Bayesian inference in applied statistics
نویسندگان
چکیده
منابع مشابه
Applied Bayesian Inference in R using MCMCpack
Sampling) project is a long-running project to provide a user-friendly language and environment for Bayesian inference. The first article, by Andrew Thomas and colleagues, describes the BRugs package which provides an R interface to the OpenBUGS engine. The second article by Andrew Thomas describes the BUGS language itself and the design philosophy behind it. Somewhat unusually for an article i...
متن کاملComputational statistics using the Bayesian Inference Engine
This paper introduces the Bayesian Inference Engine (BIE), a general parallel-optimised software package for parameter inference and model selection. This package is motivated by the analysis needs of modern astronomical surveys and the need to organise and reuse expensive derived data. I describe key concepts that illustrate the power of Bayesian inference to address these needs and outline th...
متن کاملBayesian Statistics BAYESIAN STATISTICS ∗
Mathematical statistics uses two major paradigms, conventional (or frequentist), and Bayesian. Bayesian methods provide a complete paradigm for both statistical inference and decision making under uncertainty. Bayesian methods may be derived from an axiomatic system, and hence provide a general, coherent methodology. Bayesian methods contain as particular cases many of the more often used frequ...
متن کاملBayesian Inference in densely connected networks applied to CDMA
Graphical models provide a powerful framework for modelling statistical dependencies between variables [1]. Message passing techniques are typically used for inference in graphical models that can be represented by a sparse graph. Iterative message passing is guaranteed to converge to the globally correct estimate when the system is tree-like; there are no such guarantees for systems with loops...
متن کاملBayesian Nonparametric and Parametric Inference
This paper reviews Bayesian Nonparametric methods and discusses how parametric predictive densities can be constructed using nonparametric ideas.
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: Trabajos de Estadistica Y de Investigacion Operativa
سال: 1980
ISSN: 0041-0241
DOI: 10.1007/bf02888355