Update README.md

README.md

@@ -6,6 +6,18 @@ license: cc-by-4.0
 - [Petr PHILONENKO](https://orcid.org/0000-0002-6295-4470), Ph.D. in Computer Science;
 - [Sergey POSTOVALOV](https://orcid.org/0000-0003-3718-1936), D.Sc. in Computer Science.
 
+# Citing
+~~~
+@misc {petr_philonenko_2024,
+	author       = { {Petr Philonenko} },
+	title        = { ML_for_TwoSampleTesting (Revision a4ae672) },
+	year         = 2024,
+	url          = { https://huggingface.co/datasets/pfilonenko/ML_for_TwoSampleTesting },
+	doi          = { 10.57967/hf/2978 },
+	publisher    = { Hugging Face }
+}
+~~~
+
 # About
 This dataset is a supplement to the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting) and paper addressed to solve the two-sample problem under right-censored observations using Machine Learning. 
 The problem statement can be formualted as H0: S1(t)=S2(t) versus H: S1(t)≠S_2(t) where S1(t) and S2(t) are survival functions of samples X1 and X2.
@@ -70,19 +82,6 @@ In these files, there are following fields:
 - **SKLEARN_LogReg_test** is a statistic of the proposed ML-method based on Logistic Regression (implemented in sklearn);
 - **SKLEARN_GB_test** is a statistic of the proposed ML-method based on Gradient Boosting Machine (implemented in sklearn).
 
-# Citing
-
-~~~
-@misc {petr_philonenko_2024,
-	author       = { {Petr Philonenko} },
-	title        = { ML_for_TwoSampleTesting (Revision a4ae672) },
-	year         = 2024,
-	url          = { https://huggingface.co/datasets/pfilonenko/ML_for_TwoSampleTesting },
-	doi          = { 10.57967/hf/2978 },
-	publisher    = { Hugging Face }
-}
-~~~
-
 # Dataset Simulation
 
 For this dataset, the full source code (C++) is available [here](https://github.com/pfilonenko/ML_for_TwoSampleTesting/tree/main/dataset/simulation).