Results 31 to 40 of about 2,084,039 (283)

Bayesian Methods for Medical Test Accuracy

Diagnostics, 2011
Bayesian methods for medical test accuracy are presented, beginning with the basic measures for tests with binary scores: true positive fraction, false positive fraction, positive predictive values, and negative predictive value. The Bayesian approach is
Lyle D. Broemeling
doaj   +1 more source

Bayesian estimation of the parameter of Maxwell-Mukherjee Islam distribution using assumptions of the Extended Jeffrey's, Inverse-Rayleigh and Inverse-Nakagami priors under the three loss functions

Heliyon, 2021
A three-parameter Maxwell-Mukherjee Islam distribution was proposed by applying Maxwell generalized family of distributions introduced by Ishaq and Abiodun [17].
Aliyu Ismail Ishaq, Alfred Adewole Abiodun, Jamilu Yunusa Falgore   +2 more
doaj   +1 more source

A Tutorial on Levels of Granularity: From Histograms to Clusters to Predictive Distributions

Journal of Statistical Theory and Applications (JSTA), 2018
Consider the problem of modeling datasets such as numbers of accidents in a population of insured persons, or incidences of an illness in a population. Various levels of detail or granularity may be considered in describing the parent population.
STANLEY L. SCLOVE
doaj   +1 more source

Gamma-distribution Prior Analysis

, 2023
<p>The results of a prior analysis of the gamma-distribution-based model for the FU-DQN publication.</p ...
Anonymous
core   +1 more source

Bayesian inference for Pareto distribution with prior conjugate and prior non conjugate [PDF]

, 2020
The purpose of this study is to determine the best estimator for estimating the shape   parameters of the Pareto distribution with the known  scale parameter.
Saputri, Cici, Devianto, Dodi, YANUAR, Ferra   +2 more
core   +1 more source

Estimation model seroprevalence prior distribution.

, 2023
Prior mean, and 2.5% and 97.5% quantiles for each weekly seroprevalence in the Estimation model. The estimates were computed based on 40000 samples generated from the prior distribution of π. (TIF)
Kari Auranen (43664), Merit Melin (770039), Sangita Kulathinal (62540), Tuomo A. Nieminen (14675566), Tommi Härkänen (588871), Jukka Jokinen (328057), Arto A. Palmu (11725784)   +6 more
core   +1 more source

Quantifying Uncertainty of Insurance Claims Based on Expert Judgments

Mathematics
In Bayesian statistics, prior specification has an important role in determining the quality of posterior estimates. We use expert judgments to quantify uncertain quantities and produce appropriate prior distribution.
Budhi Handoko, Yeny Krista Franty, Fajar Indrayatna   +2 more
doaj   +1 more source

Choosing priors in Bayesian ecological models by simulating from the prior predictive distribution

Ecosphere, 2021
Bayesian data analysis is increasingly used in ecology, but prior specification remains focused on choosing non‐informative priors (e.g., flat or vague priors).
Jeff S. Wesner, Justin P. F. Pomeranz
doaj   +1 more source

Bayesian sequential procedure to estimate the viability of seeds Coffea arabica L. in tetrazolium test

Scientia Agricola
: Tetrazolium tests use conventional sampling techniques in which a sample has a fixed size. These tests may be improved by sequential sampling, which does not work with fixed-size samples.
Carla Regina Guimarães Brighenti, Marcelo Ângelo Cirillo, André Luís Alves Costa, Sttela Dellyzete Veiga Franco da Rosa, Renato Mendes Guimarães   +4 more
doaj   +1 more source

Invariant Prior Distributions

The Annals of Mathematical Statistics, 1964
The paper is mainly concerned with determining prior distributions on ignorance over parameter spaces, using invariance techniques similar to those of decision theory. Prior distributions are rarely determined exactly by such techniques and a number of less compelling methods for exact determination are given.
openaire   +2 more sources