A neurocentric approach to Bayesian inference

Bayesian approach to inference of population structure

Methods of inferring the population structure‎, ‎its applications in identifying disease models as well as foresighting the physical and mental situation of human beings have been finding ever-increasing importance‎. ‎In this article‎, ‎first‎, ‎motivation and significance of studying the problem of population structure is explained‎. ‎In the next section‎, ‎the applications of inference of p...

A Cortico-Neurocentric Approach to LUTS

NY Vesicocentric Vesicocentric thinking thinking ¾ ¾ Bladder thought to be autonomous or reflexive Bladder thought to be autonomous or reflexive ¾ ¾ Bladder size is too small Bladder size is too small ¾ ¾ Isolated de novo detrusor problems Isolated de novo detrusor problems ¾ ¾ UTI UTI' 's due to bladder lining problems or poor s due to bladder lining problems or poor hygeine hygeine ¾ ¾ Bowel ...

A PAC-Bayesian approach to adaptive inference

A Computational Approach to Bayesian Inference

xxx Although the Bayesian approach provides a complete solution to model-based analysis, it is often difficult to obtain closed-form solutions for complex models. However, numerical solutions to Bayesian modeling problems are now becoming attractive because of the advent of powerful, low-cost computers and new algorithms. We describe a general-purpose implementation of the Bayesian methodology ...

A Simulated Annealing Approach to Bayesian Inference

A generic algorithm for the extraction of probabilistic (Bayesian) information about model parameters from data is presented. The algorithm propagates an ensemble of particles in the product space of model parameters and outputs. Each particle update consists of a random jump in parameter space followed by a simulation of a model output and a Metropolis acceptance/rejection step based on a comp...