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中文题目
题目3212 · 概率

Second Moment of Centered Sum at a Poisson Horizon

Let $X_1,X_2,\dots$ be i.i.d. with mean $\mu$ and variance $3$. Let $N$ be independent of the increments and distributed as Poisson(4). Show that for the centered stopped sum $M_N=\sum_{i=1}^N (X_i-\mu)$, one has $E[M_N^2]$ equal to what value?

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题目434 · 概率

Second Failure in a Memoryless Component Array

A system has 4 independent components, each with lifetime $\operatorname{Exp}(2)$. When a component fails, it is removed and the remaining components continue operating. By memorylessness, surviving components' residual lifetimes are still $\operatorname{Exp}(2)$. Find the expect

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题目2058 · 数学

Second Log-Balance Newton Step 13

The starting guess is already positive and somewhat close, so a single Newton step is informative. Apply one Newton step to solve x + 1 ln x = 2 starting from x_0 = 2.

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题目353 · 概率

Second Moment of a Random Sum via the Tower Property

Let $N \sim \operatorname{Poisson}(4)$ and, given $N = n$, let $S = X_1 + \cdots + X_n$ where $X_i \stackrel{\text{iid}}{\sim} \operatorname{Uniform}(0,1)$. Use the tower property and the identity $E[S^2 \mid N] = \operatorname{Var}(S \mid N) + (E[S \mid N])^2$ to find $E[S^2]$.

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题目5668 · 脑筋急转弯

Secret-Santa No Self-Draw Probability

Five people draw names uniformly at random from a hat containing all five of their own names, one draw each, forming a random permutation. What is the probability that nobody draws their own name?

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题目5939 · 概率

Secretary Selection When Ties Are Possible

Three items arrive in uniformly random order. Their qualities are NOT all distinct: two of them have quality 2 (tied for best) and one has quality 1. After each item you observe its quality relative to those seen so far, reported as 'higher', 'tied', or 'lower' (so a tie is visib

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题目5940 · 概率

Secretary With an Unknown Number of Candidates

Candidates arrive one at a time in uniformly random order, but the TOTAL number N is itself random: N = 2 with probability 1/2 and N = 3 with probability 1/2, and you do not learn N in advance. After each arriving candidate you observe its rank relative to those seen so far and m

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题目4397 · 机器学习

Cross-Sectional Z-Score 2

An asset returns 1.2% today while the cross-sectional mean return of its universe is 0.4%. What demeaned return feature does the asset receive?

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题目4398 · 机器学习

Cross-Sectional Z-Score 3

A stock returns 1.5% while its sector index returns 0.9%. If the stock's sector beta is 1.2, what sector-residual return feature do you compute?

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题目4396 · 机器学习

Cross-Sectional Z-Score 1

If today's close is 100, tomorrow's open is 98, and tomorrow's close is 99, what is the next-day open-to-close return that would be used as an intraday label available after tomorrow's session?

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题目4399 · 机器学习

Cross-Sectional Z-Score 4

Yesterday's return was 1.8%. The trailing mean of completed daily returns is 0.3% and the trailing standard deviation is 0.5%. What lagged return z-score feature do you record?

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题目4400 · 机器学习

Cross-Sectional Z-Score 5

A stock closes at 50 yesterday and opens at 51 today, while the market index closes at 2000 yesterday and opens at 2020 today. If the stock's overnight beta to the market is 1.5, what market-adjusted overnight return feature do you compute?

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