Keywords
Affiliated Institutions
Related Publications
Cross-Validatory Choice of the Number of Components From a Principal Component Analysis
A method is described for choosing the number of components to retain in a principal component analysis when the aim is dimensionality reduction. The correspondence between prin...
Tensor Decompositions and Applications
This survey provides an overview of higher-order tensor decompositions, their applications, and available software. A tensor is a multidimensional or N-way array. Decompositions...
Principal component analysis
Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative d...
A fast non-negativity-constrained least squares algorithm
In this paper a modification of the standard algorithm for non-negativity-constrained linear least squares regression is proposed. The algorithm is specifically designed for use...
Maximum likelihood fitting using ordinary least squares algorithms
Abstract In this paper a general algorithm is provided for maximum likelihood fitting of deterministic models subject to Gaussian‐distributed residual variation (including any t...
Publication Info
- Year
- 1998
- Type
- article
- Volume
- 42
- Issue
- 1-2
- Pages
- 125-139
- Citations
- 155
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1016/s0169-7439(98)00031-8