Exact Bayesian inference for the Bingham distribution

QR Code

Exact Bayesian inference for the Bingham distribution

This paper is concerned with making Bayesian inference from data that are assumed to be drawn from a Bingham distribution. A barrier to the Bayesian approach is the parameter-dependent normalising constant of the Bingham distribution, which, even when it can be evaluated or accurately approximated,...

Full description

Bibliographic Details
Main Authors:	Fallaize, Christopher J., Kypraios, Theodore
Format:	Article
Published:	Springer 2016
Subjects:	Directional statistics; Bayesian inference; Markov Chain Monte Carlo; Doubly intractable distributions
Online Access:	https://eprints.nottingham.ac.uk/35016/

Similar Items

Modelling and Bayesian analysis of the Abakaliki smallpox data
by: Stockdale, Jessica E., et al.
Published: (2017)

Bayesian Inference for Stochastic Epidemic Models using Markov chain Monte Carlo Methods
by: Demiris, Nikolaos
Published: (2004)

A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation
by: Kypraios, Theodore, et al.
Published: (2017)

Auxiliary variables for Bayesian inference in multi-class queueing networks
by: Pérez López, Iker, et al.
Published: (2017)

A rare event approach to high-dimensional approximate Bayesian computation
by: Prangle, Dennis, et al.
Published: (2017)

A Bayesian level set method for geometric inverse problems
by: Iglesias, Marco, et al.
Published: (2016)

Bayesian interpretation of radiocarbon results
by: Christen, José Andrés
Published: (1994)

Bayesian inference and model choice for Holling’s disc equation: a case study on an insect predator-prey system
by: Papanikolaou, N.E., et al.
Published: (2016)

Stochastic epidemics conditioned on their final outcome
by: White, Simon Richard
Published: (2010)

Statistical modelling of equations of state for carbon capture, transport, and storage
by: Thomson, Michael James
Published: (2018)

Efficient SMC2 schemes for stochastic kinetic models
by: Golightly, Andrew, et al.
Published: (2017)

On the epidemic of financial crises
by: Demiris, Nikolaos, et al.
Published: (2014)

Peptide refinement using a stochastic search
by: Lewis, Nicole H., et al.
Published: (2018)

Estimation of parameters in mean-reverting stochastic systems
by: Tian, T., et al.
Published: (2014)

Declarative modelling for Bayesian inference by shallow embedding
by: Nilsson, Henrik, et al.
Published: (2014)

GARCH dependence in extreme value models with Bayesian inference
by: Zhao, X., et al.
Published: (2011)

Detecting non-binomial sex allocation when developmental mortality operates
by: Wilkinson, Richard D., et al.
Published: (2016)

Bayesian inference of Weibull distribution for right and interval censored data
by: Guure, Chris Bambey
Published: (2013)

Statistical analysis of proteomic mass spectrometry data
by: Handley, Kelly
Published: (2007)

Topics in Bayesian inference and model assessment for partially observed stochastic epidemic models
by: Aristotelous, Georgios
Published: (2020)

Mitigating Model Misspecification with Variational Bayesian Inference
by: Krissaane, Ines
Published: (2024)

Uncertainty quantification in palaeoclimate reconstruction
by: Carson, J.
Published: (2015)

Generalisation of prior information for rapid Bayesian time estimation
by: Roach, Neil, et al.
Published: (2016)

Bayesian edge-detection in image processing
by: Stephens, David A.
Published: (1990)

Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution
by: White, S.R., et al.
Published: (2015)

On noise, uncertainty and inference for computational diffusion MRI
by: Manzano Patron, Jose Pedro
Published: (2023)

Likelihood Inference In Parallel Systems Regression Models With Censored Data
by: S.M.Baklizi, Ayman
Published: (1997)

Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
by: Abusini, Sobri, et al.
Published: (2016)

Uncertainty quantification for flow and transport in porous media
by: Crevillen Garcia, David
Published: (2016)

Bayesian nonparametrics for stochastic epidemic models
by: Kypraios, Theodore, et al.
Published: (2018)

Bayesian perspectives on statistical modelling
by: Polson, Nicholas G.
Published: (1988)

Bayesian network modeling of gastrointestinal bleeding
by: Aisha, Nazziwa
Published: (2013)

Bayesian computational methods for stochastic epidemics
by: Stockdale, Jessica E.
Published: (2019)

Hierarchical Bayesian Spatial Models for Disease Mortality Rates
by: Mohamed Elobaid, Rafida
Published: (2009)

Posterior predictive scimulation Checks for hierarchical Bayesian Modelling
by: M. Elobaid, Rafida, et al.
Published: (2010)

Bayesian model selection for the glacial-interglacial cycle
by: Carson, Jake, et al.
Published: (2017)

Bayesian inferences of the thermal properties of a wall using temperature and heat flux measurements
by: Iglesias, Marco, et al.
Published: (2018)

Reconstructing transmission trees for communicable diseases using densely sampled genetic data
by: Worby, Colin J., et al.
Published: (2016)

Characterization of dumping soil and settlement prediction using Monte Carlo approach
by: Mohd Pauzi, Nur Irfah
Published: (2013)

Bayesian Network Classifiers for Damage Detection in Engineering Material
by: Mohamed Addin, Addin Osman
Published: (2007)