SIPTA
Encyclopedia
The Society for Imprecise Probability: Theories and Applications (SIPTA) was created in February 2002, with the aim of promoting the research
on Imprecise probability
. This is done through a series of activities for bringing together researchers from different groups, creating resources for information dissemination and documentation
, and making other people aware of the potential of Imprecise Probability models.
Probabilities and Their Applications (ISIPTA). The first ISIPTA happened in 1999 in Ghent, Belgium;
due to the success of the event, a second edition took place in Cornell, United States, in 2001.
The Society was then created in Switzerland,
during the year of 2002. The first general meeting of the Society happened during the third ISIPTA,
in Lugano, Switzerland.
The Society is now concerned with many activities around the theme of imprecise probabilities.
Imprecise probability
is understood in a very wide sense. It is used as a generic term to cover all mathematical models which measure chance or uncertainty without sharp numerical probabilities. It includes both qualitative (comparative probability, partial preference orderings,...) and quantitative
models (interval probabilities, belief functions, upper and lower previsions,...). Imprecise probability models are needed in inference
problems where the relevant information is scarce, vague or conflicting, and in decision problems where preferences may also be incomplete.
Research
Research can be defined as the scientific search for knowledge, or as any systematic investigation, to establish novel facts, solve new or existing problems, prove new ideas, or develop new theories, usually using a scientific method...
on Imprecise probability
Imprecise probability
Imprecise probability generalizes probability theory to allow for partial probability specifications, and is applicable when information is scarce, vague, or conflicting, in which case a unique probability distribution may be hard to identify...
. This is done through a series of activities for bringing together researchers from different groups, creating resources for information dissemination and documentation
Documentation
Documentation is a term used in several different ways. Generally, documentation refers to the process of providing evidence.Modules of Documentation are Helpful...
, and making other people aware of the potential of Imprecise Probability models.
Background
The Society was originally created to manage the series of International Symposia on ImpreciseProbabilities and Their Applications (ISIPTA). The first ISIPTA happened in 1999 in Ghent, Belgium;
due to the success of the event, a second edition took place in Cornell, United States, in 2001.
The Society was then created in Switzerland,
during the year of 2002. The first general meeting of the Society happened during the third ISIPTA,
in Lugano, Switzerland.
The Society is now concerned with many activities around the theme of imprecise probabilities.
Imprecise probability
Imprecise probability
Imprecise probability generalizes probability theory to allow for partial probability specifications, and is applicable when information is scarce, vague, or conflicting, in which case a unique probability distribution may be hard to identify...
is understood in a very wide sense. It is used as a generic term to cover all mathematical models which measure chance or uncertainty without sharp numerical probabilities. It includes both qualitative (comparative probability, partial preference orderings,...) and quantitative
Quantitative property
A quantitative property is one that exists in a range of magnitudes, and can therefore be measured with a number. Measurements of any particular quantitative property are expressed as a specific quantity, referred to as a unit, multiplied by a number. Examples of physical quantities are distance,...
models (interval probabilities, belief functions, upper and lower previsions,...). Imprecise probability models are needed in inference
Inference
Inference is the act or process of deriving logical conclusions from premises known or assumed to be true. The conclusion drawn is also called an idiomatic. The laws of valid inference are studied in the field of logic.Human inference Inference is the act or process of deriving logical conclusions...
problems where the relevant information is scarce, vague or conflicting, and in decision problems where preferences may also be incomplete.