Results 231 to 240 of about 844,595 (275)
Some of the next articles are maybe not open access.
2005
Abstract We return in this chapter to the general Bayesian formalism for a single model. So far we have worked out everything in terms of the posterior distribution p(w D) of the model parameters w, given the data D; to get predictions, we need to integrate over this distribution.
A C C Coolen, R Kühn, P Sollich
openaire +1 more source
Abstract We return in this chapter to the general Bayesian formalism for a single model. So far we have worked out everything in terms of the posterior distribution p(w D) of the model parameters w, given the data D; to get predictions, we need to integrate over this distribution.
A C C Coolen, R Kühn, P Sollich
openaire +1 more source
1999
Abstract This chapter studies some examples of processes that are Gaussian or conditionally Gaussian.
openaire +1 more source
Abstract This chapter studies some examples of processes that are Gaussian or conditionally Gaussian.
openaire +1 more source
Molecular imaging in oncology: Current impact and future directions
Ca-A Cancer Journal for Clinicians, 2022Steven P Rowe, Martin G Pomper
exaly
Gaussian Process Regression for Materials and Molecules
Chemical Reviews, 2021Volker L Deringer +2 more
exaly