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Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal
  Stochastic Linear Mixing Model

Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model

25 June 2021
Rui Meng
K. Bouchard
    AI4TS
ArXivPDFHTML

Papers citing "Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model"

3 / 3 papers shown
Title
Spectral learning of Bernoulli linear dynamical systems models
Spectral learning of Bernoulli linear dynamical systems models
Iris R. Stone
Yotam Sagiv
Il Memming Park
Jonathan W. Pillow
29
1
0
03 Mar 2023
Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei
Joel Ye
D. Zoltowski
Anqi Wu
Raeed H. Chowdhury
...
L. Miller
Jonathan W. Pillow
Il Memming Park
Eva L. Dyer
C. Pandarinath
50
86
0
09 Sep 2021
Stochastic Collapsed Variational Inference for Structured Gaussian
  Process Regression Network
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network
Rui Meng
Herbert Lee
K. Bouchard
11
2
0
01 Jun 2021
1