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» A flexible approach to Bayesian multiple curve fitting
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CSDA
2007
110views more  CSDA 2007»
13 years 7 months ago
Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes
This paper considers modelling spatially varying regression effects for multivariate mortality count outcomes. Alternative approaches to spatial regression heterogeneity are consi...
P. Congdon
ECCV
2004
Springer
14 years 9 months ago
MCMC-Based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points
We investigate the automated reconstruction of piecewise smooth 3D curves, using subdivision curves as a simple but flexible curve representation. This representation allows taggin...
Michael Kaess, Rafal Zboinski, Frank Dellaert
WSC
1998
13 years 8 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
CSDA
2008
117views more  CSDA 2008»
13 years 7 months ago
Parametric and nonparametric Bayesian model specification: A case study involving models for count data
In this paper we present the results of a simulation study to explore the ability of Bayesian parametric and nonparametric models to provide an adequate fit to count data, of the t...
Milovan Krnjajic, Athanasios Kottas, David Draper
INFORMS
2008
104views more  INFORMS 2008»
13 years 7 months ago
Estimating Cycle Time Percentile Curves for Manufacturing Systems via Simulation
Cycle time-throughput (CT-TH) percentile curves quantify the relationship between percentiles of cycle time and factory throughput, and they can play an important role in strategi...
Feng Yang, Bruce E. Ankenman, Barry L. Nelson