A large deviations upper bound for the kernel mode estimator
    
    
  
  
  
      
      
      
        
Teoriâ veroâtnostej i ee primeneniâ, Tome 50 (2005) no. 1, pp. 189-200
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			We prove a large deviations upper bound for the kernel estimator of the mode when this one corresponds to a strict maximum of a probability density function. Surprisingly, the convergence rate we obtain is faster than one could expect in view of the weak convergence rate of the studied estimator.
			
            
            
            
          
        
      
                  
                    
                    
                    
                        
Keywords: 
density, Kernel estimator, large deviations principle.
Mots-clés : mode
                    
                  
                
                
                Mots-clés : mode
@article{TVP_2005_50_1_a13,
     author = {A. Mokkadem and M. Pelletier and J. Worms},
     title = {A large deviations upper bound for the kernel mode estimator},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {189--200},
     publisher = {mathdoc},
     volume = {50},
     number = {1},
     year = {2005},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/TVP_2005_50_1_a13/}
}
                      
                      
                    TY - JOUR AU - A. Mokkadem AU - M. Pelletier AU - J. Worms TI - A large deviations upper bound for the kernel mode estimator JO - Teoriâ veroâtnostej i ee primeneniâ PY - 2005 SP - 189 EP - 200 VL - 50 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/TVP_2005_50_1_a13/ LA - en ID - TVP_2005_50_1_a13 ER -
A. Mokkadem; M. Pelletier; J. Worms. A large deviations upper bound for the kernel mode estimator. Teoriâ veroâtnostej i ee primeneniâ, Tome 50 (2005) no. 1, pp. 189-200. http://geodesic.mathdoc.fr/item/TVP_2005_50_1_a13/
