منابع مشابه
Bayesian Fuzzy Hypothesis Testing with Imprecise Prior Distribution
This paper considers the testing of fuzzy hypotheses on the basis of a Bayesian approach. For this, using a notion of prior distribution with interval or fuzzy-valued parameters, we extend a concept of posterior probability of a fuzzy hypothesis. Some of its properties are also put into investigation. The feasibility and effectiveness of the proposed methods are also cla...
متن کاملPosterior Consistency of the Silverman g-prior in Bayesian Model Choice
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularization methods in terms of maximum a posteriori estimation and has motivated Bayesian interpretations of kernel methods. In this paper we pursue a Bayesian interpretation of sparsity in the kernel setting by making use of...
متن کاملBayesian Wavelet Analysis with a Model Complexity Prior
SUMMARY In this paper Bayesian methods for the selection and shrinkage of wavelet coeecients are considered. The wavelet coeecients are assigned a zero mean normal prior with precision matrix. This allows for a more general model than has been previously studied and uncertainty in can be controlled through a hyperprior. It is argued that model interpretability is improved by foresaking the conj...
متن کاملPrior Information Based Bayesian Infinite Mixture Model
Unsupervised learning methods have been tremendously successful in extracting knowledge from genomics data generated by high throughput experimental assays. However, analysis of each dataset in isolation without incorporating potentially informative prior knowledge is limiting the utility of such procedures. Here we present a novel probabilistic model and computational algorithm for semi-superv...
متن کاملPrior Model Selection for Bayesian Inverse Electrocardiography
The goal of the inverse problem of electrocardiography (ECG) is to reconstruct cardiac electrical sources using body surface potential measurements, and an appropriate mathematical model representing the thorax [1,2]. However, due to attenuation and smoothing that occurs in the thorax, the problem is ill-posed and reliable solutions require regularization. The application of suitable regulariza...
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: IEEE Transactions on Signal Processing
سال: 2014
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2013.2286776