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Sparse Bayesian time-varying covariance estimation in many dimensions

Sparse Bayesian time-varying covariance estimation in many dimensions

30 August 2016
G. Kastner
ArXivPDFHTML

Papers citing "Sparse Bayesian time-varying covariance estimation in many dimensions"

7 / 7 papers shown
Title
Generalized Cumulative Shrinkage Process Priors with Applications to
  Sparse Bayesian Factor Analysis
Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysis
Sylvia Frühwirth-Schnatter
14
16
0
01 Mar 2023
High-Dimensional Conditionally Gaussian State Space Models with Missing
  Data
High-Dimensional Conditionally Gaussian State Space Models with Missing Data
J. Chan
Aubrey Poon
Dan Zhu
30
11
0
07 Feb 2023
Covariance Structure Estimation with Laplace Approximation
Covariance Structure Estimation with Laplace Approximation
Bongjung Sung
Jaeyong Lee
CML
22
1
0
04 Nov 2021
Dynamic sparsity on dynamic regression models
Dynamic sparsity on dynamic regression models
Paloma W. Uribe
H. Lopes
16
17
0
29 Sep 2020
Modeling Univariate and Multivariate Stochastic Volatility in R with
  stochvol and factorstochvol
Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol
Darjus Hosszejni
G. Kastner
19
50
0
28 Jun 2019
Efficient Bayesian inference for nonlinear state space models with
  univariate autoregressive state equation
Efficient Bayesian inference for nonlinear state space models with univariate autoregressive state equation
A. Kreuzer
C. Czado
13
4
0
27 Feb 2019
Sparse Bayesian vector autoregressions in huge dimensions
Sparse Bayesian vector autoregressions in huge dimensions
G. Kastner
Florian Huber
35
92
0
11 Apr 2017
1