Bayesian model averaging in EEG/MEG imaging

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bayesian model averaging in EEG/MEG imaging.

In this paper, the Bayesian Theory is used to formulate the Inverse Problem (IP) of the EEG/MEG. This formulation offers a comparison framework for the wide range of inverse methods available and allows us to address the problem of model uncertainty that arises when dealing with different solutions for a single data. In this case, each model is defined by the set of assumptions of the inverse m...

متن کامل

Predicting waste generation using Bayesian model averaging

A prognosis model has been developed for solid waste generation from households in Hoi An City, a famous tourist city in Viet Nam. Waste sampling, followed by a questionnaire survey, was carried out to gather data. The Bayesian model average method was used to identify factors significantly associated with waste generation. Multivariate linear regression analysis was then applied to evaluate th...

متن کامل

Tuned Bayesian Model Averaging

In this paper, we suggest an empirical Bayes-type prior for the model space in Bayesian model averaging (BMA) in a method we call tuned Bayesian model averaging (tBMA). This method relies on leave-one-out cross validation to choose a hyper-parameter that will cause the averaging process to favor either smaller or richer models in the prior distribution over the models. We find that this method ...

متن کامل

1 Bayesian Model Averaging In

Consideration of multiple models is routine statistical practice. With computational advances over the past decade, there has been increased interest in methods for making inferences based on combining models. Examples include boosting, bagging, stacking, and Bayesian Model Averaging (BMA), which often lead to improved performance over methods based on selecting a single model. Bernardo and Smi...

متن کامل

Bayesian Model Averaging

Bayesian Model averaging is a natural response to model uncertainty. It has become an important practical tool for dealing with model uncertainty, in particular in empirical settings with large numbers of potential models and relatively limited numbers of observations. Most of this paper focuses on the problem of variable selection in normal linear regression models, but also briefly considers ...

متن کامل

ذخیره 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: NeuroImage

سال: 2004

ISSN: 1053-8119

DOI: 10.1016/j.neuroimage.2003.11.008