Computational Advances for and from Bayesian Analysis
نویسندگان
چکیده
منابع مشابه
Computational Advances for and from Bayesian Analysis
The emergence in the past years of Bayesian analysis in many methodological and applied fields as the solution to the modeling of complex problems cannot be dissociated from major changes in its computational implementation. We show in this review how the advances in both Bayesian analysis and statistical computation are intermingled.
متن کاملSparse Bayesian Linear Models Computational Advances and Applications in Epidemiology
Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Tomi Peltola Name of the doctoral dissertation Sparse Bayesian Linear Models: Computational Advances and Applications in Epidemiology Publisher School of Science Unit Department of Biomedical Engineering and Computational Science Series Aalto University publication series DOCTORAL DISSERTATIONS 206/2014 Field of research Compu...
متن کاملAdvances in Computational Geometry for Document Analysis
Many problems in document image analysis can be couched in geometric terms. We outline recent advances in computational geometry that contribute to many aspects of the document analysis process and we provide pointers to a selection of the computational geometry literature where the most relevant results can be found.
متن کاملComputational Approaches for Empirical Bayes Methods and Bayesian Sensitivity Analysis
We consider situations in Bayesian analysis where we have a family of priors νh on the parameter θ, where h varies continuously over a space H, and we deal with two related problems. The first involves sensitivity analysis and is stated as follows. Suppose we fix a function f of θ. How do we efficiently estimate the posterior expectation of f(θ) simultaneously for all h in H? The second problem...
متن کاملBayesian Analysis and Computational Methods for Dynamic Modeling
Statistics) Bayesian Analysis and Computational Methods for Dynamic Modeling
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: Statistical Science
سال: 2004
ISSN: 0883-4237
DOI: 10.1214/088342304000000071