kevin van horn bqkxbksvanhorncom nov 17 2005 208 pm jason palmer wrote understanding bayesians also believe fixed distributions given phenomena least one major proponent bayesian methods e jaynes would strongly disagree statement calling example mind projection fallacy 1 jaynes views probability theory extension classical logical handle degrees certainty two extremes certainly true certainly false view supported coxs theorem 23 thus bayesian probability distribution represents ones state knowledge aspect physical world property physical world notion imprecise probabilities nonsensical presupposes correct unknown distribution property physical system 1 e jaynes probability theory logic science cambridge university press 2003 2 r cox probability frequency reasonable expectation american journal physics 17 1946 17 3 k van horn constructing logic plausible inference guide coxs theorem international journal approximate reasoning 34 1 sept 2003 available web http wwwleutheranalyticscombayespapershtml wed 06 aug 2008 131111 0700 uai imprecise probabilitiesa simple yet computationallynontrivial problem