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As somebody used to say:

Does research. Smokes. Battles administration. Smokes. Wishes he could stop battling administration so that he could have more time to do research. Smokes some more.

The same. Except I do not smoke.


How to ask a good question?

This paragraph is for my personal use but freely available:

Welcome to Math.SE! Please, consider updating your question to include what you have tried and where you are getting stuck. That way, people on this site will know exactly what help you need.


32m
comment Random variables and Linearity
Definition, wikipedia, textbooks, anything.
37m
comment Random variables and Linearity
Note that P(Y=y)=0 for every y.
4h
comment Expected value of integrals of a gaussian process
Oops, somehow I convinced myself that your B stood for Brownian motion. Sorry about that. The edited version deals with the setting you describe.
1d
comment Random Walk With Absorbing Barrier
It might be easier to receive answers if you say what you tried and where you are stopped.
1d
comment How to solve a recurrence relation such as $T(n) = 2T(\frac{n}{2}) +$ $\frac{n}{\log (n)}$?
Because it is equivalent to the recursion in your post (do you see why?) and much more suggestive (as the rest of the answer shows).
1d
comment A book on finite state continuous time Markov chain
@Undisputed007 You know what, the book exists as a physical object as well.
1d
comment Joint distribution of arrival times in Poisson process
Indeed. $ $ $ $
1d
comment Expected value of integrals of a gaussian process
Suggestion: check a definition of Brownian motion.
1d
comment Does really convergence in distribution or in law implies convergence in PMF or PDF?
The page is not viewable. Anyway the "theorem" is wrong, as shown by the example of $X_n$ uniform on $$\bigcup_{k=1}^n((2k-1)/(2n),k/n).$$ Then $X_n\to X$ in distribution with $X$ uniform on $(0,1)$ but $f_n(x)\to1$ for no value of $x$. Let me suggest that you misread the statements that you "have found in many of (your) other text books too".
1d
comment Solution to truncated renewal function
Because $M(s)=0$ for every $s\lt\tau$ hence, for every $x\gt t$, $t+\tau-x\lt\tau$ implies $N(t-x)=M(t+\tau-x)=0$.
1d
comment Intuitive explanation of variance and moment in Probability
Why the edit, more than 4 years later?
1d
comment Elementary proof $\sum_{n> N}\frac{1}{n^2} < 1/N $
Probably not since the inequality is false for every N.
1d
comment A question about sum of n random variables
Of course not. Example: $\{(x,y)\in\mathbb R^2\mid x\lt y\}$ is open hence Borel, but not a product. Let me suggest to get a book or any kind of introductory lectures on measure theory.
1d
comment Modifying recursion matching result
Hint: Get rid of $\frac34$.
1d
comment Limit of sequence
Got something from my answer?
1d
comment How to solve a recurrence relation such as $T(n) = 2T(\frac{n}{2}) +$ $\frac{n}{\log (n)}$?
I find difficult to understand what you found difficult to understand in this as long as you only declare that you find "this" difficult to understand instead of explaining what precisely in this you find difficult to understand. Understood?
2d
comment How to solve a recurrence relation such as $T(n) = 2T(\frac{n}{2}) +$ $\frac{n}{\log (n)}$?
"because I don't think $\frac{n}{\log(n)}$ can be transformed into $n\log^{-1}n$." Actually this is (trivially) true since $\log^{-1}n$ here does not mean the reciprocal function of $\log$ evaluated at $n$ but $(\log n)^{-1}=1/\log n$.
2d
comment Radius of convergence, prove that $\sum\limits_{n=0}^{\infty} a_n z^n$ converges absolutely for every $z \in \mathbb{C}$ with $|z| < R$
Unnecessary formatting, vertical space taken to others, as explained everywhere.
2d
comment Radius of convergence, prove that $\sum\limits_{n=0}^{\infty} a_n z^n$ converges absolutely for every $z \in \mathbb{C}$ with $|z| < R$
No \displaystyle in titles, please.
2d
comment Show that $\int_0^r \frac{\mathrm{d}t}{\sqrt{r^2 - t^2}} $ is independent of $r$
Please avoid follow-ups after an answer was posted (and even, accepted...).