Are Bayesian Inferences Weak for Wasserman's Example?
نویسندگان
چکیده
منابع مشابه
Are Bayesian Inferences Weak for Wasserman's Example?
An example was given in the textbook All of Statistics (Wasserman, 2004, pages 186-188) for arguing that, in the problems with a great many parameters Bayesian inferences are weak, because they rely heavily on the likelihood function that captures information of only a tiny fraction of the total parameters. Alternatively he suggested non-Bayesian Horwitz-Thompson estimator, which cannot be obta...
متن کاملBayesian Inferences for Object Detection
Moghaddam et al. (Moghaddam and Pentland, 1997) first proposed to perform object detection by modelling the marginal probability density function (pdf) of high dimensional features of appearance. Based on gaussian hypotheses, their approach is however not robust to outliers that can occur in images due, for instance, to cluttered backgrounds or partial occlusions. In (Dahyot et al., 2004), robu...
متن کاملAdversarial Example Defense: Ensembles of Weak Defenses are not Strong
Ongoing research has proposed several methods to defend neural networks against adversarial examples, many of which researchers have shown to be ineffective. We ask whether a strong defense can be created by combining multiple (possibly weak) defenses. To answer this question, we study three defenses that follow this approach. Two of these are recently proposed defenses that intentionally combi...
متن کاملAdversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Ongoing research has proposed several methods to defend neural networks against adversarial examples, many of which researchers have shown to be ineffective. We ask whether a strong defense can be created by combining multiple (possibly weak) defenses. To answer this question, we study three defenses that follow this approach. Two of these are recently proposed defenses that intentionally combi...
متن کاملBayesian inferences on umbrella orderings.
In regression applications with categorical predictors, interest often focuses on comparing the null hypothesis of homogeneity to an ordered alternative. This article proposes a Bayesian approach for addressing this problem in the setting of normal linear and probit regression models. The regression coefficients are assigned a conditionally conjugate prior density consisting of mixtures of poin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Communications in Statistics - Simulation and Computation
سال: 2010
ISSN: 0361-0918,1532-4141
DOI: 10.1080/03610910903576540