Results 251 to 260 of about 44,986 (305)

Frequentist and Bayesian Predictive Inference for the Log-Logistic Distribution Under Progressive Type-II Censoring. [PDF]

Entropy (Basel)
Zhang Z, Gui W.
europepmc   +1 more source

Unconventional Fiscal Policies in Response to Inflation: The Iberian Exception in Portugal

Scottish Journal of Political Economy, EarlyView.
ABSTRACT The surge in Eurozone inflation in 2022 compelled European governments to implement unconventional fiscal policies. One initiative, the Iberian Exception, imposed a cap on the cost of natural gas used for electricity generation in Portugal and Spain.
Lourenço Cerdeira, Sofia Vale, Luís Clemente‐Casinhas   +2 more
wiley   +1 more source

Anti-adalimumab antibodies are associated with loss of response in juvenile idiopathic arthritis. [PDF]

Pediatr Rheumatol Online J
Carrim M, Shipa MRA, Bouraoui A, AlSulaim T, Fisher C, Glanville JRW, Leandro M, Sen D.   +7 more
europepmc   +1 more source

Bayesian statistics: a primer for perioperative medicine clinicians. [PDF]

Perioper Med (Lond)
Mazzinari G, Zampieri FG, Harhay MO, Schultz MJ, van Meenen DM, Serpa-Neto A.   +5 more
europepmc   +1 more source

Approximating the ideal observer for joint signal detection and estimation tasks by the use of Markov-Chain Monte Carlo with generative adversarial networks. [PDF]

J Med Imaging (Bellingham)
Li D, Li K, Zhou W, Anastasio MA.
europepmc   +1 more source

Estimating the causal effect of redlining on present-day air pollution. [PDF]

Biometrics
Zhou X, Yang S, Reich BJ.
europepmc   +1 more source

Editorial: introduction to the special issue "methodological challenges of complex latent mediator and moderator models". [PDF]

Behav Res Methods
Irmer JP, Schermelleh-Engel K, Schmidt P.   +2 more
europepmc   +1 more source

Quantum speedup for nonreversible Markov chains. [PDF]

Nat Commun
Claudon B, Piquemal JP, Monmarché P.
europepmc   +1 more source

A Bayesian Prevalence-Incidence Mixture Model for Screening Outcomes With Misclassification. [PDF]

Stat Med
Klausch T, Lissenberg-Witte BI, Coupé VMH.   +2 more
europepmc   +1 more source

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Markov Chain Monte Carlo (MCMC) Simulation and Bayes Theory

Springer Texts in Statistics, 2016
Markov Chain Monte Carlo is an innovative and widely used computational methodology for an accurate estimation of a distribution, whose direct numerical evaluation is intractable. The main idea is to construct an ergodic Markov chain which is simple to simulate and has the target distribution as its invariant probability.
Rabi Bhattacharya, Lizhen Lin, VÍCTOR Patrangenaru   +2 more
exaly   +2 more sources