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Modeling Univariate and Multivariate Stochastic Volatility in R with
  stochvol and factorstochvol

Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol

28 June 2019
Darjus Hosszejni
G. Kastner
ArXivPDFHTML

Papers citing "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol"

7 / 7 papers shown
Title
The Bayesian Context Trees State Space Model for time series modelling
  and forecasting
The Bayesian Context Trees State Space Model for time series modelling and forecasting
I. Papageorgiou
Ioannis Kontoyiannis
AI4TS
25
2
0
02 Aug 2023
A Bayesian Survival Model for Time-Varying Coefficients and Unobserved
  Heterogeneity
A Bayesian Survival Model for Time-Varying Coefficients and Unobserved Heterogeneity
Peter Knaus
Daniel T. Winkler
G. Jomrich
13
1
0
22 Jun 2022
Variational Heteroscedastic Volatility Model
Variational Heteroscedastic Volatility Model
Zexuan Yin
P. Barucca
AI4TS
28
0
0
11 Apr 2022
Recurrent Conditional Heteroskedasticity
Recurrent Conditional Heteroskedasticity
T.-N. Nguyen
Minh-Ngoc Tran
Robert Kohn
BDL
11
11
0
25 Oct 2020
Shrinkage in the Time-Varying Parameter Model Framework Using the R
  Package shrinkTVP
Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP
Peter Knaus
Angela Bitto-Nemling
A. Cadonna
Sylvia Fruhwirth-Schnatter
11
20
0
16 Jul 2019
Sophisticated and small versus simple and sizeable: When does it pay off
  to introduce drifting coefficients in Bayesian VARs?
Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?
Martin Feldkircher
Luis Gruber
Florian Huber
G. Kastner
31
8
0
01 Nov 2017
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