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doc/examples/py_double_ml_gate_plr.ipynb

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"We define a data generating process to create synthetic data to compare the estimates to the true effect. The data generating process is based on the Monte Carlo simulation from [Oprescu et al. (2019)](http://proceedings.mlr.press/v97/oprescu19a.html).\n",
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"The documentation of the data generating process can be found [here](https://docs.doubleml.org/dev/api/api.html#dataset-generators). In this example the true effect depends only the first covariate $X_0$ and takes the following form\n",
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"The documentation of the data generating process can be found [here](https://docs.doubleml.org/dev/api/datasets.html#dataset-generators). In this example the true effect depends only the first covariate $X_0$ and takes the following form\n",
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"$$\n",
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"\\theta_0(X) = \\exp(2X_0) + 3\\sin(4X_0).\n",

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