Variational Bayesian Filtering

Variational Bayesian Filtering is a Bayesian filtering method that approximates intractable posterior distributions by optimizing over a family of simpler distributions using variational inference principles.

309

Publications

15.5K

Citations

908

Authors

346

Institutions

Publications per year

2017–2026

179

Authors

908

  1. YZ
    Yonggang Zhang

    Harbin Engineering University, China

    20 publications · 2.8K citations

    20

    h-index

  2. YH
    Yulong Huang

    Harbin Engineering University, China

    19 publications · 2.7K citations

    19

    h-index

  3. JA
    Jonathon A. Chambers

    Newcastle University, United Kingdom

    11 publications · 2.3K citations

    11

    h-index

  4. GJ
    Guangle Jia

    Harbin Engineering University, China

    7 publications · 351 citations

    7

    h-index

  5. HL
    Henry Leung

    University of Calgary, Canada

    7 publications · 525 citations

    7

    h-index

1–5 of 908

Venues

  1. IEEE Transactions on Signal Processing

    20 publications · 1.2K citations

    18

    h-index

  2. IEEE Access

    11 publications · 280 citations

    11

    h-index

  3. IEEE Sensors Journal

    11 publications · 432 citations

    10

    h-index

  4. 10

    h-index

  5. Signal Processing

    9 publications · 287 citations

    9

    h-index

1–5