BAYESIAN SEASONAL ANALYSIS WITH ROBUST PRIORS

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

Robust Bayesian analysis given priors on partition

In Bayesian analysis, suppose that probability measures can be speciied over the subsets partitioning the parameter space , so that they are to be joined in a unique prior measure, deened all over , according to some weights. Should the weights be uncertain , then the class ? of all the probability measures compatible with such uncertainty is to be speciied instead. Situations in which such a c...

متن کامل

Robust Bayesian Inference Using the Mixture Priors

In Bayesian estimation the posterior distribution is proportional to likelihood function and the prior density of the parameter. Thus Bayesian inference, most often, is affected by the prior density. In this paper we look at how we can make Bayesian inference more robust against a poorly specified prior. We find that using a mixture of conjugate priors enables us to do this. We allow a small pr...

متن کامل

Bayesian persuasion with heterogeneous priors

Abstract In a world in which rational individuals may hold di↵erent prior beliefs, a sender can influence the behavior of a receiver by controlling the informativeness of an experiment (public signal). We characterize the set of distributions of posterior beliefs that can be induced by an experiment, and provide necessary and su cient conditions for a sender to benefit from persuasion. We then ...

متن کامل

Random Projections with Bayesian Priors

The technique of random projection is one of dimension reduction, where high dimensional vectors in RD are projected down to a smaller subspace in Rk. Certain forms of distances or distance kernels such as Euclidean distances, inner products [10], and lp distances [12] between high dimensional vectors are approximately preserved in this smaller dimensional subspace. Word vectors which are repre...

متن کامل

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors

Spatial whole-brain Bayesian modeling of task-related functional magnetic resonance imaging (fMRI) is a great computational challenge. Most of the currently proposed methods therefore do inference in subregions of the brain separately or do approximate inference without comparison to the true posterior distribution. A popular such method, which is now the standard method for Bayesian single sub...

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: INVESTIGACION & DESARROLLO

سال: 2012

ISSN: 1814-6333,2518-4431

DOI: 10.23881/idupbo.012.1-3e