Results 231 to 240 of about 167,711 (260)

On Integral Priors for Multiple Comparison in Bayesian Model Selection

International Statistical Review, EarlyView.
Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón, Juan Antonio Cano, Christian P. Robert   +2 more
wiley   +1 more source

A general framework for investigating neurodevelopment of brain functional networks using multisite and longitudinal neuroimaging. [PDF]

Ann Appl Stat
Lukemire J, Wang Y, Guo Y.
europepmc   +1 more source

Haplotype-aware segmentation with HapASeg increases accuracy of detecting homolog-specific somatic copy number alterations. [PDF]

Genome Biol
Priebe O, Solan R, Messer C, Chu C, Hess J, Getz G.   +5 more
europepmc   +1 more source

Efficient quantum thermal simulation. [PDF]

Nature
Chen CF, Kastoryano M, Brandão FGSL, Gilyén A.   +3 more
europepmc   +1 more source

Beyond Bayesian Inference: The Correlation Integral Likelihood Framework and Gradient Flow Methods for Deterministic Sampling. [PDF]

Bull Math Biol
Gwiazda P, Kazarnikov A, Marciniak-Czochra A, Szymańska Z.   +3 more
europepmc   +1 more source

The effect of exercise intervention on atherosclerosis prevention in overweight or obese adults: A Bayesian network meta-analysis of randomized controlled trials. [PDF]

PLoS One
Yang C, Xu Y, Li X, Yu H, Wang M, Yang B.   +5 more
europepmc   +1 more source

Multidimensional Generalized Partial Preference Model for Forced-Choice Items. [PDF]

Psychometrika
Furr DC, Fu J.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

EnKF-MCMC

SPE EUROPEC/EAGE Annual Conference and Exhibition, 2010
Abstract The ensemble Kalman filter (EnKF) has recently become a popular history-matching tool largely because of its computational efficiency and ease of implementation. While EnKF has improved a previous history match obtained manually in several field cases, and often appears to give reasonable results for realistic synthetic history ...
Alexandre A. Emerick, Albert C. Reynolds
openaire   +1 more source