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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

2 votes
2 answers
310 views

How does pairwise independence restrict dependence to a third variable?

Let $X,Y,Z$ be random variables such that $X,Y,Z$ have mean $0$ and variance $1$. $X$ and $Y$ are pairwise independent. $Z$ can be arbitrarily dependent on $X$ and $Y$. My question is: What can we s …
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  • 73
0 votes
0 answers
64 views

"Marginal" Three-Series Theorem?

Let $\{X_t\}_{t=1}^\infty$ be a sequence of random variables and define the partial sums by $S_t=\sum_{s=1}^t X_s$. Kolmogorov's three-series theorem states that Theorem (Davidson, 2021, Theorem 21.8 …
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  • 73
0 votes
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75 views

Parameter derivative of the confluent hypergeometric function

Let $X$ follow a normal distribution with mean $\mu$ and variance $\sigma^2$. Mathematica gives $$ E[\log|1+X|]=\frac{1}{2}\biggl(-\gamma-\log 2+2\log\sigma-\frac{\partial}{\partial a}{}_1 F_1\biggl(0 …
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