| xvi |
...and may require a couple read troughs |
...and may require a couple read-throughs |
Thanks John M. Shea |
| xvi |
For a reference on Python, or how to setup the computation environment needed for this book, go to README.md in Github to understand how to setup a code environment |
For a reference on how to setup the computation environment needed for this book, go to README.md in GitHhub. |
|
| 8 |
...it will depends on the result... |
...it will depend on the result.. |
Thanks Ero Carrera |
| 9 |
...or simple the posterior. |
...or simply the posterior. |
Thanks Ero Carrera |
| 26 |
1E8. Rerun Code block |
1E8. Rerun Code Block |
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| 42 |
Plotting the ESS for specifics quantiles az.plot_ess(., kind="quantiles" |
Plotting the ESS for specifics quantiles az.plot_ess(., kind="quantiles") |
Thanks Juan Orduz |
| 73 |
...the thin line is the interquartile range from 25% to 75% of the posterior and the thick line is the 94% Highest Density Interval |
the thick line is the interquartile range and the thin line is the 94% Highest Density Interval |
Thanks Jose Roberto Ayala Solares |
| 75 |
... is the intercept only regression model from |
is the intercept only regression model in Code Block |
|
| 183 |
...a backshift operator, also called Lag operator) |
...a backshift operator **(**also called Lag operator) |
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| 191 |
(footnote) The Stan implementation of SARIMA can be found in https://github.com/asael697/**varstan**. |
The Stan implementation of SARIMA can be found in e.g., https://github.com/asael697/**bayesforecast**. |
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| 197 |
we can apply the Kalman filter to to obtains the posterior |
we can apply the Kalman filter to obtain the posterior |
|
| 262 |
(In Figure 9.1.) Model Compasion |
Model Comparison |
Thanks Ben Vincent |
| 265 |
foraging for ingredients are growing by themselves. |
foraging for ingredients that are growing by themselves. |
|
| 267 |
(In Code Block 9.1) df = pd.read_csv("../data/948363589_T_ONTIME_MARKETING.zip", |
df = pd.read_csv("../data/948363589_T_ONTIME_MARKETING.zip") |
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| 276 |
We can also generate a visual check with 9.7which |
We can also generate a visual check with Code Block 9.7 which |
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| 276 |
... a cross section area of .504 inches (12.8mm) by .057 inches (1.27)... |
... a cross section area of .504 inches (12.8 mm) by .057 inches (1.27 mm)... |
Thanks Juan Orduz |
| 318 |
As you can see, there is a lot of rooms for... |
As you can see, there is a lot of room for... |
|
| 344 |
...will make the skweness independent... |
...will make the skewness independent... |
Thanks Alihan Zihna |
| 371 |
...a simple Python implementation in Code block |
...simple Python implementation in Code Block |
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| 376 |
We can see that all these trajectories when wrong. We call this kind these divergences and we can used as diagnostics of the HMC samplers. |
We can see that all these trajectories went wrong. We call this kind of trajectories divergences and can be used as a diagnostic of HMC samplers |
Thanks Alihan Zihna |
| 380 |
... if you future lab... |
... if your future lab... |
Thanks Alihan Zihna |
| 385 |
...more parameters than can be justified by the data.[2] |
... more parameters than can be justified by the data. |
|