Declarative modelling for Bayesian inference by shallow embedding

QR Code

Declarative modelling for Bayesian inference by shallow embedding

A common problem across science and engineering is that aspects of models have to be estimated from observed data. An instance of this familiar to control engineers is system identification. Bayesian inference is a principled way to estimate parameters: exploiting Bayes~ theorem, an equational proba...

Full description

Bibliographic Details
Main Authors:	Nilsson, Henrik, Nielsen, Thomas A.
Format:	Conference or Workshop Item
Published:	2014
Subjects:	Bayesian inference modelling shallow embedding arrows
Online Access:	https://eprints.nottingham.ac.uk/32829/

Similar Items

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)

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

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

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

Is Economic Regulation Possible? Arrow's Impossibility Theorem and the Management of Joint Use Infrastructure
by: Wills-Johnson, Nick
Published: (2007)

Exact Bayesian inference for the Bingham distribution
by: Fallaize, Christopher J., et al.
Published: (2016)

Bayesian nonparametric inference for stochastic epidemic models
by: Xu, Xiaoguang
Published: (2015)

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

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

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

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

Characterisation of glioblastoma sub-populations using mathematical modelling and inference
by: Morris, Bethan Edith
Published: (2022)

Bayesian nonparametric methods for individual-level stochastic epidemic models
by: Seymour, Rowland G.
Published: (2020)

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

Abstract modelling: towards a typed declarative language for the conceptual modelling phase
by: Legatiuk, Dmitrii, et al.
Published: (2017)

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

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

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

Global solutions and blow-up phenomena to a shallow water equation
by: Lai, S., et al.
Published: (2010)

Scale effects in shallow-water vortices
by: Heller, Valentin
Published: (2017)

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

IMB3-Miner: Mining induced/embedded subtrees by constraining the level of embedding
by: Tan, H., et al.
Published: (2006)

A Bayesian model for the unlabelled size-and-shape analysis
by: Sajib, Anamul
Published: (2018)

A review of artificial intelligence applications in shallow foundations
by: Shahin, Mohamed
Published: (2015)

Bayesian calibration, validation and uncertainty quantification for predictive modelling of tumour growth: a tutorial
by: Collis, Joe, et al.
Published: (2017)

New mathematical approaches to the quantification of uncertainty affecting the measurement of U-value
by: De Simon, Lia
Published: (2017)

Nonlinear Bayesian Filtering Using the Unscented Linear Fractional Transformation Model
by: Pasha, S., et al.
Published: (2010)

Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques
by: Googhari, Shahram Karimi
Published: (2007)

Optimal control of three-phase embedded power grids
by: Formentini, Andrea, et al.
Published: (2016)

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

Risk prediction model for knee pain in the Nottingham Community: a Bayesian modeling approach
by: Fernandes, Gwen Sascha, et al.
Published: (2017)

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

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

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

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

Shallow water substrate mapping using hyperspectral remote sensing
by: Fearns, Peter, et al.
Published: (2011)

From cargo ships to skimboards - what happens to the wave resistance hump in shallow water?
by: Gourlay, Tim
Published: (2012)

Learning priors for Bayesian perception in normal and atypical development
by: McKeown, Lucy
Published: (2024)

Bayesian minimax estimation of the normal model with incomplete prior covariance matrix specification
by: Pham, DucSon, et al.
Published: (2010)