fix broken links

Author: SvenKlaassen

doc/conf.py

@@ -269,6 +269,10 @@
     "https://doi.org/10.1146/annurev-economics-051520-021409",
     # Valdi DOI; Causes 504 Server Error: Gateway Time-out for ...
     "https://doi.org/10.1017/CBO9781139060035.008",
+    # Valid DOI; Causes 403 Client Error: Forbidden for url:...
+    "https://doi.org/10.1097%2FEDE.0b013e3181f74493",
+    # Valid DOI; Causes 403 Client Error: Forbidden for url:...
+    "https://doi.org/10.3982/ECTA15732",
 ]
 
 # To execute R code via jupyter-execute one needs to install the R kernel for jupyter

doc/examples/learners/py_tabpfn.ipynb

@@ -28,7 +28,7 @@
     "We start by importing the necessary libraries. Note that TabPFN requires a separate installation, see [installation instructions](https://priorlabs.ai/getting_started/install/).\n",
     "\n",
     "For GPU acceleration (recommended), ensure you have CUDA-enabled PyTorch installed.\n",
-    "Instead you can also use the [TabPFN API Client](https://github.com/PriorLabs/tabpfn-client?tab=readme-ov-file#-quick-start)."
+    "Instead you can also use the [TabPFN API Client](https://github.com/PriorLabs/tabpfn-client)."
    ]
   },
   {
@@ -253,7 +253,7 @@
     "- `ml_g`: A regressor for the outcome model $g_0(D,X) = \\mathbb{E}[Y|X,D]$\n",
     "- `ml_m`: A classifier for the propensity score model $m_{0,d}(X) = \\mathbb{E}[1\\{D=d\\}|X]$\n",
     "\n",
-    "**Note**: TabPFN works best with CUDA acceleration. If CUDA is not available, it will fall back to CPU computation. Instead you can use [TabPFN API Client](https://github.com/PriorLabs/tabpfn-client?tab=readme-ov-file#-quick-start)."
+    "**Note**: TabPFN works best with CUDA acceleration. If CUDA is not available, it will fall back to CPU computation. Instead you can use [TabPFN API Client](https://github.com/PriorLabs/tabpfn-client)."
    ]
   },
   {