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Found 4 papers, 1 papers with code
Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models
In this paper, we study two well known methods of Ising structure learning, namely the pseudolikelihood approach and the interaction screening approach, in the context of tensor recovery in $k$-spin Ising models.
Estimation in Tensor Ising Models
In this paper, we consider the problem of estimating the natural parameter of the $p$-tensor Ising model given a single sample from the distribution on $N$ nodes.
Asymptotic bounds on graphical partitions and partition comparability
Key to our argument is an asymptotic result of Pittel characterizing the joint distribution of the first rows and columns of a uniformly random partition, combined with a characterization of graphical partitions due to Erd\H{o}s and Gallai.
Combinatorics Probability 05A16, 05A17, 11P82, 60C05
Least Squares Estimation of a Quasiconvex Regression Function
On the computational side, we prove the existence of the quasiconvex constrained least squares estimator (LSE) and provide a characterization of the function space to compute the LSE via a mixed integer quadratic programme.
Methodology Statistics Theory Applications Statistics Theory
