Dendritic-Cells
发表于 2025-3-23 12:58:42
Rolf Irion,Fabian Schmidt-Schröderd in the discrete state space situation in Section 6.2. Through a simple random walk example, we illustrate some of the important properties of a special Markov chain, and we use R to simulate from the chain and move toward the stationary distribution.
丛林
发表于 2025-3-23 14:17:38
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沙草纸
发表于 2025-3-23 18:21:24
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产生
发表于 2025-3-23 23:03:31
Introduction to Bayesian Thinking,he computation of the posterior distribution. One summarizes this probability distribution to perform inferences. Also one may be interested in predicting the likely outcomes of a new sample taken from the population.
Callus
发表于 2025-3-24 04:07:05
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元音
发表于 2025-3-24 08:14:40
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无脊椎
发表于 2025-3-24 12:48:49
Hierarchical Modeling,rate estimates. We describe a two-stage model, a mixture of gamma distributions, to represent prior beliefs that the true mortality rates are exchangeable. We describe the use of R to simulate from the posterior distribution. We first use contour graphs and simulation to learn about the posterior distribution of the hyperparameters.
斜坡
发表于 2025-3-24 16:21:14
Regression Models,or distributions of Bayesian residuals. We then illustrate the R Bayesian computations in an example where one is interested in explaining the variation of extinction times of birds in terms of their nesting behavior, their size, and their migrant status.We conclude by illustrating the Bayesian fitting of a survival regression model.
Gingivitis
发表于 2025-3-24 22:03:59
Frank Haupenthal MBA,Maximilian Gontardsimply computes values of the posterior on a grid of points and then approximates the continuous posterior by a discrete posterior that is concentrated on the values of the grid. This brute-force method can be generally applied for oneand two-parameter problems such as those illustrated in Chapters 3 and 4.
传染
发表于 2025-3-25 01:26:43
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