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08/22/2023
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification
In many parameter estimation problems, the exact model is unknown and is...
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04/17/2023
Barankin-Type Bound for Constrained Parameter Estimation
In constrained parameter estimation, the classical constrained Cramer-Ra...
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02/13/2023
Efficient Graph Laplacian Estimation by a Proximal Newton Approach
The Laplacian-constrained Gaussian Markov Random Field (LGMRF) is a comm...
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02/10/2023
Quickest Inference of Susceptible-Infected Cascades in Sparse Networks
We consider the task of estimating a network cascade as fast as possible...
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09/23/2022
GSP-Based MAP Estimation of Graph Signals
In this paper, we consider the problem of recovering random graph signal...
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08/22/2022
Widely-Linear MMSE Estimation of Complex-Valued Graph Signals
In this paper, we consider the problem of recovering random graph signal...
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06/09/2022
Discriminative and Generative Learning for Linear Estimation of Random Signals [Lecture Notes]
Inference tasks in signal processing are often characterized by the avai...
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04/15/2019
Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation
In many practical parameter estimation problems, such as coefficient est...
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09/17/2018
Power Systems Topology and State Estimation by Graph Blind Source Separation
In this paper, we consider the problem of blind estimation of states and...
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02/07/2018
