Keyword: Bayesian modelling

Found 54 papers in total
Sampling-based uncertainty quantification in deconvolution of X-ray radiographs
Sampling-based uncertainty quantification in deconvolution of X-ray radiographs
2014,
In imaging applications that focus on quantitative analysis–such as X‐ray...
Bayesian pricing strategy for information goods
Bayesian pricing strategy for information goods
2013,
This paper studies Bayesian pricing strategy for subscription‐based information...
Predicting the shear resistance of RC beams without shear reinforcement using a Bayesian neural network
Predicting the shear resistance of RC beams without shear reinforcement using a Bayesian neural network
2012,
Advances in neural computing have shown that a neural learning approach that uses...
Life cycle reliability assessment of new products–A Bayesian model updating approach
Life cycle reliability assessment of new products–A Bayesian model updating approach
2013,
The rapidly increasing pace and continuously evolving reliability requirements of new...
A sequential approach for stochastic computer model calibration and prediction
A sequential approach for stochastic computer model calibration and prediction
2013,
Computer models are widely used to simulate complex and costly real processes and...
Continuity of the value and optimal strategies when common priors change
Continuity of the value and optimal strategies when common priors change
2012,
We show that the value of a zero‐sum Bayesian game is a Lipschitz continuous...
Congestion derivatives for a traffic bottleneck with heterogeneous commuters
Congestion derivatives for a traffic bottleneck with heterogeneous commuters
2012,
Deterministic congestion pricing has attracted most attentions in the literature. But...
Generalized Extreme Value Additive Model Analysis Via Mean Field Variational Bayes
Generalized Extreme Value Additive Model Analysis Via Mean Field Variational Bayes
2011,
We develop Mean Field Variational Bayes methodology for fast approximate inference in...
A bayesian dynamic linear model approach for real‐time short‐term freeway travel time prediction
A bayesian dynamic linear model approach for real‐time short‐term freeway travel time prediction
2011,
This paper presents a Bayesian inference‐based dynamic linear model (DLM) to...
Uncertain benefits: Application of Bayesian melding to the Alaskan Way Viaduct in Seattle
Uncertain benefits: Application of Bayesian melding to the Alaskan Way Viaduct in Seattle
2011,
Uncertainty is inherent in major infrastructure projects, but public...
Commentary–Reexamining Bayesian Model‐Comparison Evidence of Cross‐Brand Pass‐Through
Commentary–Reexamining Bayesian Model‐Comparison Evidence of Cross‐Brand Pass‐Through
2011,
Using the Bayes factor estimated by harmonic mean [1994] to compare models with and...
Bayesian Analysis of Hierarchical Effects
Bayesian Analysis of Hierarchical Effects
2011,
The idea of hierarchical, sequential, or intermediate effects has long been posited in...
Socio‐economic inequalities in mortality due to injuries in small areas of ten cities in Spain (MEDEA Project)
Socio‐economic inequalities in mortality due to injuries in small areas of ten cities in Spain (MEDEA Project)
2011,
To analyse socio‐economic inequalities in mortality due to injuries among...
Comparison study between Markov chain Monte Carlo (MCMC)-based and weight-based Bayesian methods for identification of joint distribution
Comparison study between Markov chain Monte Carlo (MCMC)-based and weight-based Bayesian methods for identification of joint distribution
2010,
The Bayesian method is widely used to identify a joint distribution, which is modeled...
Random Process Model for Urban Traffic Flow Using a Wavelet-Bayesian Hierarchical Technique
Random Process Model for Urban Traffic Flow Using a Wavelet-Bayesian Hierarchical Technique
2010,
The existing well-known short-term traffic forecasting algorithms require large...
Bounds and heuristics for optimal Bayesian inventory control with unobserved lost sales
Bounds and heuristics for optimal Bayesian inventory control with unobserved lost sales
2010,
In most retail environments, when inventory runs out, the unmet demand is lost and not...
Improved reliability modeling using Bayesian networks and dynamic discretization
Improved reliability modeling using Bayesian networks and dynamic discretization
2010,
This paper shows how recent Bayesian network (BN) algorithms can be used to model time...
Bayesian methodology for dynamic modelling
Bayesian methodology for dynamic modelling
2007,
We describe a Bayesian methodology for fitting deterministic dynamic models,...
Solving operational statistics via a Bayesian analysis
Solving operational statistics via a Bayesian analysis
2008,
For the newsvendor problem with ambiguous demand, it is known that integrating...
Modeling operational risk with Bayesian networks
Modeling operational risk with Bayesian networks
2007,
Bayesian networks are an emerging tool for a wide range of risk management...
Role of information in classical and Bayesian modelling
Role of information in classical and Bayesian modelling
2007,
Information plays a significant role in a decision-making process. Managerial...
The implementation of a Bayesian network for watershed management decisions
The implementation of a Bayesian network for watershed management decisions
2006,
Recently, the U.S. EPA issued the 303(d) list of impaired waters in Idaho State that...
The equivalence of Bayes and causal rationality in games
The equivalence of Bayes and causal rationality in games
2006,
In a seminal paper, Aumann showed how the choices of rational players could be...
Price uncertainty and consumer search: A structural model of consideration set formation
Price uncertainty and consumer search: A structural model of consideration set formation
2003,
We offer an econometric framework that models consumer's consideration set formation...
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