All Questions
            7
            questions
        
        
            3
            votes
        
        
            1
            answer
        
        
            147
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    Existence of disintegrations for improper priors on locally-compact groups
                In wide generality, the disintegration theorem says that Radon probability measures admit disintegrations. I'm trying to understand the case when we weaken this to infinite measures, specifically ...
            
        
       
    
            2
            votes
        
        
            2
            answers
        
        
            199
            views
        
    non-homogeneous counting process
                Consider a  counting process $\{N(t), t\geq 0\}$ where the time distribution between any two consecutive events, say $k$ and $k+1$ has a Poisson rate $\lambda(k)$, which is an explicit function of $k$....
            
        
       
    
            1
            vote
        
        
            0
            answers
        
        
            142
            views
        
    Clarification about the ϵ -net argument
                I have been reading the paper Do GANs learn the distribution? Some theory and empirics.
In Corollary D.1, they reference the paper Generalization and Equilibrium in Generative Adversarial Nets which ...
            
        
       
    
            -1
            votes
        
        
            1
            answer
        
        
            75
            views
        
    Finiteness of "novel variance" from a kernel on a compact space [closed]
                Let $c(i,i')$ be a kernel function on a reasonable index space $I$. Choose a dense sequence of points $\{i_1, i_2, \cdots \} \subseteq I$, and define the one-point kernel functions $k_n := c(\cdot, ...
            
        
       
    
            4
            votes
        
        
            1
            answer
        
        
            221
            views
        
    Statistical models in terms of families of random variables
                A statistical model is a function $P : \Theta \to \Delta(X)$, where $\Theta$ is a parameter space, and $\Delta(X)$ is the set of probability measures on a state space $X$.
Suppose that $\Theta$ and $...
            
        
       
    
            6
            votes
        
        
            0
            answers
        
        
            183
            views
        
    Pettis Integrability and Laws of Large Numbers
                Let $(\Omega, \mathcal F, \mathbb P)$ be a probability space, and let $V$ be a topological vector space with a dual space that separates points. Let $v_n : \Omega \to V$ be a sequence of Pettis ...
            
        
       
    
            2
            votes
        
        
            1
            answer
        
        
            533
            views
        
    Is this a closed set?
                Let $\Theta$ and $X$ be two (Hausdorff) topological spaces. Let $\mathbb P : \Theta \to \Delta(X)$ be a "statistical model", i.e., a continuous function from parameter space $\Theta$ to the space of ...