# Maximum likelihood estimation for the tensor normal distribution: Algorithm, minimum sample size, and empirical bias and dispersion

**Type:** Papers  
**Canonical URL:** https://picoportal.org/library/papers/maximum-likelihood-estimation-for-the-tensor-normal-distribution-algorithm/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ameur M. Manceur,Pierre Dutilleul |
| Citations | 82 |
| DOI | 10.1016/j.cam.2012.09.017 |
| Fields | Engineering,Mathematics |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0377042712003810/pdf |
| OpenAlex ID | https://openalex.org/W2030434042 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Ameur M. Manceur](https://picoportal.org/library/researchers/ameur-m-manceur/)

## Paper journal

- [Journal of Computational and Applied Mathematics](https://picoportal.org/library/journals/journal-of-computational-and-applied-mathematics/)

## Paper primary topic

- [Mathematics](https://picoportal.org/library/topics/mathematics/)

## Paper topics

- [Tensor decomposition and applications](https://picoportal.org/library/topics/tensor-decomposition-and-applications/)
- [Advanced Adaptive Filtering Techniques](https://picoportal.org/library/topics/advanced-adaptive-filtering-techniques/)
- [Statistical Methods and Inference](https://picoportal.org/library/topics/statistical-methods-and-inference/)

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Source: PICO Portal — public research metadata, principally OpenAlex. See https://picoportal.org/library/sources/ for provenance and https://picoportal.org/library/methodology/ for what these figures mean.