Results 61 to 70 of about 494,632 (168)

Approximating multivariate posterior distribution functions from Monte Carlo samples for sequential Bayesian inference. [PDF]

PLoS One, 2020
Thijssen B, Wessels LFA.
europepmc   +1 more source

Etymologia: Markov Chain Monte Carlo

Emerging Infectious Diseases, 2019
Ronnie Henry
doaj   +1 more source

Cadaveric analyses of injectate distribution patterns in ultrasound-guided rotator interval, dual-target, and posterior glenohumeral injections

Insights into Imaging
Objectives Intra-articular corticosteroid injection is a standard treatment for adhesive capsulitis and is commonly performed via the rotator interval or posterior glenohumeral approaches, with prior evidence favoring the former.
Ondřej Naňka, Kamal Mezian, Ke-Vin Chang, Wei-Ting Wu, Vincenzo Ricci, Levent Özçakar   +5 more
doaj   +1 more source

Aporocotyle mariachristinae n. sp., and A. ymakara Villalba & Fernández, 1986 (Digenea: Aporocotylidae) of the pink cusk-eel, Genypterus blacodes (Ophidiiformes: Ophidiidae) from Patagonia, Argentina

Parasite, 2012
Aporocotyle mariachristinae n. sp. and A. ymakara Villalba & Fernández, 1986 were collected from the bulbus arteriosus and ventral aorta of pink cusk-eels, Genypterus blacodes (Forster, 1801) from Patagonia, Argentina. A. mariachristinae n. sp.
Hernández-Orts J.S., Alama-Bermejo G., Carrillo J.M., García N.A., Crespo E.A., Raga J.A., Montero F.E.   +6 more
doaj   +1 more source

Comments on a Posterior Distribution of Geisser and Cornfield

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1964
Summary No asymptotic justification based on convergence in probability can be found for the Fisher-Cornish density as a posterior density for the mean of a multivariate normal distribution in contrast to the univariate case.
openaire   +2 more sources

Practical Consequences of the Bias in the Laplace Approximation to Marginal Likelihood for Hierarchical Models

Entropy
Due to the high dimensional integration over latent variables, computing marginal likelihood and posterior distributions for the parameters of a general hierarchical model is a difficult task.
Subhash R. Lele, C. George Glen, José Miguel Ponciano   +2 more
doaj   +1 more source

Reference Posterior Distributions for Bayesian Inference

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1979
Summary A procedure is proposed to derive reference posterior distributions which approximately describe the inferential content of the data without incorporating any other information. More explicitly, operational priors, derived from information-theoretical considerations, are used to obtain reference posteriors which may be expected ...
openaire   +2 more sources

Bayesian Computational Methods for Sampling from the Posterior Distribution of a Bivariate Survival Model, Based on AMH Copula in the Presence of Right-Censored Data. [PDF]

Entropy (Basel), 2018
Saraiva EF, Suzuki AK, Milan LA.
europepmc   +1 more source

Bayesian estimation of genotypic and phenotypic correlations from crop variety trials

Crop Breeding and Applied Biotechnology, 2016
Genotypic and phenotypic correlations are necessary for constructing indirect selection indices. Bayesian analysis, therefore, was applied to obtain posterior distributions of the correlations, and the estimates were compared with those under a ...
Siraj Osman Omer, Abdel Wahab H Abdalla, Mohammed H. Mohammed, Murari Singh   +3 more
doaj  

An Approach to Design Adaptive Clinical Trials With Time-to-Event Outcomes Based on a General Bayesian Posterior Distribution. [PDF]

Stat Med
McGree JM, Overstall AM, Jones M, Mahar RK.   +3 more
europepmc   +1 more source