#likelihoods — Public Fediverse posts

'Neural Bayes estimators for censored inference with peaks-over-threshold models', by Jordan Richards, Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Raphaël Huser.

http://jmlr.org/papers/v25/23-1134.html

#censoring #likelihoods #models

'Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC', by Marko Järvenpää, Jukka Corander.

http://jmlr.org/papers/v25/21-0421.html

#mcmc #bayesian #likelihoods

'MAP- and MLE-Based Teaching', by Hans Ulrich Simon, Jan Arne Telle.

http://jmlr.org/papers/v25/23-1086.html

#likelihoods #priors #likelihood

'Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression', by Jackson Zhou, John T. Ormerod, Clara Grazian.

http://jmlr.org/papers/v24/23-0104.html

#lasso #heteroscedastic #likelihoods