Results 341 to 350 of about 2,535,602 (380)
Bayesian Inference for Lancaster Probabilities [PDF]
, 2008 Inference for bivariate distributions with fixed marginals is very important in applications. When a bayesian approach is followed, the problem of defining a (prior) distribution on a class of probabilities having given marginals arises. We consider the class of Lancaster distributions.
CIFARELLI, DONATO MICHELE +2 more
openaire +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Bayesian Inference with Indeterminate Probabilities
PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, 1976There is an increasing recognition by friends of personal probability that the standard systems of personal probability do not provide a fully adequate basis for the theories of scientific inference and rational decision making. This recognition has methodological and formal components.
openaire +2 more sources
An Introduction to Bayesian Probability Theory
2009In the Chapter, some basic concepts of Bayesian probability theory are presented, as they provide the theoretical background for subsequent work. Hereinafter, multi-objective optimisation problems will be regarded in terms of search for information: the choice of the Bayesian theoretical structure relies on its power and flexibility in treating such ...
openaire +2 more sources
Bayesian Revision of Probability Estimates
2019In this chapter we introduce Bayesian methods for updating model parameters based on new project-specific data. We provide formal introduction of Bayes theorem to update parameters of probability distributions used in project risk analysis. We discuss examples of updating the probability of arrival of machine breakdown and new change orders using Bayes
Kenneth F. Reinschmidt, Ivan Damnjanovic
openaire +2 more sources
Application of Bayesian approaches in drug development: starting a virtuous cycle
Nature Reviews Drug Discovery, 2023Lisa M Lavange, Stephen J Ruberg
exaly
Bayesian reaction optimization as a tool for chemical synthesis
Nature, 2021Jason M Stevens, Jun Li, Ryan P Adams
exaly
Assessing landslide susceptibility using Bayesian probability-based weight of evidence model
Bulletin of Engineering Geology and the Environment, 2014E. Sujatha +2 more
semanticscholar +1 more source