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Dr. Vlasios Voudouris
Dr. Vlasios Voudouris
Standard Chartered Bank
Dirección de correo verificada de abm-analytics.com
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Flexible regression and smoothing: using GAMLSS in R
MD Stasinopoulos, RA Rigby, GZ Heller, V Voudouris, F De Bastiani
CRC Press, 2017
5702017
The economic growth enigma: Capital, labour and useful energy?
R Ayres, V Voudouris
Energy Policy 64, 16-28, 2014
1862014
Modelling skewness and kurtosis with the BCPE density in GAMLSS
V Voudouris, R Gilchrist, R Rigby, J Sedgwick, D Stasinopoulos
Journal of Applied Statistics 39 (6), 1279-1293, 2012
712012
Discussion: A comparison of GAMLSS with quantile regression
RA Rigby, DM Stasinopoulos, V Voudouris
Statistical Modelling 13 (4), 335-348, 2013
402013
The ACEGES laboratory for energy policy: Exploring the production of crude oil
V Voudouris, D Stasinopoulos, R Rigby, C Di Maio
Energy Policy 39 (9), 5480-5489, 2011
372011
The economic growth enigma revisited: The EU-15 since the 1970s
V Voudouris, R Ayres, AC Serrenho, D Kiose
Energy Policy 86, 812-832, 2015
352015
The distribution toolbox of GAMLSS
B Rigby, M Stasinopoulos, G Heller, V Voudouris
The GAMLSS Team 261, 2014
322014
Exploring crude oil production and export capacity of the OPEC Middle East countries
K Matsumoto, V Voudouris, D Stasinopoulos, R Rigby, C Di Maio
Energy policy 48, 820-828, 2012
312012
Towards a unifying formalisation of geographic representation: the object–field model with uncertainty and semantics
V Voudouris
International Journal of Geographical Information Science 24 (12), 1811-1828, 2010
282010
Potential impact of unconventional oil resources on major oil-producing countries: scenario analysis with the ACEGES model
K Matsumoto, V Voudouris
Natural Resources Research 24, 107-119, 2015
262015
Exploring the production of natural gas through the lenses of the ACEGES model
V Voudouris, K Matsumoto, J Sedgwick, R Rigby, D Stasinopoulos, ...
Energy Policy 64, 124-133, 2014
242014
Flexible regression and smoothing: The GAMLSS packages in R
M Stasinopoulos, B Rigby, V Voudouris, G Heller, F De Bastiani
GAMLSS for Statistical Modelling. GAMLSS for Statistical Modeling, 2015
232015
Global energy policy and security
W Leal Filho, V Voudouris
Springer, 2013
172013
The ACEWEM framework: An integrated agent-based and statistical modelling laboratory for repeated power auctions
D Kiose, V Voudouris
Expert Systems with Applications 42 (5), 2731-2748, 2015
152015
Towards a conceptual synthesis of dynamic and geospatial models: fusing the agent-based and Object–Field models
V Voudouris
Environment and Planning B: Planning and Design 38 (1), 95-114, 2011
152011
Package ‘gamlss’
M Stasinopoulos, B Rigby, V Voudouris, C Akantziliotou, M Enea, D Kiose
Dist’2020Available online: http://www. gamlss. org (accessed on 16 July 2021), 2024
142024
Capturing and representing conceptualization uncertainty interactively using object-fields
V Voudouris, P Fisher, J Wood
Progress in Spatial Data Handling, 755-770, 2006
112006
Oil scenarios for long-term business planning: Royal Dutch Shell and generative explanation, 1960-2010
M Jefferson, V Voudouris
92011
Collaborative geovisualization: object-field representations with semantic and uncertainty information
V Voudouris, J Wood, P Fisher
On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops, 1056-1065, 2005
72005
gamlss. dist: Distributions to be used for GAMLSS modelling. R package version 4.3-0
M Stasinopoulos, B Rigby, C Akantziliotou, G Heller, R Ospina, N Motpan, ...
62014
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Artículos 1–20