Julian Wergieluk
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 Feb 3 awarded Necromancer Feb 3 awarded Yearling Aug 3 comment product distribution of two uniform distribution, what about 3 or more Corrected. Thanks! Aug 3 revised product distribution of two uniform distribution, what about 3 or more Corrected the range. Jun 29 revised Does the harmonic series converge if you throw out the terms containing a $9$? The word "naive" suggests that the argument is not rigorous, but it is. Also you bound $1+1/2+..+1/8$ with $8$ so $n-1$ is needed. Jun 29 suggested approved edit on Does the harmonic series converge if you throw out the terms containing a $9$? Jun 28 answered product distribution of two uniform distribution, what about 3 or more Jun 15 revised Maximum Likelihood Estimation of an Ornstein-Uhlenbeck process Fixed typos. Jun 9 comment Discrete-Time Stochastic Calculus and Stopping Times: Resources What kind of stochastic processes are interested in? Markov processes? You can have a look into first and second "Course in Stochastic Processes" of Karlin and Taylor. The books cover a variety of material, where the first concentrates on discrete time processes. Jun 6 revised Ornstein-Uhlenbeck-Model with irregular time intervals fixed a typo. Jun 6 answered Ornstein-Uhlenbeck-Model with irregular time intervals May 15 comment Approximation of distributions with dice Suggestion: For a continuous uniform random variable $U$ with values in $[0,1]$, and for a cumulative distribution function $F$, the random variable $F^{-1}(U)$ has $F$ as CDF. You could approximate $U$ with a dice by dividing the outcome by $6$. Mar 11 asked Exchangeability and conditional i.i.d. property Dec 20 awarded Caucus Dec 16 awarded Tumbleweed Dec 14 awarded Organizer Dec 14 revised Explain the result of this urn problem? removed unrelated tags Dec 14 suggested approved edit on Explain the result of this urn problem? Dec 9 comment Notation for intersection of functions Yes, but the question is, is there an established notation / symbol for that? Something like $f \cap g$. Dec 9 comment Probability of a zero product given one previous zero product $v$ and $w$ have different dimensions and their inner product is not well-defined.