Sato, Seisho.
Overview
            | Works: | 2 works in 2 publications in 1 languages | |
|---|---|---|
Titles
          
                  
                    Separating Information Maximum Likelihood Method for High-Frequency Financial Data
                  
                  by: 
                  Kunitomo, Naoto.; SpringerLink (Online service); Sato, Seisho.; Kurisu, Daisuke.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/aut]
                  
                
                  
                    The SIML filtering method for noisy non-stationary economic time series
                  
                  by: 
                  Sato, Seisho.; SpringerLink (Online service); Kunitomo, Naoto.
                  (Language materials, printed)
                  
                  
                
                  
                    Separating information maximum likelihood method for high-frequency financial data
                  
                  by: 
                  Sato, Seisho.; Kunitomo, Naoto.; SpringerLink (Online service); Kurisu, Daisuke.
                  (Language materials, printed)
                  
                  
                
                
          Subjects
          
            
              
                Statistics .
              
            
              
                Data Analysis and Big Data.
              
            
              
                Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
              
            
              
                Time Series Analysis.
              
            
              
                Macroeconomics
              
            
              
                Time-series analysis.
              
            
              
                Statistical Theory and Methods.
              
            
              
                Statistics for Business/Economics/Mathematical Finance/Insurance.
              
            
              
                Statistics.
              
            
              
                Statistics for Business, Management, Economics, Finance, Insurance.
              
            
              
                Commercial statistics.
              
            
              
                Applied Statistics.
              
            
              
                Statistics and Computing/Statistics Programs.