Dan Ababei

Dan Ababei
Light Twist Software

About

16
Publications
4,748
Reads
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216
Citations
Additional affiliations
January 2015 - present
Light Twist Software, Melbourne
Position
  • Owner
December 2008 - December 2014
Independent Researcher
Position
  • Owner
July 2005 - December 2008
Delft University of Technology
Position
  • Software engineer / Researcher

Publications

Publications (16)
Article
Wildfire extent and their impacts are increasing around the world. Fire management agencies use fire behaviour simulation models operationally (during a wildfire event) or strategically for risk assessment and treatment. These models provide agencies with increased knowledge of fire potential to improve identification of the best strategies for red...
Article
Traditional population viability analysis (PVA) does not address the degree of measurement error or spatial and temporal variability of vital rate parameters, potentially leading to inappropriate conservation decision-making. We provide a methodology of applying Bayesian network (BN) modeling to PVA addressing these considerations, particularly for...
Article
Full-text available
Aim Many species are adapted to a particular fire regime and major deviations from that regime may lead to localized extinction. Here, we quantify immaturity risks to an obligate‐seeder forest tree using an objectively designed climate model ensemble and a probabilistic fire regime simulator to predict future fire regimes. Location Alpine ash (Euc...
Article
Fire management agencies use fire behaviour simulation tools to predict the potential spread of a fire in both risk planning and operationally during wildfires. These models are generally based on underlying empirical or quasi-empirical relations and rarely are uncertainties considered. Little attention has been given to the quality of the input da...
Chapter
In this paper a procedure for measurement error correction based on nonparametric Bayesian networks is proposed. The performance of the proposed method is evaluated using a validation sample collected by Banca d’Italia and a major Italian bank group to investigate the measurement error mechanism in the main financial variables amounts observed in t...
Article
Full-text available
Fire is a major driver of community composition and habitat structure and is extensively used as an ecological management tool in flammable landscapes. Interactions between fire and other processes that affect animal distributions, however, cause variation in faunal responses to fire and limit our ability to identify appropriate fire management reg...
Article
Full-text available
Applications in various domains often lead to high dimensional dependence modelling. A Bayesian network (BN) is a probabilistic graphical model that provides an elegant way of expressing the joint distribution of a large number of interrelated variables. BNs have been successfully used to represent uncertain knowledge in a variety of fields. The ma...
Chapter
This paper describes the blueprint of a model for calculating the left-hand side of the bow-tie for chemical plants is described. The model is based on Non-Parametric Bayesian Belief Nets so that uncertainties are automatically included. Also, the procedure for constructing the elements for the model is described. The aim is to calculate LoC freque...
Conference Paper
Full-text available
The first version of Platypus was made in May 2013. Though the initial program could already be used to calculate an entire site it was not very user friendly. Since then, there was a strong drive to improve the functionality of the program, especially with respect to the improvement of analysis tools. Improvements included: an engine to read equip...
Article
Full-text available
Reservoir simulation models are used both in the development of new fields and in developed fields where production forecasts are needed for investment decisions. When simulating a reservoir, one must account for the physical and chemical processes taking place in the subsurface. Rock and fluid properties are crucial when describing the flow in por...
Chapter
Full-text available
An integrated model for risk in a real-time environment for the hydrocarbon industry based on the CATS model for commercial aviation safety has been further developed. The approach described in earlier papers required Bayesian Belief Nets (BBN) to be developed for each process unit separately. A much more efficient method for developing the continu...
Article
On February 25, 2009, flight TK 1951, a Boeing 737-800 operated by Turkish Airlines, crashed approximately 1.5km before the intended runway at Amsterdam Schiphol Airport. On board were 135 people—128 passengers and 7 crew. Of these 9 were killed and 86 were injured. The aircraft was destroyed. The official inquiry into the cause of the accident is...
Article
Full-text available
Data mining is the process of extracting and analysing information from large databases. Graphical models are a suitable framework for probabilistic modelling. A Bayesian Belief Net (BBN) is a probabilistic graphical model, which represents joint distributions in an intuitive and efficient way. It encodes the probability density (or mass) function...
Article
Full-text available
Hanea et al. (2006) presented a method for quantifying and computing continuous/discrete non parametric Bayesian Belief Nets (BBN). Influences are represented as conditional rank correlations, and the joint normal copula enables rapid sampling and conditionalization. Further mathematical background is in Kurowicka and Cooke (2007). This article ske...

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