Corpus ID: 221376956

# Estimation in Tensor Ising Models

@article{Mukherjee2020EstimationIT,
title={Estimation in Tensor Ising Models},
author={S. Mukherjee and J. Son and B. Bhattacharya},
journal={arXiv: Statistics Theory},
year={2020}
}
• Published 2020
• Mathematics
• arXiv: Statistics Theory
• The $p$-tensor Ising model is a one-parameter discrete exponential family for modeling dependent binary data, where the sufficient statistic is a multi-linear form of degree $p \geq 2$. This is a natural generalization of the matrix Ising model, that provides a convenient mathematical framework for capturing higher-order dependencies in complex relational data. In this paper, we consider the problem of estimating the natural parameter of the $p$-tensor Ising model given a single sample from the… CONTINUE READING

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