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- W4293498800 abstract "Any data modeling exercise has two main components: parameter estimation and model selection. The latter will be the topic of this lecture note. More concretely we will introduce several Monte-Carlo sampling-based rules for model selection using the maximum a posteriori (MAP) approach. Model selection problems are omnipresent in signal processing applications: examples include selecting the order of an autoregressive predictor, the length of the impulse response of a communication channel, the number of source signals impinging on an array of sensors, the order of a polynomial trend, the number of components of a NMR signal, and so on." @default.
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- W4293498800 date "2022-09-01" @default.
- W4293498800 modified "2023-10-13" @default.
- W4293498800 title "The Monte-Carlo Sampling Approach to Model Selection: A Primer [Lecture Notes]" @default.
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- W4293498800 doi "https://doi.org/10.1109/msp.2022.3177872" @default.
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