Most recently he has published in the areas of Bayesian inference and reliability theory.

Kriging can also be understood as a form of Bayesian inference.

Some adaptation studies do not support the application of Bayesian inference to motor learning.

Its minimisation can therefore be used to explain Bayesian inference and learning.

Bayesian inference has applications in artificial intelligence and expert systems.

The scientific method can be interpreted as an application of Bayesian inference.

It uses the more powerful probabilistic technique of Bayesian inference.

Bayesian inference can be used for any honestly collected data and has a major advantage because of its scientific focus.

Therefore, the extent to which postural movement can be described by Bayesian inference is not yet clear.

Silver's one misstep comes in his advocacy of an approach known as Bayesian inference.

Many scientists have raised questions about the interpretation of Bayesian inference when the model is unknown or incorrect.

In reaching studies that show evidence of Bayesian inference, participants typically perform 900 reaches or more.

Bayesian inference has been most commonly studied in reaching.

A more formal method to characterize the effect of background beliefs is Bayesian inference.

However, to date, no studies have determined if humans adapt their gates using Bayesian inference or not.

All Bayesian inference can be cast in terms of free energy minimisation; e.g.,.

Bayesian inference is one proposed alternative to significance testing.

Mixed graphs are also used as graphical models for Bayesian inference.

Our proposed solution is a Bayesian inference scheme, based on several layers of information processing.

Additionally, Bayesian inference has been found to play a part in adaptation of postural control.

Theoretically, this allows to solve any Bayesian inference problem.

We fit alternative model likelihoods to observed data using Bayesian inference techniques.

Bayesian inference is the method that many have argued is the most accurate.

There are other answers, notably that provided by Bayesian inference in the form of credible intervals.

Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law.

Bayesian updating and system identification were used to update the material properties used in the prediction for the test embankment.

Key words: Bayesian updating, consolidation, finite-element prediction, shear strength, stability, water-treatment sludge.

One process of belief revision is Bayesian updating and is often referenced for its mathematical basis and conceptual simplicity.

Bayesian updating the first opinion with the second (or the other way round) implies certainty that the cause is B. Dempster's rule of combination lead to the same result.