Results 71 to 80 of about 47,862 (173)
Modeling growth curve parameters in Peruvian llamas using a Bayesian approach
The objective of this study was to fit four nonlinear models (Brody, von Bertalanffy, Gompertz and Logistic) to realizations of llama weight, using frequentist and Bayesian approaches.
Ali William Canaza-Cayo +7 more
doaj +1 more source
Eliciting vague but proper maximal entropy priors in Bayesian experiments
Bayesian inference, Expert opinion, Kullback–Leibler distance, Shannon’s entropy, Noninformative priors, Channel coding, Sensitivity study, Weibull, 65K05, 90C35,
Nicolas Bousquet
core +1 more source
Posterior propriety of bivariate lomax distribution under objective priors
The Lomax or Pareto II, distribution has been quite widely used for reliability modeling and life testing, and applied to the sizes of computer files on servers, and even application in the biological sciences.
Sang Gil Kang (6591701) +2 more
core +1 more source
Probability matching priors: a review
In recent years, extensive work has been done concerning the derivation of noninformative prior distributions assuring approximate frequentist validity of Bayesian inferences.This paper provides a review of matching priors obtained via quantiles and via ...
Scricciolo, Catia
core +1 more source
Bayesian Analysis for Random Coefficient Regression Models Using Noninformative Priors
We apply Bayesian approach, through noninformative priors, to analyze a Random Coefficient Regression (RCR) model. The Fisher information matrix, the Jeffreys prior and reference priors are derived for this model.
Yang, R. Y.
core
The objective of this study was to evaluate the adaptability and phenotypic stability of watermelon hybrids across diverse environments in the semiarid region of Rio Grande do Norte, Brazil, using Toler’s simple linear and piecewise linear models under ...
Carla Caroline Alves Pereira +7 more
doaj
Stellar Mass Calibrations for Local Low-mass Galaxies
The stellar masses of galaxies are measured from integrated light via several methods—however, few of these methods were designed for low-mass ( M _⋆ ≲ 10 ^8 M _⊙ ) “dwarf” galaxies, whose properties (e.g., stochastic star formation, low metallicity ...
Mithi A. C. de los Reyes +12 more
doaj +1 more source
Permissible noninformative priors for the accelerated life test model with censored data. [PDF]
Zhang F, Shi Y.
europepmc +1 more source
Bayesian inference of Gaussian mixture models with noninformative priors
This paper deals with Bayesian inference of a mixture of Gaussian dis-tributions. A novel formulation of the mixture model is introduced, which includes the prior constraint that each Gaussian component is always as-signed a minimal number of data points.
Colin J. Stoneking
core
Intrinsic priors for testing exponential means
In Bayesian model selection or testing problems of different dimensions, one cannot utilize standard or default noninformative priors, since these priors are typically improper and are defined only up to arbitrary constants.
Kim, Seong W.
core

