Gregor Kastner : Citation Profile


Are you Gregor Kastner?

8

H index

8

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429

Citations

RESEARCH PRODUCTION:

7

Articles

18

Papers

RESEARCH ACTIVITY:

   12 years (2011 - 2023). See details.
   Cites by year: 35
   Journals where Gregor Kastner has often published
   Relations with other researchers
   Recent citing documents: 59.    Total self citations: 20 (4.45 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pka1304
   Updated: 2024-01-16    RAS profile: 2023-05-10    
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Relations with other researchers


Works with:

Huber, Florian (4)

Rezitis, Anthony (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Gregor Kastner.

Is cited by:

Huber, Florian (104)

Pfarrhofer, Michael (56)

Koop, Gary (27)

Hauzenberger, Niko (20)

Feldkircher, Martin (19)

Chan, Joshua (18)

Piribauer, Philipp (14)

Mitchell, James (14)

Nguyen, Hoang (14)

Boeck, Maximilian (12)

GUPTA, RANGAN (12)

Cites to:

Shephard, Neil (27)

Korobilis, Dimitris (25)

Koop, Gary (24)

Nakajima, Jouchi (17)

Rossi, Peter (15)

Huber, Florian (12)

Omori, Yasuhiro (12)

Feldkircher, Martin (9)

Clark, Todd (8)

Bollerslev, Tim (7)

Geweke, John (7)

Main data


Where Gregor Kastner has published?


Working Papers Series with more than one paper published# docs
Papers / arXiv.org12
Department of Economics Working Papers / Vienna University of Economics and Business, Department of Economics2
Department of Economics Working Paper Series / WU Vienna University of Economics and Business2

Recent works citing Gregor Kastner (2024 and 2023)


YearTitle of citing document
2041Biofuels: review of policies and impacts. (2041). Krištoufek, Ladislav ; Janda, Karel ; Zilberman, David. In: CUDARE Working Papers. RePEc:ags:ucbecw:120415.

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2023A Sieve-SMM Estimator for Dynamic Models. (2019). Forneron, Jean-Jacques. In: Papers. RePEc:arx:papers:1902.01456.

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2023Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods. (2020). Huber, Florian ; Koop, Gary ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2005.03906.

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2023Sparse time-varying parameter VECMs with an application to modeling electricity prices. (2020). Pfarrhofer, Michael ; Hauzenberger, Niko ; Rossini, Luca. In: Papers. RePEc:arx:papers:2011.04577.

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2023Bayesian Modeling of Time-varying Parameters Using Regression Trees. (2022). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2209.11970.

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2023Efficient variational approximations for state space models. (2022). Nibbering, Didier ; Loaiza-Maya, Rub'En. In: Papers. RePEc:arx:papers:2210.11010.

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2023Enhanced Bayesian Neural Networks for Macroeconomics and Finance. (2022). Marcellino, Massimiliano ; Klieber, Karin ; Huber, Florian ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2211.04752.

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2023Bayesian Forecasting in the 21st Century: A Modern Review. (2022). Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Maneesoonthorn, Worapree ; Frazier, David T ; Martin, Gael M ; Panagiotelis, Anastasios ; Nibbering, Didier ; Maheu, John . In: Papers. RePEc:arx:papers:2212.03471.

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2023When it counts -- Econometric identification of the basic factor model based on GLT structures. (2023). Lopes, Hedibert Freitas ; Hosszejni, Darjus ; Fruhwirth-Schnatter, Sylvia. In: Papers. RePEc:arx:papers:2301.06354.

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2023Sequential Bayesian Learning for Hidden Semi-Markov Models. (2023). Kalogeropoulos, Konstantinos ; Aschermayr, Patrick. In: Papers. RePEc:arx:papers:2301.10494.

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2023Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model. (2023). Simsek, Yasin ; Cakmakli, Cem. In: Papers. RePEc:arx:papers:2301.13692.

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2023High-Dimensional Conditionally Gaussian State Space Models with Missing Data. (2023). Zhu, Dan ; Poon, Aubrey. In: Papers. RePEc:arx:papers:2302.03172.

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2023Sequential Estimation of Multivariate Factor Stochastic Volatility Models. (2023). Calzolari, Giorgio ; Mucher, Christian ; Halbleib, Roxana. In: Papers. RePEc:arx:papers:2302.07052.

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2023A tale of two tails: 130 years of growth-at-risk. (2023). Huber, Florian ; Hasler, Elias ; Gachter, Martin. In: Papers. RePEc:arx:papers:2302.08920.

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2023Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysis. (2023). Fruhwirth-Schnatter, Sylvia. In: Papers. RePEc:arx:papers:2303.00473.

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2023Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks. (2023). Huber, Florian ; Koop, Gary. In: Papers. RePEc:arx:papers:2305.16827.

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2023The Bayesian Context Trees State Space Model for time series modelling and forecasting. (2023). Kontoyiannis, Ioannis ; Papageorgiou, Ioannis. In: Papers. RePEc:arx:papers:2308.00913.

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2023Introducing the $\sigma$-Cell: Unifying GARCH, Stochastic Fluctuations and Evolving Mechanisms in RNN-based Volatility Forecasting. (2023). Antulov-Fantulin, Nino ; Rodikov, German. In: Papers. RePEc:arx:papers:2309.01565.

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2023Non-linear dimension reduction in factor-augmented vector autoregressions. (2023). Klieber, Karin. In: Papers. RePEc:arx:papers:2309.04821.

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2023BVARs and Stochastic Volatility. (2023). Chan, Joshua. In: Papers. RePEc:arx:papers:2310.14438.

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2023Bayesian SAR model with stochastic volatility and multiple time-varying weights. (2023). Iacopini, Matteo ; Costola, Michele ; Wichers, Casper. In: Papers. RePEc:arx:papers:2310.17473.

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2023Time-Varying Identification of Monetary Policy Shocks. (2023). Wo, Tomasz ; Camehl, Annika. In: Papers. RePEc:arx:papers:2311.05883.

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2023Predictive Density Combination Using a Tree-Based Synthesis Function. (2023). Huber, Florian ; Chernis, Tony ; Mitchell, James ; Koop, Gary ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2311.12671.

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2023From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks. (2023). Frenette, Mikael ; Coulombe, Philippe Goulet ; Klieber, Karin. In: Papers. RePEc:arx:papers:2311.16333.

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2023.

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2023Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis. (2023). Chernis, Tony. In: Staff Working Papers. RePEc:bca:bocawp:23-45.

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2023Climate risks and U.S. stock?market tail risks: A forecasting experiment using over a century of data. (2023). Salisu, Afees ; van Eyden, Renee ; Gupta, Rangan ; Pierdzioch, Christian. In: International Review of Finance. RePEc:bla:irvfin:v:23:y:2023:i:2:p:228-244.

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2023.

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2023Vector autoregression models with skewness and heavy tails. (2023). Karlsson, Sune ; Nguyen, Hoang ; Mazur, Stepan. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:146:y:2023:i:c:s0165188922002834.

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2023Comparing stochastic volatility specifications for large Bayesian VARs. (2023). Chan, Joshua. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1419-1446.

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2023High-dimensional conditionally Gaussian state space models with missing data. (2023). Poon, Aubrey ; Chan, Joshua ; Zhu, Dan. In: Journal of Econometrics. RePEc:eee:econom:v:236:y:2023:i:1:s0304407623001628.

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2023Measuring macroeconomic uncertainty: A cross-country analysis. (2023). Dibiasi, Andreas ; Sarferaz, Samad. In: European Economic Review. RePEc:eee:eecrev:v:153:y:2023:i:c:s0014292123000120.

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2023When “time varying” volatility meets “transaction cost” in portfolio selection. (2023). Li, E ; Wen, T ; Liao, Y ; Gibberd, A ; Bu, D ; Qiao, W. In: Journal of Empirical Finance. RePEc:eee:empfin:v:73:y:2023:i:c:p:220-237.

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2023The money-inflation nexus revisited. (2023). Zorner, Thomas O ; Ringwald, Leopold. In: Journal of Empirical Finance. RePEc:eee:empfin:v:73:y:2023:i:c:p:293-333.

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2023Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models. (2023). Virbickait, Audron ; Nguyen, Hoang. In: Energy Economics. RePEc:eee:eneeco:v:124:y:2023:i:c:s0140988323002360.

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2023Predictability of economic slowdowns in advanced countries over eight centuries: The role of climate risks. (2023). Salisu, Afees ; Ji, Qiang ; Nel, Jacobus ; Gupta, Rangan. In: Finance Research Letters. RePEc:eee:finlet:v:54:y:2023:i:c:s154461232300168x.

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2023European stock market volatility connectedness: The role of country and sector membership. (2023). Uribe, Jorge ; Guillen, Montserrat ; Vidal-Llana, Xenxo. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:82:y:2023:i:c:s1042443122001688.

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2023Real-time inflation forecasting using non-linear dimension reduction techniques. (2023). Huber, Florian ; Klieber, Karin ; Hauzenberger, Niko. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:901-921.

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2023Bayesian forecast combination using time-varying features. (2023). Li, Feng ; Kang, Yanfei. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1287-1302.

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2023Covariance structure estimation with Laplace approximation. (2023). Lee, Jaeyong ; Sung, Bongjung. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:198:y:2023:i:c:s0047259x23000714.

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2023Bayesian Modeling of Time-Varying Parameters Using Regression Trees. (2023). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko. In: Working Papers. RePEc:fip:fedcwq:95470.

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2023Predictive Density Combination Using a Tree-Based Synthesis Function. (2023). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko ; Chernis, Tony. In: Working Papers. RePEc:fip:fedcwq:97343.

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2023A Bayesian approach for the determinants of bitcoin returns. (2023). Stengos, Thanasis ; Papapanagiotou, Georgios ; Panagiotidis, Theodore. In: Working Papers. RePEc:gue:guelph:2023-02.

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2023Bayesian Predictive Distributions of Oil Returns Using Mixed Data Sampling Volatility Models. (2023). Tran, Minh-Ngoc ; Nguyen, Hoang ; Virbickaite, Audrone. In: Working Papers. RePEc:hhs:oruesi:2023_007.

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2023Financial and economic uncertainties and their effects on the economy. (2023). Hlouskova, Jaroslava ; Sogner, Leopold ; Fortin, Ines. In: Empirica. RePEc:kap:empiri:v:50:y:2023:i:2:d:10.1007_s10663-023-09570-3.

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2023A Bayesian approach for the determinants of bitcoin returns. (2023). Stengos, Thanasis ; Panagiotidis, Theodore ; Papapanagiotou, Georgios. In: Discussion Paper Series. RePEc:mcd:mcddps:2023_05.

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2023Bayesian Forecasting in the 21st Century: A Modern Review. (2023). Maheu, John ; Panagiotelis, Anastasios ; Nibbering, Didier ; Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Frazier, David T ; Martin, Gael M. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2023-1.

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2023The Role of Inflation Targeting in Anchoring Long-Run Inflation Expectations: Evidence from India. (2023). Pratap, Bhanu ; Kishor, Kundan N. In: MPRA Paper. RePEc:pra:mprapa:118951.

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2023Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models. (2023). Ravishanker, Nalini ; Chen, Ming-Hui ; Hu, Guanyu. In: Computational Statistics. RePEc:spr:compst:v:38:y:2023:i:2:d:10.1007_s00180-022-01266-9.

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2023Modelling Okun’s law: Does non-Gaussianity matter?. (2023). Österholm, Pär ; Kiss, Tamas ; Osterholm, Par ; Nguyen, Hoang. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:5:d:10.1007_s00181-022-02309-2.

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2023Small open economies and external shocks: an application of Bayesian global vector autoregression model. (2023). Abubakar, Jamaladeen ; Bashir, Nafiu A ; Onipede, Samuel F. In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01423-8.

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2023Wavelet-L2E Stochastic Volatility Models: an Application to the Water-Energy Nexus. (2023). Ensor, Katherine B ; Raath, Kim C. In: Sankhya B: The Indian Journal of Statistics. RePEc:spr:sankhb:v:85:y:2023:i:1:d:10.1007_s13571-022-00292-3.

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2023Bayesian Modelling of TVP-VARs Using Regression Trees. (2023). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko. In: Working Papers. RePEc:str:wpaper:2308.

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2023Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks. (2023). Koop, Gary ; Huber, Florian. In: Working Papers. RePEc:str:wpaper:2309.

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2023TAIL FORECASTING WITH MULTIVARIATE BAYESIAN ADDITIVE REGRESSION TREES. (2023). Pfarrhofer, Michael ; Marcellino, Massimiliano ; Koop, Gary ; Huber, Florian ; Clark, Todd E. In: International Economic Review. RePEc:wly:iecrev:v:64:y:2023:i:3:p:979-1022.

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2023Modeling the relation between the US real economy and the corporate bond?yield spread in Bayesian VARs with non?Gaussian innovations. (2023). Österholm, Pär ; Osterholm, Par ; Nguyen, Hoang ; Mazur, Stepan ; Kiss, Tamas. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:2:p:347-368.

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2023Real?time forecasting of the Australian macroeconomy using flexible Bayesian VARs. (2023). Zhang, BO ; Nguyen, Bao ; Hou, Chenghan. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:2:p:418-451.

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2023Bayesian SAR model with stochastic volatility and multiple time-varying weights. (2023). Iacopini, Matteo ; Costola, Michele ; Wichers, Casper. In: SAFE Working Paper Series. RePEc:zbw:safewp:279783.

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Works by Gregor Kastner:


YearTitleTypeCited
2011EUROPEAN RAPESEED AND FOSSIL DIESEL: THRESHOLD COINTEGRATION ANALYSIS AND POSSIBLE IMPLICATIONS In: 51st Annual Conference, Halle, Germany, September 28-30, 2011.
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paper12
2017Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models In: Papers.
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paper42
2018Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models In: Papers.
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paper12
2018Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models.(2018) In: Working Papers in Economics.
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This paper has nother version. Agregated cites: 12
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2016Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model.(2016) In: Department of Economics Working Papers.
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This paper has nother version. Agregated cites: 12
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2016Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model.(2016) In: Department of Economics Working Paper Series.
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This paper has nother version. Agregated cites: 12
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2019Should I stay or should I go? A latent threshold approach to large?scale mixture innovation models.(2019) In: Journal of Applied Econometrics.
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This paper has nother version. Agregated cites: 12
article
2017Sparse Bayesian time-varying covariance estimation in many dimensions In: Papers.
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paper42
2019Sparse Bayesian time-varying covariance estimation in many dimensions.(2019) In: Journal of Econometrics.
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This paper has nother version. Agregated cites: 42
article
2019Sparse Bayesian vector autoregressions in huge dimensions In: Papers.
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paper41
2020Sparse Bayesian vector autoregressions in huge dimensions.(2020) In: Journal of Forecasting.
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This paper has nother version. Agregated cites: 41
article
2017Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models In: Papers.
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paper177
2014Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models.(2014) In: Computational Statistics & Data Analysis.
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This paper has nother version. Agregated cites: 177
article
2017Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs? In: Papers.
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paper18
2018Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?.(2018) In: Department of Economics Working Papers.
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This paper has nother version. Agregated cites: 18
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2018Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?.(2018) In: Department of Economics Working Paper Series.
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This paper has nother version. Agregated cites: 18
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2019Introducing shrinkage in heavy-tailed state space models to predict equity excess returns In: Papers.
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2019Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage In: Papers.
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2021Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol In: Papers.
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2019Dealing with Stochastic Volatility in Time Series Using the R Package stochvol In: Papers.
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2016Dealing with Stochastic Volatility in Time Series Using the R Package stochvol.(2016) In: Journal of Statistical Software.
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This paper has nother version. Agregated cites: 73
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2021On the joint volatility dynamics in dairy markets In: Papers.
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2023Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends! In: Papers.
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2021On the joint volatility dynamics in international dairy commodity markets In: Australian Journal of Agricultural and Resource Economics.
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