Name
Abstract | ||
|---|---|---|
Without a clear, precise and rigorous mathematical frame, is the likelihood "per se" a proper tool to deal with statistical inference and to manage partial and vague information? Since (as Basu puts it) "the likelihood function is after all a bunch of conditional probabilities", a proper discussion of the various extensions of a likelihood from a point function to a set function is carried out by looking at a conditional probability as a general non-additive "uncertainty" measure P (E | · ) on the set of conditioning events. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02906-6_48 | ECSQARU |
Keywords | Field | DocType |
integrated likelihood,measure p,proper discussion,point function,finitely additive setting,set function,likelihood function,conditioning event,conditional probability,proper tool,general non-additive,rigorous mathematical frame,statistical inference | Econometrics,Discrete mathematics,Mathematical economics,Conditional probability distribution,Likelihood function,Conditional probability,Computer science,Conditional event algebra,Marginal likelihood,Posterior probability,Restricted maximum likelihood,Likelihood principle | Conference |
Volume | ISSN | Citations |
5590 | 0302-9743 | 5 |
PageRank | References | Authors |
0.52 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giulianella Coletti | 1 | 572 | 71.49 |
| Romano Scozzafava | 2 | 367 | 48.05 |
| Barbara Vantaggi | 3 | 422 | 46.32 |