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Virbickaitė, Audronė
17  Ergebnisse:
Personensuche X
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1

Modeling stock-oil co-dependence with Dynamic Stochastic MI..:

Nguyen, Hoang ; Virbickaitė, Audronė
Energy Economics.  124 (2023)  - p. 106738 , 2023
Link: https://doi.org/10.1016/..
 
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2

Bayesian predictive distributions of oil returns using mixe..:

Virbickaitė, Audronė ; Nguyen, Hoang ; Tran, Minh-Ngoc
Resources Policy.  86 (2023)  - p. 104167 , 2023
Link: https://doi.org/10.1016/..
 
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3

How Local tourism managers can benefit from national survey..:

Rosselló, Jaume ; Sansó, Andreu ; Virbickaitė, Audronė
Current Issues in Tourism.  24 (2021)  24 - p. 3433-3449 , 2021
Link: https://doi.org/10.1080/..
 
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4

Copula stochastic volatility in oil returns: Approximate Ba..:

Virbickaitė, Audronė ; Ausín, M. Concepción ; Galeano, Pedro
Energy Economics.  92 (2020)  - p. 104961 , 2020
Link: https://doi.org/10.1016/..
 
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5

Bayesian sequential stock return prediction through copulas:

Virbickaitė, Audronė ; Frey, Christoph ; Macedo, Demian N.
The Journal of Economic Asymmetries.  22 (2020)  - p. e00173 , 2020
Link: https://doi.org/10.1016/..
 
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6

Bayesian semiparametric Markov switching stochastic volatil..:

Virbickaitė, Audronė ; Lopes, Hedibert F.
Applied Stochastic Models in Business and Industry.  35 (2019)  4 - p. 978-997 , 2019
Link: https://doi.org/10.1002/..
 
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7

Particle learning for Bayesian semi-parametric stochastic v..:

Virbickaitė, Audronė ; Lopes, Hedibert F. ; Concepción Ausín, M..
Econometric Reviews.  38 (2019)  9 - p. 1007-1023 , 2019
Link: https://doi.org/10.1080/..
 
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8

A Bayesian non-parametric approach to asymmetric dynamic co..:

Virbickaitė, Audronė ; Ausín, M. Concepción ; Galeano, Pedro
Computational Statistics & Data Analysis.  100 (2016)  - p. 814-829 , 2016
Link: https://doi.org/10.1016/..
 
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9

BAYESIAN INFERENCE METHODS FOR UNIVARIATE AND MULTIVARIATE ..:

Virbickaite, Audrone ; Ausín, M. Concepción ; Galeano, Pedro
Journal of Economic Surveys.  29 (2013)  1 - p. 76-96 , 2013
Link: https://doi.org/10.1111/..
 
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10

Structured factor copulas for modeling the systemic risk of..:

Nguyen, Hoang ; Virbickaitė, Audronė ; Ausín, M. Concepción.
http://arxiv.org/abs/2401.03443.  , 2024
Link: http://arxiv.org/abs/240..
 
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11

Bayesian predictive distributions of oil returns using mixe..:

Virbickaite, Audrone ; Nguyen, Hoang ; Tran, Minh-Ngoc
Series: Working Paper.  , 2023
Link: http://hdl.handle.net/10..
 
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12

Modeling stock-oil co-dependence with Dynamic Stochastic MI..:

Nguyen, Hoang ; Virbickaite, Audrone
Series: Working Paper.  , 2022
Link: http://hdl.handle.net/10..
 
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13

Bayesian non-parametrics for time-varying volatility models:

Virbickaite, Audrone
http://hdl.handle.net/10016/20358.  , 2015
Link: http://hdl.handle.net/10..
 
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14

Bayesian Inference Methods for Univariate and Multivariate ..:

Virbickaitė, Audronė ; Ausín, M. Concepción ; Galeano, Pedro
http://arxiv.org/abs/1402.0346.  , 2014
Link: http://arxiv.org/abs/140..
 
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15

Particle learning for Bayesian non-parametric Markov Switch..:

Virbickaite, Audrone ; Lopes, Hedibert F ; Ausín Olivera, María Concepción.
UC3M Working papers. Statistics and Econometrics.  , 2014
Link: http://hdl.handle.net/10..
 
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