as soon as  is submitted to ZB.
		
    Inference for diffusion processes.
        
        Heidelberg: Springer, 2013. 430 S.
    
    
    
	    © Springer-Verlag Berlin Heidelberg 2013. All rights are reserved. Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the natural sciences but also in finance and economics. Their mathematical theory, however, is challenging, and hence diffusion modelling is often carried out incorrectly, and the according statistical inference is considered almost exclusively by theoreticians. This book explains both topics in an illustrative way which also addresses practitioners. It provides a complete overview of the current state of research and presents important, novel insights. The theory is demonstrated using real data applications.
	
	
      Scopus
Cited By
		Cited By
Altmetric
		
	    67
		
	    Annotations
	    
		
		     
		    
		
	    
	
		
	
	    Special Publikation
	    
		
		     
		
	    
	
	
	
	    Hide on homepage
	    
		
		     
		
	    
	
	
        Publication type
        Book: Monograph
    
 
     
     
    
     
     
    
    
        Language
        english
    
 
    
        Publication Year
        2013
    
 
     
    
        HGF-reported in Year
        2013
    
 
    
     
     
    
        ISBN
        978-3-642-25968-5
    
     
     
	     
	 
	 
     
	
    
        Quellenangaben
        
	    
	    
	    Pages: 430 S. 
	    
	    
	
    
 
    
         
        
            Publisher
            Springer
        
 
        
            Publishing Place
            Heidelberg
        
 
	
         
         
         
         
         
	
         
         
         
    
         
         
         
         
         
         
         
     
     
    
        POF-Topic(s)
        30505 - New Technologies for Biomedical Discoveries
    
 
    
        Research field(s)
        Enabling and Novel Technologies
    
 
    
        PSP Element(s)
        G-503700-004
    
 
     
     	
    
    
        Scopus ID
        84949176195
    
    
        Scopus ID
        84929554064
    
    
        Erfassungsdatum
        2013-11-13