A Bayesian Divergence Prior for Classiffier Adaptation
نویسندگان
چکیده
OMB requires that influential scientific information on which a Federal Agency relies in a rule-making proceeding be subject to peer review to enhance the quality and credibility of the government’s scientific information. These studies constitute influential scientific information under OMB’s definition, 1 and thus these studies must be subject to peer review. OMB further requires Federal Agencies to provide peer reviewers with “instructions regarding the objective of the peer review and the specific advice sought.”
منابع مشابه
A Note on Evolutionary Rate Estimation in Bayesian Evolutionary Analysis: Focus on Pathogens
Bayesian evolutionary analysis provide a statistically sound and flexible framework for estimation of evolutionary parameters. In this method, posterior estimates of evolutionary rate (μ) are derived by combining evolutionary information in the data with researcher’s prior knowledge about the true value of μ. Nucleotide sequence samples of fast evolving pathogens that are taken at d...
متن کاملRegularized Adaptation: Theory, Algorithms and Applications
Regularized Adaptation: Theory, Algorithms and Applications Xiao Li Chair of the Supervisory Committee: Professor Jeff Bilmes Electrical Engineering Many statistical learning techniques assume that training and testing samples are generated from the same underlying distribution. Often, however, an ”unadapted classifier” is trained on samples drawn from a training distribution that is different ...
متن کاملBayesian Estimation of Reliability of the Electronic Components Using Censored Data from Weibull Distribution: Different Prior Distributions
The Weibull distribution has been widely used in survival and engineering reliability analysis. In life testing experiments is fairly common practice to terminate the experiment before all the items have failed, that means the data are censored. Thus, the main objective of this paper is to estimate the reliability function of the Weibull distribution with uncensored and censored data by using B...
متن کاملA Bayesian approach for image denoising in MRI
Magnetic Resonance Imaging (MRI) is a notable medical imaging technique that is based on Nuclear Magnetic Resonance (NMR). MRI is a safe imaging method with high contrast between soft tissues, which made it the most popular imaging technique in clinical applications. MR Imagechr('39')s visual quality plays a vital role in medical diagnostics that can be severely corrupted by existing noise duri...
متن کاملBayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms
We investigate the problem of estimating the causal effect of a treatment on individual subjects from observational data; this is a central problem in various application domains, including healthcare, social sciences, and online advertising. Within the Neyman-Rubin potential outcomes model, we use the Kullback-Leibler (KL) divergence between the estimated and true distributions as a measure of...
متن کامل