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Dan

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Name Dan
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May
18
answered Existence of dominating measure for weak*-compact set of measures
Apr
12
comment Absolute continuity of probabilities on Polish spaces and open sets.
No: If $P$ is Lebesgue measure on $[0,1]$, then $P(E) > 0$ for every open set $E$, and every probability measure $Q$ on $[0,1]$ vacuously satisfies your assumption.
Mar
1
comment Wasserstein distance between two diffusion processes.
Explicit formulas may be too much to hope for in general, but you can certainly bound the distance, at least if the $f_i,\sigma_i$ are Lipschitz. Solve the SDEs strongly, with respect to the same Brownian motion, and then use the inequality $W(P_1,P_2)^2 \le \mathbb{E}[\int_0^T(X_t - Y_t)^2dt]$ along with standard stability estimates.
Feb
19
comment Hausdorff distance and sum of independent variables
If $F$ degenerate and $N$ nondegenerate there is no convergence, since $\sigma(F)$ is trivial and $\sigma(F + \epsilon N) = \sigma(N)$ is not.
Jan
30
answered Metrization of weak convergence of signed measures
Jan
30
accepted Is an L_1 bounded sequence of random variables with uniformly converging CDFs uniformly integrable?
Jan
29
answered Is an L_1 bounded sequence of random variables with uniformly converging CDFs uniformly integrable?
Dec
29
comment When is a space of measures a measurable space?
@Gerald: Unless I'm missing something, the topology generated by the maps $\mu \mapsto \mu(A)$ for $A \in \Sigma$ is weaker than the total variation topology. In particular, it is not discrete, and its Borel $\sigma$-algebra contains the cylindrical $\sigma$-algebra proposed by Gerald. The inclusion will usually be strict when $\Sigma$ is infinite, as suggested by the nonseparability of the topology. Bogachev's Measure Theory Vol I discusses this topology, beginning on page 291.
Dec
22
awarded  Enthusiast