diff --git a/lectures/exchangeable.md b/lectures/exchangeable.md index 9835fdd..d534eae 100644 --- a/lectures/exchangeable.md +++ b/lectures/exchangeable.md @@ -20,10 +20,6 @@ kernelspec: # Exchangeability and Bayesian Updating -```{contents} Contents -:depth: 2 -``` - ## Overview This lecture studies learning diff --git a/lectures/imp_sample.md b/lectures/imp_sample.md index 3520b55..fc5f377 100644 --- a/lectures/imp_sample.md +++ b/lectures/imp_sample.md @@ -13,10 +13,6 @@ kernelspec: # Computing Mean of a Likelihood Ratio Process -```{contents} Contents -:depth: 2 -``` - ## Overview In {doc}`this lecture ` we described a peculiar property of a likelihood ratio process, namely, that it's mean equals one for all $t \geq 0$ despite it's converging to zero almost surely. diff --git a/lectures/likelihood_ratio_process.md b/lectures/likelihood_ratio_process.md index 806ee6c..90388b2 100644 --- a/lectures/likelihood_ratio_process.md +++ b/lectures/likelihood_ratio_process.md @@ -20,11 +20,6 @@ kernelspec: # Likelihood Ratio Processes -```{contents} Contents -:depth: 2 -``` - - ## Overview This lecture describes likelihood ratio processes and some of their uses. diff --git a/lectures/lln_clt.md b/lectures/lln_clt.md index 91cbc2b..cc77d23 100644 --- a/lectures/lln_clt.md +++ b/lectures/lln_clt.md @@ -26,10 +26,6 @@ kernelspec: ```{index} single: Central Limit Theorem ``` -```{contents} Contents -:depth: 2 -``` - ## Overview This lecture illustrates two of the most important theorems of probability and statistics: The diff --git a/lectures/mle.md b/lectures/mle.md index cf30739..4e07b57 100644 --- a/lectures/mle.md +++ b/lectures/mle.md @@ -19,10 +19,6 @@ kernelspec: # Maximum Likelihood Estimation -```{contents} Contents -:depth: 2 -``` - ## Overview In a {doc}`previous lecture `, we estimated the relationship between diff --git a/lectures/multi_hyper.md b/lectures/multi_hyper.md index 89318ee..9748745 100644 --- a/lectures/multi_hyper.md +++ b/lectures/multi_hyper.md @@ -20,10 +20,6 @@ kernelspec: # Multivariate Hypergeometric Distribution -```{contents} Contents -:depth: 2 -``` - ## Overview This lecture describes how an administrator deployed a **multivariate hypergeometric distribution** in order to access the fairness of a procedure for awarding research grants. diff --git a/lectures/multivariate_normal.md b/lectures/multivariate_normal.md index 5509cae..bbeeb58 100644 --- a/lectures/multivariate_normal.md +++ b/lectures/multivariate_normal.md @@ -20,10 +20,6 @@ kernelspec: # Multivariate Normal Distribution -```{contents} Contents -:depth: 2 -``` - ## Overview This lecture describes a workhorse in probability theory, statistics, and economics, namely, diff --git a/lectures/navy_captain.md b/lectures/navy_captain.md index 6a2da87..6659eee 100644 --- a/lectures/navy_captain.md +++ b/lectures/navy_captain.md @@ -20,10 +20,6 @@ kernelspec: # Bayesian versus Frequentist Decision Rules -```{contents} Contents -:depth: 2 -``` - In addition to what's in Anaconda, this lecture will need the following libraries: ```{code-cell} ipython diff --git a/lectures/ols.md b/lectures/ols.md index d1ffbaa..825c340 100644 --- a/lectures/ols.md +++ b/lectures/ols.md @@ -19,10 +19,6 @@ kernelspec: # Linear Regression in Python -```{contents} Contents -:depth: 2 -``` - In addition to what's in Anaconda, this lecture will need the following libraries: ```{code-cell} ipython diff --git a/lectures/prob_matrix.md b/lectures/prob_matrix.md index 783a9a2..2751b4d 100644 --- a/lectures/prob_matrix.md +++ b/lectures/prob_matrix.md @@ -1320,8 +1320,6 @@ x_mesh, y_mesh = np.meshgrid(x, y, indexing="ij") Let's plot the **population** joint density. ```{code-cell} ipython3 -# %matplotlib notebook - fig = plt.figure() ax = plt.axes(projection='3d') @@ -1330,8 +1328,6 @@ plt.show() ``` ```{code-cell} ipython3 -# %matplotlib notebook - fig = plt.figure() ax = plt.axes(projection='3d') diff --git a/lectures/troubleshooting.md b/lectures/troubleshooting.md index 60b999a..650b581 100644 --- a/lectures/troubleshooting.md +++ b/lectures/troubleshooting.md @@ -20,10 +20,6 @@ kernelspec: # Troubleshooting -```{contents} Contents -:depth: 2 -``` - This page is for readers experiencing errors when running the code from the lectures. ## Fixing Your Local Environment diff --git a/lectures/wald_friedman.md b/lectures/wald_friedman.md index c43ea6b..f51a31a 100644 --- a/lectures/wald_friedman.md +++ b/lectures/wald_friedman.md @@ -27,10 +27,6 @@ kernelspec: ```{index} single: Models; Sequential analysis ``` -```{contents} Contents -:depth: 2 -``` - In addition to what's in Anaconda, this lecture will need the following libraries: ```{code-cell} ipython3