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    	schedule
	2021
	spring
	STAT
	433


    
    
        

            

            
                
                    
                        STAT 433

                        
                            
                            spring 2021
                            
                            
                                 

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                    Stochastic Processes
                    	Course in Catalog
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    Credit: 3 OR 4 hours.
                    
    


    
        
            A stochastic process is a random process that represents the evolution of some system over time. Topics may include discrete-time and continuous-time Markov chains, birth-and-death chains, branching chains, stationary distributions, random walks, Markov pure jump processes, birth-and-death processes, renewal processes, Poisson process, queues, second order processes, Brownian motion (Wiener process), and Ito's lemma. 

        
        
    


    
    
        3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 400 required, STAT 410 preferred, and MATH 225 (or equivalent knowledge of Linear Algebra) highly recommended.

    



    



    

    

 
  

                
    
            
    
            
            
            
                
                    
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