154 reputation
6
bio website
location Columbus, OH
age 30
visits member for 1 year, 10 months
seen Jul 28 at 15:44

I'm a Ph.D. student in statistics, who used to work as an actuary (student, really, because I didn't reach associateship).


Jul
10
awarded  Supporter
Oct
24
revised Self-study resources for basic probability?
Added 'reference-request' tag
Oct
14
awarded  Teacher
Oct
12
comment A Simple probability question
You're surely welcome. Thank you, too.
Oct
12
comment A Simple probability question
Ah! Of course! I forgot about that. If you feel inclined, you may mark my answer as accepted, but you don't have to.
Oct
12
awarded  Commentator
Oct
12
comment A Simple probability question
You're welcome! Be sure to upvote the question since you found it helpful. Thanks!
Oct
12
comment A Simple probability question
@Kevinsb, that would work; that works out to about 31311329, so you could say that there is about a 1 in 31,311,329 chance of getting 15 questions right.
Oct
11
revised annuities and interest
Added 'finance' tag
Oct
11
suggested suggested edit on annuities and interest
Oct
11
comment annuities and interest
Please do not use "homework" as the only tag for a question.
Oct
11
revised What is a blow-up?
Added 'terminology' tag
Oct
11
comment Differentiation using definition of derivatives
By providing the hint, are you implying you know the answer (and want to see if others can figure it out), or is it (rather) that you're working on homework or doing self-learning?
Oct
11
suggested suggested edit on What is a blow-up?
Oct
11
comment Relation between a random variable and its conditional expectation
@lezebulon Can you clarify what you are representing with the letter $G$? Is $G$ an event (such as "$G$ is the event that $X > 0$")? Or, if $G$ is a random variable, by "for any $G$ possible", do you mean "for any selection of random variable $G$", or do you mean "allowing $G$ to be any of the values in its support" (thus distinguishing $E(X|G)$ from $E(X|G=g)$)?
Oct
11
comment Relation between a random variable and its conditional expectation
The conditional probability part doesn't always work. You can only split $P(X = 0 \textrm{ and } Y \neq 0)$ into $P(Y \neq 0 | X = 0) P(X = 0)$ if $P(X = 0) \neq 0$, because, by definition, $P(Y \neq 0 | X = 0) \equiv \frac{P(X = 0 \textrm{ and } Y = 0)}{P(X = 0)}$, so $P(X = 0) = 0$ results in division by zero, making $P(Y \neq 0 | X = 0)$ undefined.
Oct
11
revised Explanation of term “closed under” in the definition of a sigma algebra?
Made title more specific, added 'terminology' tag
Oct
11
suggested suggested edit on Explanation of term “closed under” in the definition of a sigma algebra?
Oct
11
revised sigma algebra generated by random variable
Include the close-brackets in the subscript on the last two MathJaX equations of the first paragraph, capitalize Borel
Oct
11
revised Percentage of capitalization
Replaced 'statistics' tag with seemingly more-relevant 'finance' tag