Sentences with word «bayesian»

«Objectivity» of objective Bayesian analysis means that the user of the method can not affect the outcome by further subjective choices after the basic settings of the analysis are fixed.

In sessions, there were a lot of papers on new approaches to estimating the climate of the common era (since 0 AD)-- many of them using Bayesian methods of one sort or another.

Phylogeny reconstruction: increasing the accuracy of pairwise distance estimation using Bayesian inference of evolutionary rates

In a paper published last December in the SIAM Journal on Uncertainty Quantification, authors Matthew Heaton, Tamara Greasby, and Stephan Sain propose a statistical hierarchical Bayesian model that consolidates climate change information from observation - based data sets and climate models.

In case any of you are wondering, I submitted a paper to Journal of Climate in July detailing my reanalysis of the Forest 2006 datasets, focussing on improving the methodology, in particular by using an objective Bayesian approach.

Subjective Bayesian posterior probability represents a personal degree of belief.

4 in OpenBUGS, an open - source program for Bayesian model estimation (Lunn, Spiegelhalter, Thomas & Best, 2009).

I don't see the problem with doing a little applied Bayesian probability in climate science; --RRB-

A discussion of the use of Bayesian estimation in calculating climate sensitivity (to doubled CO2) occurred recently in the comments at the And Then There's Physics (ATTP) blog.

By using model comparisons in an approximate Bayesian framework, we have shown that the speciation event and the major mutation responsible of for heavy metal accumulation both occurred in a very narrow time - scale [1].

This Epigenesys - funded project aims to apply system genetic approaches based on Bayesian networks to model regulatory pathways between genetic variants and molecular phenotypes measured in blood cells.

However the biggest mistake people make with statistics is that they don't do Bayesian updating based on the circumstances by which correlations are discovered.

They have developed a set of tools that can be used to make accurate, rapid assessments of proposed materials, using a series of relatively simple lab tests combined with computer modeling of the physical properties of the material itself, as well as additional modeling based on a statistical method known as Bayesian inference.

BUGS is for doing Bayesian analysis of complex models with Markov chain Monte Carlo technique.

Butler and co-authors Neil Frazer (UHM SOEST) and William Templeton (now at Portland State University) created a numerical model based only upon the basics of plate tectonics: fault length and plate convergence rate, handling uncertainties in the data with Bayesian techniques.

The use of «likelihood» and «likely» in either the subjectivist or objectivist Bayesian sense is perfectly reasonable.

The values of estimated parameters by Bayesian approach reflect the unique characters of China's economy.

Given the potentially large differences in estimated probabilities based on frequentist versus Bayesian interpretations, witnesses should be explicit not only about the set of results from which the estimate is derived, but also about which interpretation is being used to generate the probability estimate.

I am particularly pleased with his bare knuckle knockdown of IPCC use of Subjective Bayesian studies of ECS using uniform priors.

Your friends and colleagues are talking about something called Bayes» Theorem or Bayes» Rule, or something called Bayesian reasoning.

If you want to consider medical treatment as a sort of informal Bayesian process you will get no argument from me.

Here we are not talking about the prior being ignorant of the observations (a highly desirable thing in Bayesian terms).

The issue that I have with this is that the level of ignorance is sufficiently large that probabilities determined from Bayesian analysis are not justified.

Subjective Bayesian procedures are always perfectly consistent on their own terms.

Bayesian systems sounds a little familiar, but I can't quite remember it.

The method, called computational Bayesian phylogenetics, forces researchers to explicitly quantify the uncertainty in the models, says linguist Claire Bowern of Yale University, a pioneer of the approach and co-author of the new study.

When Bayesian estimates are given, the witness should provide a clear statement of the prior probability employed in the estimate, and its justification.

The new text, Doing Bayesian Data Analysis, by Professor John Kruschke comes close.