added entry jacques and murphy in production

Author: jchiquet

_bibliography/in_production.bib

@@ -1 +1,26 @@
 
+@article{jacques2025,
+  bibtex_show = {true},
+  author = {Jacques, Julien and Brendan Murphy, Thomas},
+  publisher = {French Statistical Society},
+  title = {Model-Based {Clustering} and {Variable} {Selection} for
+    {Multivariate} {Count} {Data}},
+  journal = {Computo},
+  date = {2025-07-01},
+  doi = {10.57750/6v7b-8483},
+  issn = {2824-7795},
+  langid = {en},
+  abstract = {Model-based clustering provides a principled way of
+    developing clustering methods. We develop a new model-based
+    clustering methods for count data. The method combines clustering
+    and variable selection for improved clustering. The method is based
+    on conditionally independent Poisson mixture models and Poisson
+    generalized linear models. The method is demonstrated on simulated
+    data and data from an ultra running race, where the method yields
+    excellent clustering and variable selection performance.}  
+  year    = 2025,
+  type        = {{Research article}},
+  domain      = {Statistics},
+  language    = {R},
+  repository  = {published-202507-jacques-count-data},
+}