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--- en:cs [2019/06/18 03:47] – tdenoeux
+++ en:cs [2019/07/19 05:09] – tdenoeux
@@ Line 3: / Line 3: @@
 **Instructor:** Thierry Denoeux
-Description: This workshop will present the main modern and classical methods of statistical computing, with examples from econometrics. The course will be composed of six chapters structured in two main parts introducing the foundations of statistical computing. Computer projects will be proposed using the R statistical software.
+Description: This course will present the main modern and classical methods of statistical computing, with examples from econometrics. The course will be composed of six chapters structured in two main parts introducing the foundations of statistical computing. Computer projects will be proposed using the R statistical software.
 **Program**
@@ Line 36: / Line 36: @@
   - {{:en:continuous_optimization.pdf|Continuous optimization}}
-    * {{ :en:continuous_optimization_ex1_2.r.zip |Solution of exercises 1 and 2}}
-    * {{ :en:continuous_optimization_ex3_4.r.zip |Solution of exercises 3 and 4}}
   - {{ :en:combinatorial_optimization_project.pdf |Combinatorial optimization}}
-    * {{ :en:chapter2_exercises.r.zip |Solution}}
   - {{ :en:exercises_chapter3.pdf |EM algorithm}}
-    * {{ :en:chapter3_exercices1_2.r.zip |Solution of exercises 1 and 2}}
   - {{ :en:latent_class_regression.pdf |Latent class regression}}
-    * {{ :en:program_efficiency.r.zip |Solution}}
   - {{ :en:exercises_chapter4.pdf |Classical simulation}}
-    * {{ :en:chapter4_exercise1.r.zip |Solution of exercise 1}}
   - {{ :en:exercises_chapter5.pdf |MCMC methods}}
-    * {{ :en:chapter5_exercises1_2.r.zip |Solution of exercises 1 and 2}}
   - {{ :en:exercises_chapter6.pdf |Bootstrapping}}
-    * {{ :en:chapter6_exercises.r.zip |Solutions}}
-**Exam**
-  - {{ :en:exam_2019.pdf |Final exam 2019}}
 **Data**

UMR CNRS 7253

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