In the early 1970s Tversky and Kahneman published a series of papers on 'heuristics and biases' describing human inadequacies in assessing probabilities, culminating in a highly popular article in "Science". This seminal research has been heavily cited in many fields, including statistics, as the definitive research on probability assessment. Curiously, although this work was debated at the time and more recent work has largely refuted many of the claims, this apparent heuristics and biases bias in elicitation research has gone unremarked. Over a decade of research into the frequency effect, the importance of framing, and cognitive models more generally, has been almost completely ignored by the statistical literature on expert elicitation....
Three experiments examined people's ability to incorporate base rate information when judging p...
BACKGROUND: The equiprobability bias is a tendency for individuals to think of probabilistic events ...
© 2020 Hetti Arachchige Sameera Gayan DharmarathneWe explore the statistical aspects of some of the ...
The Heuristics and Biases approach to judgment under uncertainty began 40 years ago with the publica...
The Heuristics and Biases approach to judgment under uncertainty began 40 years ago with the publica...
Expert opinion and judgment enter into the practice of statistical inference and decision-making in ...
The use of intuitive heuristics has been put forward as an explanation for people’s assessment of pr...
The study of how people use subjective probabilities is a remarkably modern concern, and was largely...
Experts are increasingly being called upon to quantify their knowledge, particularly in situations w...
Elicitation is a key task for subjectivist Bayesians. Although skeptics hold that elicitation cannot...
Elicitation is a key task for subjectivist Bayesians. While skeptics hold that it cannot (or perhaps...
An overview of key issues associated with the elicitation of a prior probability distribution is pro...
As probability elicitation becomes widely used, methods other than one-on-one interviews are being u...
The quality of an expert system, it is argued in this paper, is determined by the quality of its kno...
As scientists and as technologists we should discard the idea of a ‘true’ or ‘objective’ probability...
Three experiments examined people's ability to incorporate base rate information when judging p...
BACKGROUND: The equiprobability bias is a tendency for individuals to think of probabilistic events ...
© 2020 Hetti Arachchige Sameera Gayan DharmarathneWe explore the statistical aspects of some of the ...
The Heuristics and Biases approach to judgment under uncertainty began 40 years ago with the publica...
The Heuristics and Biases approach to judgment under uncertainty began 40 years ago with the publica...
Expert opinion and judgment enter into the practice of statistical inference and decision-making in ...
The use of intuitive heuristics has been put forward as an explanation for people’s assessment of pr...
The study of how people use subjective probabilities is a remarkably modern concern, and was largely...
Experts are increasingly being called upon to quantify their knowledge, particularly in situations w...
Elicitation is a key task for subjectivist Bayesians. Although skeptics hold that elicitation cannot...
Elicitation is a key task for subjectivist Bayesians. While skeptics hold that it cannot (or perhaps...
An overview of key issues associated with the elicitation of a prior probability distribution is pro...
As probability elicitation becomes widely used, methods other than one-on-one interviews are being u...
The quality of an expert system, it is argued in this paper, is determined by the quality of its kno...
As scientists and as technologists we should discard the idea of a ‘true’ or ‘objective’ probability...
Three experiments examined people's ability to incorporate base rate information when judging p...
BACKGROUND: The equiprobability bias is a tendency for individuals to think of probabilistic events ...
© 2020 Hetti Arachchige Sameera Gayan DharmarathneWe explore the statistical aspects of some of the ...