This textbook presents an introduction to Bayesian reasoning and methods. |
In this chapter, we describe the use of R to summarize Bayesian models with several unknown parameters. In learning about parameters of a normal population ... |
When there are two (or more) unknown parameters the prior and posterior distribution will each be a joint probability distribution over pairs (or tuples/vectors) ... |
This study proposes to consider multiple parameter sets identified in the model calibration process and information on their performance for improved accuracy ... |
We propose a multi-parameter regression approach whereby the shape parameter, say γ, is regressed si- multaneously with the scale parameter. This innovation ... |
The article proposes a multi-parameter diagnostic model that relates the temperature mode, operating conditions, electrical and mechanical load parameters ... |
We propose a probabilistic generative (forward) model of the entire dataset, which is formulated and inverted to jointly recover (log) parameter maps. |
13 авг. 2023 г. · This study provides a theoretical basis for the analysis and calibration of polarization effects in a dual-coded snapshot spectral polarization imaging system. |
Abstract- In this paper, a multi-parameter model order reduction is applied to the thermal modelling and simulation of power electronics modules and air cooling ... |
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