From c633b1e1582a86aeacc47b4cfcb66d3f0948baaa Mon Sep 17 00:00:00 2001 From: aloctavodia Date: Mon, 15 Jul 2024 11:56:20 -0300 Subject: [PATCH] update errata --- errata.md | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/errata.md b/errata.md index 777075d..b1f305e 100644 --- a/errata.md +++ b/errata.md @@ -1,13 +1,22 @@ | Page | Printed text | Correct text | Thanks | |------|--------------|--------------|------| -| 88 (exercise 4) | wrong short url | The link should point to https://www.pymc.io/projects/docs/en/stable/learn/core_notebooks/pymc_overview.html#case-study-2-coal-mining-disasters | DrEntropy | +| 62 | We will explore the value **of** over a grid of 200 points. | We will explore the value over a grid of 200 points.| dweights | +| 88 (exercise 4) | wrong short url | The link should point to https://www.pymc.io/projects/docs/en/stable/learn/core_notebooks/pymc_overview.html#case-study-2-coal-mining-disasters | DrEntropy | +| 94 | ...the variance between observed and theoretical values should be the same for all groups.| ...the variance between observed and theoretical values should be unique for each group. | Kenji Oman | | 104 | Figure 3.6 indicates a HalfNormal | Figure 3.6 should indicate a Gamma | Jacob Warren | +| 115 | We are going to *usetemperature* | We are going to *use temperature* | Kenji Oman | | 115 | The noise term is 𝜖 | The noise term is 𝜎 | Parrenin Frédéric | +| 116 | We **commit** it because otherwise... | We **omit** it because otherwise... | Kenji Oman | | 122 | The variance of the NegativeBinomial is 𝜇 + 𝜇²/𝛼 , so the larger the value of 𝛼 the **larger** the variance. | The variance of the NegativeBinomial is 𝜇 + 𝜇²/𝛼 , so the larger the value of 𝛼 the **smaller** the variance. | Tomás Capretto | +| 124 | (or data with a few bulk points) | (or data with **only** a few bulk points) | Kenji Oman | | 133 | We have been using the linear motif to model the mean of a distribution **and, in the previous section, we used it to model interactions.** In statistics,... | We have been using the linear motif to model the mean of a distribution. In statistics,... | Jacob Warren | | 145 | In **the next chapter**, we will learn more about linear regression... | In **Chapter 6**, we will learn more about linear regression... | Tomás Capretto | | 191 | The utility of **plot_cap** ... | The utility of **plot_predictions**... | Tomás Capretto | | 194 | model_poly4 = bmb.Model("rented ∼ poly(**temperature**, degree=4)", bikes, | model_poly4 = bmb.Model("rented ∼ poly(**hour**, degree=4)", bikes, | Jacob Warren | | 195 | Figure 6.5: Posterior mean and posterior predictive distribution for the bikes model with temperature and humidity | Figure 6.5: Posterior mean and posterior predictive distribution for the polynomial bikes models with hour. | Jacob Warren | | 207 | We have been using **bmb.interpret_plot_predictions** ... One of them is **bmb.interpret_plot_comparisons**. | We have been using **bmb.interpret.plot_predictions** ... One of them is **bmb.interpret.plot_comparisons**.| Tomás Capretto | -| 208 | Another useful function is **bmb.interpret_plot_slopes** | Another useful function is **bmb.interpret.plot_slopes** | Tomás Capretto | \ No newline at end of file +| 208 | Another useful function is **bmb.interpret_plot_slopes** | Another useful function is **bmb.interpret.plot_slopes** | Tomás Capretto | +| 254 | We call **𝜙** the inverse link function and 𝜙 is... | We call **𝜓** the inverse link function and 𝜙 is... | Jacob Warren | + + +Note: on page 23, Figure 1.9 shows the kurtosis. What PreliZ actually computes is the "excess kurtosis", i.e the kurtosis -3. Thanks to Narinder Singh for pointing this out. \ No newline at end of file