Paper
Standard Bayesian Approach to Quantized Measurements and Imprecise Likelihoods
Publication
Volume Number:
10
Issue Number:
1
Pages:
Starting page
3
Ending page
12
Publication Date:
Publication Date
June 2015
paper Menu
Abstract
In this paper we show that the standard definition of likelihood function used in Bayesian inference simply and correctly handles quantized measurements and imprecise likelihood functions. Some recent papers have stated or implied that methods involving random sets, fuzzy membership functions, generalized likelihood functions, or Dempster-Shafer concepts are required to handle imprecise likelihood functions and quantized measurements. While it is true that one can use these methods, in the spirit of Occam’s razor, we feel the simplest correct solution is the best.
