Petros Dellaportas : Citation Profile


Are you Petros Dellaportas?

10

H index

10

i10 index

298

Citations

RESEARCH PRODUCTION:

25

Articles

18

Papers

RESEARCH ACTIVITY:

   28 years (1993 - 2021). See details.
   Cites by year: 10
   Journals where Petros Dellaportas has often published
   Relations with other researchers
   Recent citing documents: 11.    Total self citations: 10 (3.25 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pde1116
   Updated: 2024-01-16    RAS profile: 2021-09-22    
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Relations with other researchers


Works with:

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

Is cited by:

Maheu, John (11)

Caporin, Massimiliano (10)

Jensen, Mark (7)

Galeano, Pedro (7)

Ravazzolo, Francesco (7)

Chen, Cathy W. S. (5)

LĂĽtkepohl, Helmut (5)

Lanne, Markku (5)

Giudici, Paolo (5)

Luoto, Jani (4)

Steel, Mark (4)

Cites to:

van Dijk, Herman (19)

Bauwens, Luc (9)

Koop, Gary (9)

Potter, Simon (8)

Lubrano, Michel (6)

Shephard, Neil (5)

Kalogeropoulos, Konstantinos (5)

Gallant, A. (5)

Bollerslev, Tim (4)

Geweke, John (4)

Chopin, Nicolas (4)

Main data


Where Petros Dellaportas has published?


Journals with more than one article published# docs
Journal of the Royal Statistical Society Series B4
Journal of the Royal Statistical Society Series A3
Journal of the Royal Statistical Society Series C2
Econometrics Journal2
International Statistical Review2
Biometrika2
Quantitative Finance2

Working Papers Series with more than one paper published# docs
Papers / arXiv.org5
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) / HAL4
Post-Print / HAL3
MPRA Paper / University Library of Munich, Germany2
Documents de travail du Centre d'Economie de la Sorbonne / Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne2

Recent works citing Petros Dellaportas (2024 and 2023)


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

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2023A Simple Method for Predicting Covariance Matrices of Financial Returns. (2023). Boyd, Stephen ; Schmelzer, Thomas ; Pelger, Markus ; Ogut, Mehmet Giray ; Johansson, Kasper. In: Papers. RePEc:arx:papers:2305.19484.

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2023Modeling Large Spot Price Deviations in Electricity Markets. (2023). Desmettre, Sascha ; Aichinger, Florian ; Laudag, Christian. In: Papers. RePEc:arx:papers:2306.07731.

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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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2023Measuring financial soundness around the world: A machine learning approach. (2023). Mertzanis, Charilaos ; Cerchiello, Paola ; Bitetto, Alessandro. In: International Review of Financial Analysis. RePEc:eee:finana:v:85:y:2023:i:c:s105752192200401x.

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2023Covariance dependent kernels, a Q-affine GARCH for multi-asset option pricing. (2023). Stentoft, Lars ; Rastegari, Javad ; Escobar-Anel, Marcos. In: International Review of Financial Analysis. RePEc:eee:finana:v:87:y:2023:i:c:s1057521923001382.

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2023Multi-population mortality projection: The augmented common factor model with structural breaks. (2023). Vahid, Farshid ; Pantelous, Athanasios A ; Wang, Pengjie. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:450-469.

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2023Shot-noise cojumps: exact simulation and option pricing. (2023). Zhao, Hongbiao ; Dassios, Angelos ; Qu, Yan. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:111537.

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2023Dependence Modelling of Lifetimes in Egyptian Families. (2023). Khalil, Dalia ; Constantinescu, Corina ; Hana, Waleed ; Henshaw, Kira. In: Risks. RePEc:gam:jrisks:v:11:y:2023:i:1:p:18-:d:1032194.

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2023Bayesian inference of multivariate-GARCH-BEKK models. (2023). Nur, Darfiana ; Livingston, G C. In: Statistical Papers. RePEc:spr:stpapr:v:64:y:2023:i:5:d:10.1007_s00362-022-01360-6.

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2023Forecasting sovereign risk in the Euro area via machine learning. (2023). Istrefi, Klodiana ; CAICEDO GRACIANO, Carlos Mateo ; Boeckelmann, Lukas ; di Iorio, Alberto ; Belly, Guillaume ; Stallabourdillon, Arthur ; Siakoulis, Vasileios. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:3:p:657-684.

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Works by Petros Dellaportas:


YearTitleTypeCited
2007Inference for stochastic volatility models using time change transformations In: Papers.
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paper8
2010Inference for stochastic volatility models using time change transformations.(2010) In: LSE Research Online Documents on Economics.
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This paper has nother version. Agregated cites: 8
paper
2007Inference for stochastic volatility model using time change transformations.(2007) In: MPRA Paper.
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This paper has nother version. Agregated cites: 8
paper
2007Likelihood-based inference for correlated diffusions In: Papers.
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paper5
2007Likelihood-based inference for correlated diffusions.(2007) In: MPRA Paper.
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This paper has nother version. Agregated cites: 5
paper
2014Arbitrage-free prediction of the implied volatility smile In: Papers.
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paper1
2014Communication impacting financial markets In: Papers.
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paper14
2014Communication impacting financial markets.(2014) In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
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This paper has nother version. Agregated cites: 14
paper
2014Communication impacting financial markets.(2014) In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
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This paper has nother version. Agregated cites: 14
paper
2014Communication impacting financial markets.(2014) In: Post-Print.
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This paper has nother version. Agregated cites: 14
paper
2014Communication impacting financial markets.(2014) In: Post-Print.
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This paper has nother version. Agregated cites: 14
paper
2014Communication impacting financial markets.(2014) In: Documents de travail du Centre d'Economie de la Sorbonne.
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This paper has nother version. Agregated cites: 14
paper
2021Bayesian prediction of jumps in large panels of time series data In: Papers.
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paper0
2000Full Bayesian Inference for GARCH and EGARCH Models. In: Journal of Business & Economic Statistics.
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article60
2001A Simulation Approach to Nonparametric Empirical Bayes Analysis In: International Statistical Review.
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article0
2020Interview with Professor Adrian FM Smith In: International Statistical Review.
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article0
2001Bayesian analysis of mortality data In: Journal of the Royal Statistical Society Series A.
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article14
2019Bayesian forecasting of mortality rates by using latent Gaussian models In: Journal of the Royal Statistical Society Series A.
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article3
2021Sample size determination for risk?based tax auditing In: Journal of the Royal Statistical Society Series A.
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article0
2003Discussion on the paper by Brooks, Giudici and Roberts In: Journal of the Royal Statistical Society Series B.
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article0
2004Bayesian inference for non?Gaussian Ornstein–Uhlenbeck stochastic volatility processes In: Journal of the Royal Statistical Society Series B.
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article43
2005Model determination for categorical data with factor level merging In: Journal of the Royal Statistical Society Series B.
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article2
2012Control variates for estimation based on reversible Markov chain Monte Carlo samplers In: Journal of the Royal Statistical Society Series B.
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article2
1993Bayesian Inference for Generalized Linear and Proportional Hazards Models Via Gibbs Sampling In: Journal of the Royal Statistical Society Series C.
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article13
2003Assessment of Athenss metro passenger behaviour via a multiranked probit model In: Journal of the Royal Statistical Society Series C.
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article2
2007Modelling volatility asymmetries: a Bayesian analysis of a class of tree structured multivariate GARCH models In: Econometrics Journal.
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article12
2003A full-factor multivariate GARCH model In: Econometrics Journal.
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article67
2008Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models In: Computational Statistics & Data Analysis.
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article11
2019Importance sampling from posterior distributions using copula-like approximations In: Journal of Econometrics.
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article1
2004Quantification of automobile insurance liability: a Bayesian failure time approach In: Insurance: Mathematics and Economics.
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article1
2014A Socio-Finance Model: Inference and empirical application In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
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paper3
2015A Socio-Finance Model: Inference and empirical application.(2015) In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
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This paper has nother version. Agregated cites: 3
paper
2015A Socio-Finance Model: Inference and empirical application.(2015) In: Post-Print.
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This paper has nother version. Agregated cites: 3
paper
2014A Socio-Finance Model: Inference and empirical application.(2014) In: Working Papers.
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This paper has nother version. Agregated cites: 3
paper
2015A Socio-Finance Model: Inference and empirical application.(2015) In: Documents de travail du Centre d'Economie de la Sorbonne.
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This paper has nother version. Agregated cites: 3
paper
2006Bayesian model selection for partially observed diffusion models In: Biometrika.
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article1
2011A novel reversible jump algorithm for generalized linear models In: Biometrika.
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article2
2019Efficient Sequential Monte Carlo Algorithms for Integrated Population Models In: Journal of Agricultural, Biological and Environmental Statistics.
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article0
2007Flexible Threshold Models for Modelling Interest Rate Volatility In: Econometric Reviews.
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article1
2012Contagion determination via copula and volatility threshold models In: Quantitative Finance.
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article10
2019Sovereign risk zones in Europe during and after the debt crisis In: Quantitative Finance.
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article6
2002Bayesian Modelling of Outstanding Liabilities Incorporating Claim Count Uncertainty In: North American Actuarial Journal.
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article16
2001An application of three bivariate time?varying volatility models In: Applied Stochastic Models in Business and Industry.
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article0

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