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DOC: Update README #690

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Oct 16, 2023
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DOC: Update README #690

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10 changes: 5 additions & 5 deletions README.md
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Expand Up @@ -75,7 +75,7 @@ Contributions are welcome. There are opportunities at many levels to contribute:
- Student's T
- Generalized Error Distribution

See the [univariate volatility example notebook](https://nbviewer.ipython.org/github/bashtage/arch/blob/main/examples/univariate_volatility_modeling.ipynb) for a more complete overview.
See the [univariate volatility example notebook](https://bashtage.github.io/arch/univariate/univariate_volatility_modeling.html) for a more complete overview.

```python
import datetime as dt
Expand All @@ -101,7 +101,7 @@ res = am.fit()
- Zivot-Andrews
- Variance Ratio tests

See the [unit root testing example notebook](https://nbviewer.ipython.org/github/bashtage/arch/blob/main/examples/unitroot_examples.ipynb)
See the [unit root testing example notebook](https://bashtage.github.io/arch/unitroot/unitroot_examples.html)
for examples of testing series for unit roots.

<a id="unit-root"></a>
Expand All @@ -116,7 +116,7 @@ for examples of testing series for unit roots.
- Dynamic OLS
- Fully Modified OLS

See the [cointegration testing example notebook](https://nbviewer.ipython.org/github/bashtage/arch/blob/main/examples/unitroot_cointegration_examples.ipynb)
See the [cointegration testing example notebook](https://bashtage.github.io/arch/unitroot/unitroot_cointegration_examples.html)
for examples of testing series for cointegration.

<a id="bootstrap"></a>
Expand All @@ -134,7 +134,7 @@ for examples of testing series for cointegration.
- Apply method to estimate model across bootstraps
- Generic Bootstrap iterator

See the [bootstrap example notebook](https://nbviewer.ipython.org/github/bashtage/arch/blob/main/examples/bootstrap_examples.ipynb)
See the [bootstrap example notebook](https://bashtage.github.io/arch/bootstrap/bootstrap_examples.html)
for examples of bootstrapping the Sharpe ratio and a Probit model from statsmodels.

```python
Expand Down Expand Up @@ -172,7 +172,7 @@ ci = bs.conf_int(sharpe_ratio, 1000, method='percentile')
- Stepwise (StepM)
- Model Confidence Set (MCS)

See the [multiple comparison example notebook](https://nbviewer.ipython.org/github/bashtage/arch/blob/main/examples/multiple-comparison_examples.ipynb)
See the [multiple comparison example notebook](https://bashtage.github.io/arch/multiple-comparison/multiple-comparison_examples.html)
for examples of the multiple comparison procedures.

<a id="long-run-covariance"></a>
Expand Down