Kroese MC article

source/simon_refs.bib

@@ -705,3 +705,28 @@ @article{efron1986isn
   publisher={Taylor \& Francis Group},
   url={http://wpressutexas.net/course2011/EfronWhyEveryone1986.pdf}
 }
+
+@article{kroese2014monte,
+    author = {Kroese, Dirk P. and Brereton, Tim and Taimre, Thomas and Botev, Zdravko I.},
+    title = {Why the Monte Carlo method is so important today},
+    journal = {WIREs Computational Statistics },
+    volume = {6},
+    number = {6},
+    pages = {386-392},
+    year = {2014}
+    keywords = {Monte Carlo method, simulation, MCMC, estimation, randomized optimization},
+    doi = {10.1002/wics.1314},
+    url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/wics.1314},
+    eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1314},
+    abstract = {Since the beginning of electronic computing, people have been
+        interested in carrying out random experiments on a computer. Such Monte
+            Carlo techniques are now an essential ingredient in many
+            quantitative investigations. Why is the Monte Carlo method (MCM) so
+            important today? This article explores the reasons why the MCM has
+            evolved from a ‘last resort’ solution to a leading methodology that
+            permeates much of contemporary science, finance, and engineering.
+            WIREs Comput Stat 2014, 6:386–392. doi: 10.1002/wics.1314 This
+            article is categorized under: Statistical and Graphical Methods of
+            Data Analysis > Markov Chain Monte Carlo (MCMC) Statistical Models
+            > Simulation Models},
+}