没花的是打扰
发表于 2025-3-30 09:15:37
Marcel van OijenCovers process-based models as well as simple regression and shows how Bayesian algorithms work in an accessible way.Includes chapters on model emulation, graphical modelling, hierarchical modelling,
召集
发表于 2025-3-30 16:23:00
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Paradox
发表于 2025-3-30 17:47:13
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OVERT
发表于 2025-3-30 23:31:16
The Algebraic Structure of MetagraphsIn the examples of MCMC in the preceding chapter, no prior or likelihood was specified, nor was there any talk of a posterior distribution. So why is MCMC important for Bayesian analysis?
掺假
发表于 2025-3-31 01:27:29
Metagraphs in Workflow and Process AnalysisThis chapter answers a number of common questions about Bayesian calibration in general and MCMC in particular. Many topics are addressed elsewhere in this book at greater length (and pointers to the chapters are then given), but some are only addressed briefly here.
斗争
发表于 2025-3-31 06:34:15
Metagraphs in Workflow and Process AnalysisThis chapter discusses what needs to be done after your Bayesian calibration: how to interpret your results, what to report and how to report it with emphasis on visualisation.
滑动
发表于 2025-3-31 11:58:22
Metagraphs in Data and Rule ManagementFitting a straight line through data can be done in many ways that may seem different at first, but after closer inspection prove to be based on the same mathematics. In this chapter, we shall fit a line to data in 13 different ways and compare the resulting parameter estimates. So our goal is to estimate the intercept and the slope of the line.
SAGE
发表于 2025-3-31 17:22:20
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新奇
发表于 2025-3-31 17:43:41
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产生
发表于 2025-3-31 22:45:14
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