31 citations · 37 across the 4 of their papers we have counts for
12 papers
The Fermi's Bayes Theorem
G. D'Agostini
It is curious to learn that Enrico Fermi knew how to base probabilistic inference on Bayes theorem, and that some influential notes on statistics for physicists stem from what the…
Inferring the success parameter p of a binomial model from small samples affected by background
G. D'Agostini
The problem of inferring the binomial parameter p from x successes obtained in n trials is reviewed and extended to take into account the presence of background, that can affect th…
From Observations to Hypotheses: Probabilistic Reasoning Versus Falsificationism and its Statistical Variations
G. D'Agostini
Testing hypotheses is an issue of primary importance in the scientific research, as well as in many other human activities. Much clarification about it can be achieved if the proce…
Asymmetric Uncertainties: Sources, Treatment and Potential Dangers
G. D'Agostini
The issue of asymmetric uncertainties resulting from fits, nonlinear propagation and systematic effects is reviewed. It is shown that, in all cases, whenever a published result is…
Uncertainties due to imperfect knowledge of systematic effects: general considerations and approximate formulae
G. D'Agostini, M. Raso
Starting from considerations about meaning and subsequent use of asymmetric uncertainty intervals of experimental results, we review the issue of uncertainty propagation. We show t…
Confidence limits: what is the problem? Is there the solution?
G. D'Agostini
This contribution to the debate on confidence limits focuses mostly on the case of measurements with `open likelihood', in the sense that it is defined in the text. I will show tha…