id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_hczgpwqlyfaclehqhyk4y4qhfm	Jan‐Willem Romeijn	Theory Change and Bayesian Statistical Inference	2005	18	.pdf	application/pdf	6395	694	71	first presents a scheme for generating predictions from observations by means of hypotheses. paper then presents a general framework for hypotheses change, and proposes the predictions by means of hypotheses: Bayesian updating is used to adapt a probability over hypotheses to known observations, and this adapted However, after we have chosen these hypotheses and a prior probability over them, updating fully determines the scheme for generating predictions from hypotheses, to present an example can be determined as a function of an infinitely long sequence of observations e, then we can define hypotheses as subsets of in the followingqK With the introduction of new hypotheses, the probability over the observational algebra undergoes an external shock. change t, the new probability assignment over the hypotheses observes with Bayesian statistical inference to adopt the minimization of crossentropy as the update operation in cases of partition change.	./cache/work_hczgpwqlyfaclehqhyk4y4qhfm.pdf	./txt/work_hczgpwqlyfaclehqhyk4y4qhfm.txt