cortex 发表于 2025-3-25 04:26:55
The Bayesian Choice,nferences. We introduce new tools as the probability of relevance or the guaranteed value at a given probability. We will see the advantages of comparing treatments using ratios instead of differences. We will learn one of the main advantages of Bayesian procedures, the possibility of marginalisatioMirage 发表于 2025-3-25 11:19:15
The Baby Model,distributed and we only have to estimate the mean and variance of the Normal distribution. In Chaps. ., . and ., we will see models that are more complex. We will find first analytical solutions to understand better the meaning of conditional and marginal distributions, and we will use Gibbs samplinArroyo 发表于 2025-3-25 14:28:58
,The Linear Model: I. The ‘Fixed Effects’ Model,f variance and covariance. We will see what in a frequentist context, to a ‘fixed effects model.’ We discussed in Chap. . the differences between ‘fixed’ and ‘random’ effects in a classical context. In a Bayesian context, all effects are random because in a Bayesian context, uncertainty is describedAllowance 发表于 2025-3-25 17:53:20
,The Linear Model: II. The ‘Mixed’ Model,n Chap. ., Sect. 1.5, we have explained the differences between fixed and random effects in a frequentist context. However, as we said in Chap. ., in a Bayesian context, all effects are random; thus, there is no distinction between fixed models, random models or mixed models. Nevertheless, we keep tBlasphemy 发表于 2025-3-25 22:31:13
http://reply.papertrans.cn/19/1819/181836/181836_25.png忘恩负义的人 发表于 2025-3-26 03:58:13
Prior Information,iscuss here why this is so rarely done, at least in the biological application. Hitherto, we have assumed that prior distributions were flat or they had a convenient conjugated form, but we have derived the discussion about prior information to this chapter. Bayesian inference has been questioned du废墟 发表于 2025-3-26 04:24:26
Model Selection,ts and effects of interest and we described which was the prior information of these effects, or in a frequentist context whether they were ‘fixed’ or ‘random’. We have assumed we know the right model without discussing whether there was a more appropriate model for our inferences. We can think that禁止,切断 发表于 2025-3-26 09:36:40
Human Capital in the Middle Eaststimators, maximum likelihood, etc., and we examine the most common misunderstandings about them. We will see the limitations of classical statistics in order to stress the advantages of using Bayesian procedures in the following chapters.Anonymous 发表于 2025-3-26 15:26:42
http://reply.papertrans.cn/19/1819/181836/181836_29.png衰弱的心 发表于 2025-3-26 18:54:21
Human Casualties in Earthquakesdistributed and we only have to estimate the mean and variance of the Normal distribution. In Chaps. ., . and ., we will see models that are more complex. We will find first analytical solutions to understand better the meaning of conditional and marginal distributions, and we will use Gibbs samplin