Added bibtex for citation.

README.md

@@ -24,36 +24,33 @@ public class Starting {
         /*  CN defined with vertex Factor  */
 
         // Define the model (with vertex factors)
-        SparseModel model = new SparseModel();
-        int A = model.addVariable(3);
+        SparseModel<VertexFactor> model = new SparseModel<>();
+              int A = model.addVariable(3);
         int B = model.addVariable(2);
+
         model.addParent(B,A);
 
         // Define a credal set of the partent node
         VertexFactor fu = new VertexFactor(model.getDomain(A), Strides.empty());
         fu.addVertex(new double[]{0., 1-p, p});
         fu.addVertex(new double[]{1-p, 0., p});
+
         model.setFactor(A,fu);
 
 
         // Define the credal set of the child
         VertexFactor fx = new VertexFactor(model.getDomain(B), model.getDomain(A));
-
         fx.addVertex(new double[]{1., 0.,}, 0);
         fx.addVertex(new double[]{1., 0.,}, 1);
         fx.addVertex(new double[]{0., 1.,}, 2);
 
         model.setFactor(B,fx);
 
         // Run exact inference
-        CredalVariableElimination inf = new CredalVariableElimination(model);
+        CredalVariableElimination<VertexFactor> inf = new CredalVariableElimination<>(model);
         inf.query(A, ObservationBuilder.observe(B,0));
-
     }
 }
-
-
-
 ``` 
 
 ## Installation
@@ -76,4 +73,32 @@ Add the following code in the  pom.xml of your project:
             <scope>compile</scope>
         </dependency>
     </dependencies>
-```
+```
+
+## Citation
+
+If you write a scientific paper describing research that made use of the CREMA library, please cite the following paper:
+
+```
+Huber, D., Cabañas, R., Antonucci, A., Zaffalon, M. (2020).
+CREMA: a Java library for credal network inference.
+In Jaeger, M., Nielsen, T.D. (Eds), 
+Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM 2020), 
+Proceedings of Machine Learning Research, PMLR, Aalborg, Denmark.
+```
+
+In BiBTeX format (for your convenience):
+
+```bibtex
+@INPROCEEDINGS{huber2020a,
+   title = {{CREMA}: a {J}ava library for credal network inference},
+   editor = {Jaeger, M. and Nielsen, T.D.},
+   publisher = {PMLR},
+   address = {Aalborg, Denmark},
+   series = {Proceedings of Machine Learning Research},
+   booktitle = {Proceedings of the 10th International Conference on Probabilistic Graphical Models ({PGM} 2020)},
+   author = {Huber, D. and Caba\~nas, R. and Antonucci, A. and Zaffalon, M.},
+   year = {2020},
+   url = {https://pgm2020.cs.aau.dk}
+}
+```