ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.11652
  4. Cited By
Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space
  Models

Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models

20 June 2023
Benjamin Cox
Victor Elvira
ArXivPDFHTML

Papers citing "Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models"

6 / 6 papers shown
Title
GraphGrad: Efficient Estimation of Sparse Polynomial Representations for
  General State-Space Models
GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models
Benjamin Cox
Émilie Chouzenoux
Victor Elvira
74
0
0
23 Nov 2024
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering
Itay Buchnik
G. Sagi
Nimrod Leinwand
Yuval Loya
Nir Shlezinger
T. Routtenberg
30
5
0
28 Nov 2023
Deep State-Space Model for Predicting Cryptocurrency Price
Deep State-Space Model for Predicting Cryptocurrency Price
Shalini Sharma
A. Majumdar
Émilie Chouzenoux
Victor Elvira
13
0
0
21 Nov 2023
Sparse Graphical Linear Dynamical Systems
Sparse Graphical Linear Dynamical Systems
Émilie Chouzenoux
Victor Elvira
17
7
0
06 Jul 2023
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity
  Characterization
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Kevin Bello
Bryon Aragam
Pradeep Ravikumar
48
78
0
16 Sep 2022
DAGs with No Fears: A Closer Look at Continuous Optimization for
  Learning Bayesian Networks
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
Dennis L. Wei
Tian Gao
Yue Yu
CML
48
71
0
18 Oct 2020
1