Pages that link to "Item:Q3924961"
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The following pages link to Lower Rank Approximation of Matrices by Least Squares with Any Choice of Weights (Q3924961):
Displaying 50 items.
- Some new aspects of taxicab correspondence analysis (Q257666) (← links)
- Handling missing values with regularized iterative multiple correspondence analysis (Q263338) (← links)
- Graph partitioning by correspondence analysis and taxicab correspondence analysis (Q269116) (← links)
- Robust regularized singular value decomposition with application to mortality data (Q386741) (← links)
- Selecting the number of components in principal component analysis using cross-validation approximations (Q434968) (← links)
- Multiple taxicab correspondence analysis (Q484236) (← links)
- Another look at Bayesian analysis of AMMI models for genotype-environment data (Q486188) (← links)
- The incompleteness problem of the APT model (Q719016) (← links)
- Weighted estimation of AMMI and GGE models (Q725256) (← links)
- Weighted and robust learning of subspace representations (Q869051) (← links)
- Left vs, right representations for solving weighted low-rank approximation problems (Q875007) (← links)
- Sparse principal component analysis via regularized low rank matrix approximation (Q928846) (← links)
- L1-norm projection pursuit principal component analysis (Q959241) (← links)
- Use of multiple singular value decompositions to analyze complex intracellular calcium ion signals (Q965114) (← links)
- Robust centroid method (Q1010410) (← links)
- Reduced-rank models for interaction in unequally replicated two-way classifications (Q1116240) (← links)
- Structured total least squares and \(L_ 2\) approximation problems (Q1260787) (← links)
- Weighted least squares fitting using ordinary least squares algorithms (Q1362274) (← links)
- A gradual rank increasing process for matrix completion (Q1689449) (← links)
- Fast computation of robust subspace estimators (Q1727931) (← links)
- Commemoration of the bicentennial of the publication (1805--1806) of the least squares method by Adrien Marie Legendre (Q1732731) (← links)
- Block tensor train decomposition for missing data estimation (Q1757240) (← links)
- Multiple imputation in principal component analysis (Q1761307) (← links)
- Nearest neighbour approach in the least-squares data imputation algorithms (Q1763919) (← links)
- Practical matrix completion and corruption recovery using proximal alternating robust subspace minimization (Q1799934) (← links)
- \(M\)-type smoothing spline estimators for principal functions (Q1800118) (← links)
- Resistant lower rank approximation of matrices by iterative majorization (Q1896200) (← links)
- Multiple hypothesis testing adjusted for latent variables, with an application to the AGEMAP gene expression data (Q1940010) (← links)
- Comparisons among several methods for handling missing data in principal component analysis (PCA) (Q1999456) (← links)
- Nearest neighbours in least-squares data imputation algorithms with different missing patterns (Q2257590) (← links)
- A multivariate reduced-rank growth curve model with unbalanced data (Q2259979) (← links)
- Generalized structured component analysis (Q2259980) (← links)
- Forecasting time series of inhomogeneous Poisson processes with application to call center workforce management (Q2271338) (← links)
- Low-rank matrix approximation in the infinity norm (Q2273885) (← links)
- Principal component analysis with external information on both subjects and variables (Q2277715) (← links)
- Intraday forecasts of a volatility index: functional time series methods with dynamic updating (Q2288944) (← links)
- A weighted POD method for elliptic PDEs with random inputs (Q2333690) (← links)
- Robust low-rank data matrix approximations (Q2360958) (← links)
- A unifying theory of tests of rank (Q2397723) (← links)
- Logistic biplot for nominal data (Q2418308) (← links)
- A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis (Q2445788) (← links)
- Statistical inference based on robust low-rank data matrix approximation (Q2448728) (← links)
- Weighted norms in subspace-based methods for time series analysis (Q2955991) (← links)
- GBMs: GLMs with bilinear terms (Q3297923) (← links)
- Stability of principal component analysis studied by the bootstrap method (Q3785791) (← links)
- A robust biplot (Q4024618) (← links)
- An algorithm for weighted bilinear regression (Q4369381) (← links)
- On the Complexity of Robust PCA and <i>ℓ</i><sub>1</sub>-Norm Low-Rank Matrix Approximation (Q5219689) (← links)
- Nearest Neighbour in Least Squares Data Imputation Algorithms for Marketing Data (Q5270631) (← links)
- A Tale of Two Matrix Factorizations (Q5877140) (← links)
