UMR CNRS 7253

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en:cs [2024/02/04 07:54] tdenoeuxen:cs [2024/03/25 14:04] tdenoeux
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 **Slides** **Slides**
   - {{ :en:cs_chapter1_2024.pdf |Continuous optimization}}   - {{ :en:cs_chapter1_2024.pdf |Continuous optimization}}
-  +  - {{ :en:cs_chapter2_2024.pdf |Combinatorial optimization}} 
- +  - {{ :en:cs_chapter3_2024.pdf |EM agorithm}} 
-**Recordings**+  - {{ :en:cs_chapter4_2024.pdf |Classical simulation of probability distributions}} 
 +  - {{ :en:cs_chapter5_2024.pdf |Markov Chain Monte Carlo methods}} 
 +  - {{ :en:cs_chapter6_2024.pdf |Bootstrapping}}
  
  
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     - {{ :en:solutions_chapter1.pdf | Solutions}}     - {{ :en:solutions_chapter1.pdf | Solutions}}
   - {{ :en:exercises_chapter2.pdf |Combinatorial optimization}}   - {{ :en:exercises_chapter2.pdf |Combinatorial optimization}}
 +    - {{ :en:solutions_chapter2.pdf |Solutions}}
   - {{ :en:exercises_chapter3.pdf |EM algorithm}}   - {{ :en:exercises_chapter3.pdf |EM algorithm}}
 +    - {{ :en:solutions_chapter3.pdf |Solutions}}
   - {{ :en:exercises_chapter4.pdf |Classical simulation}}   - {{ :en:exercises_chapter4.pdf |Classical simulation}}
 +    - {{ :en:solutions_chapter4.pdf |Solutions}}
   - {{ :en:exercises_chapter5.pdf |Markov Chain Monte Carlo}}   - {{ :en:exercises_chapter5.pdf |Markov Chain Monte Carlo}}
 +    - {{ :en:solutions_chapter5.pdf |Solutions}}
   - {{ :en:exercises_chapter6.pdf |Bootstapping}}   - {{ :en:exercises_chapter6.pdf |Bootstapping}}
 +    - {{ :en:solutions_chapter6_ex1_2.pdf |Solutions of Ex.1&2}}
 +  - {{ :en:problem_probit_labor.pdf |Final problem}}
  
 **Data** **Data**
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   - {{:en:wages.txt|Wages-productivity}}   - {{:en:wages.txt|Wages-productivity}}
   - {{ :en:construction.txt.zip |Residential building}} (see description [[https://archive.ics.uci.edu/ml/datasets/Residential+Building+Data+Set#|here]])   - {{ :en:construction.txt.zip |Residential building}} (see description [[https://archive.ics.uci.edu/ml/datasets/Residential+Building+Data+Set#|here]])
 +  - {{ :en:communities_and_crime.zip |Communities and crime}}

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