id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_j2n3znsp3bhf5dysu4xpbkqane	Luc Bovens	Bayesian Networks and the Problem of Unreliable Instruments	2002	59	.pdf	application/pdf	10725	954	63	for a hypothesis to receive strong confirmation, even when scientific instruments to test The Bayesian Network also represents a series of other conditional independences, e.g. REP ⊥ HYP|CON. independent LTFR instruments and test the very same testable consequence with these additional confirming report from a second independent LTFR instrument. a and r, we test a first consequence of a hypothesis, receive a positive report and are confirmation from a second positive report from one and the same LTFR instrument or confirmation from a second positive report from one and the same LTFR instrument or report than an independent auxiliary theory for lower prior probability values of the reliability of the instrument may lower the degree of confirmation for the hypothesis. reliability of the instrument is supported by an independent auxiliary theory. hypothesis to receive positive reports from one or from two instruments. hypothesis to receive positive reports from one or from two instruments.	./cache/work_j2n3znsp3bhf5dysu4xpbkqane.pdf	./txt/work_j2n3znsp3bhf5dysu4xpbkqane.txt