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Joris Bierkens's user avatar
Joris Bierkens's user avatar
Joris Bierkens's user avatar
Joris Bierkens
  • Member for 12 years, 9 months
  • Last seen more than a month ago
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A Stochastic Taylor Expansion/Asymptotics
Hans, I of course agree with Yemon Choi. If you find any true errors or confusions, please point those out in a comment, and I am happy to change my answer accordingly. Also, if my approach (essentially) answers your problem, why don't you accept it as 'answer'?
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Limit of first passage time
How about $f$, is it not continuous either?
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Limit of first passage time
Are $\mu$ and $\sigma$ locally Lipschitz and in particular continuous? In this case, further assuming you have uniqueness of the martingale solution, Kallenberg Thm 21.11 gives the Feller property.
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Computing transition operators for Markov processes
added boundedness in probability argument, removed fruitless hypercontractivity approach
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Computing transition operators for Markov processes
added comment on contractivity/hypercontractivity
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Neat definition of Harris Ergodicity
Did you check Meyn, Tweedie, Stability of Markovian processes II: Continuous-time processes and sampled chains?
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High order central moments of a symmetric binomial variable
I think it is a reasonable question. To clarify, do you want a strict upper bound or instead the asymptotic behaviour as $n \rightarrow \infty$? A normal approximation of the Binomial random variable quickly gives you $E((X-n/2)^r) \approx (\sqrt{n}/2)^r (r-1)!!$, where $(r-1)!! = (r-1)(r-3) ... 1$.
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Ergodic and mixing processes
small correction of typos
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Approve
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Markov processes lacking the Feller property
fixed typo in definition of the semigroup
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