linear regression (Q2059118) (← links)
- Robust fitting of mixtures of GLMs by weighted likelihood (Q2125729) (← links)
- Estimation and computations for Gaussian mixtures with uniform noise under separation constraints (Q2152202) (← links)
- An impartial trimming approach for joint dimension and sample reduction (Q2220706) (← links)
- Weighted likelihood estimation of multivariate location and scatter (Q2273177) (← links)
- Exact algorithms for two integer-valued problems of searching for the largest subset and longest subsequence (Q2294598) (← links)
- Weighted likelihood mixture modeling and model-based clustering (Q2302489) (← links)
- Robust Bayesian seemingly unrelated regression model (Q2319484) (← links)
- The power of monitoring: how to make the most of a contaminated multivariate sample (Q2324275) (← links)
- The power of (extended) monitoring in robust clustering. Discussion of ``The power of monitoring: how to make the most of a contaminated multivariate sample'' (Q2324279) (← links)
- Outlyingness: which variables contribute most? (Q2329793) (← links)
- Randomized algorithms for some hard-to-solve problems of clustering a finite set of points in Euclidean space (Q2332640) (← links)
- Robust mixture multivariate linear regression by multivariate Laplace distribution (Q2407517) (← links)
- A fuzzy approach to robust regression clustering (Q2418336) (← links)
- Thinning out redundant empirical data (Q2468362) (← links)
- Robust model-based clustering with mild and gross outliers (Q2665787) (← links)
- (Q2766915) (← links)
- How to Marry Robustness and Applied Statistics (Q2963075) (← links)
- (Q4057933) (← links)
- (Q4218419) (← links)
- Data reduction techniques and hypothesis testing for analysis of benchmarking data (Q4497009) (← links)
- (Q4525471) (← links)
- Wild adaptive trimming for robust estimation and cluster analysis (Q4629281) (← links)
- Latent class recapture models with flexible behavioural response (Q4965719) (← links)
- Multiple scaled contaminated normal distribution and its application in clustering (Q5006013) (← links)
- NP-hardness of some data cleaning problem (Q5100127) (← links)
- Outlier-free merging of homogeneous groups of pre-classified observations under contamination (Q5106986) (← links)
- Robust inference for parsimonious model-based clustering (Q5107332) (← links)
- Polynomial-Time Approximation Scheme for a Problem of Searching for the Largest Subset with the Constraint on Quadratic Variation (Q5122318) (← links)
- Comments on: ``Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination'' (Q5965749) (← links)
- Discussion of: ``The power of monitoring: how to make the most of a contaminated multivariate sample'' (Q5971028) (← links)
- Robust approaches to redundancy analysis (Q6060901) (← links)
- Consistency factor for the MCD estimator at the Student-\(t\) distribution (Q6089185) (← links)
- Robust inference for non-linear regression models from the Tsallis score: application to coronavirus disease 2019 Contagion in Italy (Q6541609) (← links)
- Co-clustering contaminated data: a robust model-based approach (Q6552952) (← links)
