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. 1606.08650
  4. Cited By
Approximate Smoothing and Parameter Estimation in High-Dimensional
  State-Space Models
v1v2v3v4 (latest)

Approximate Smoothing and Parameter Estimation in High-Dimensional State-Space Models

28 June 2016
Axel Finke
Sumeetpal S. Singh
ArXiv (abs)PDFHTML

Papers citing "Approximate Smoothing and Parameter Estimation in High-Dimensional State-Space Models"

3 / 3 papers shown
Title
A divide and conquer sequential Monte Carlo approach to high dimensional
  filtering
A divide and conquer sequential Monte Carlo approach to high dimensional filtering
F. R. Crucinio
A. M. Johansen
51
3
0
25 Nov 2022
Exploiting locality in high-dimensional factorial hidden Markov models
Exploiting locality in high-dimensional factorial hidden Markov models
Lorenzo Rimella
N. Whiteley
53
6
0
05 Feb 2019
A Multi-Scan Labeled Random Finite Set Model for Multi-object State
  Estimation
A Multi-Scan Labeled Random Finite Set Model for Multi-object State Estimation
B. Vo
B. Vo
58
89
0
25 May 2018
1