OhMyMarkov
				
				
			 
			
	
	
	
		
	
	
			
		
		
			
			
				
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Hello everyone!
Suppose we have multiple hypothesis, $H_1, H_2,\dots ,H_N$ of equal likelihood, and we wish to choose the unobserved parameter $\theta _m$ according to the following decision rule: $m _0 = arg \max _m p(x|H_m)$.
What if there are infinitely many hypotheses? (the case is countable but infinite)
				
			Suppose we have multiple hypothesis, $H_1, H_2,\dots ,H_N$ of equal likelihood, and we wish to choose the unobserved parameter $\theta _m$ according to the following decision rule: $m _0 = arg \max _m p(x|H_m)$.
What if there are infinitely many hypotheses? (the case is countable but infinite)
 
 
		 
 
		