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07/03/2023
Limit Theorems and Phase Transitions in the Tensor Curie-Weiss Potts Model
In this paper, we derive results about the limiting distribution of the ...
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04/02/2023
Tensor Recovery in High-Dimensional Ising Models
The k-tensor Ising model is an exponential family on a p-dimensional bin...
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10/14/2022
Consistent Causal Inference from Time Series with PC Algorithm and its Time-Aware Extension
The estimator of a causal directed acyclic graph (DAG) with the PC algor...
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10/07/2021
High Dimensional Logistic Regression Under Network Dependence
Logistic regression is one of the most fundamental methods for modeling ...
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09/24/2021
Bahadur Efficiency in Tensor Curie-Weiss Models
The tensor Ising model is a discrete exponential family used for modelin...
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08/28/2021
Feature Selection in High-dimensional Space Using Graph-Based Methods
High-dimensional feature selection is a central problem in a variety of ...
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08/27/2021
Limit theorems for dependent combinatorial data, with applications in statistical inference
The Ising model is a celebrated example of a Markov random field, introd...
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08/29/2020
Estimation in Tensor Ising Models
The p-tensor Ising model is a one-parameter discrete exponential family ...
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05/07/2020
Phase Transitions of the Maximum Likelihood Estimates in the p-Spin Curie-Weiss Model
In this paper we consider the problem of parameter estimation in the p-s...
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05/07/2020
Phase Transitions of the Maximum Likelihood Estimates in the Tensor Curie-Weiss Model
The p-tensor Curie-Weiss model is a two-parameter discrete exponential f...
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03/09/2020
Least Squares Estimation of a Monotone Quasiconvex Regression Function
We develop a new approach for the estimation of a multivariate function ...
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06/11/2019
Distribution-Free Multisample Test Based on Optimal Matching with Applications to Single Cell Genomics
In this paper we propose a nonparametric graphical test based on optimal...
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06/16/2018