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Questions tagged [probability]

For questions about probability. independence, total probability and conditional probability. For questions about the theoretical footing of probability use [tag:probability-theory]. For questions about specific probability distributions, use [tag:probability-distributions].

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This is a probability problem coming from physics originally. The big picture idea: A particle is moving with a fixed angular velocity on a upper half-sphere (𝑧&...
Ax Ganto's user avatar
2 votes
1 answer
124 views

What I know: $0 \leq \operatorname{Pr}(\text{Event}) \leq 1$ $\operatorname{Pr}(\text{Impossible event}) = 0$ $\operatorname{Pr}(\text{Certain event}) = 1$ If now it’s raining, can I say $\...
Hudjefa's user avatar
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The context of my question is for (Continuous Time) Markov Chains (https://en.wikipedia.org/wiki/Continuous-time_Markov_chain). I have a matrix $Q$ with the the properties: Off-diagonal elements $q_{...
stats_noob's user avatar
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2 votes
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Suppose I want to maximize: $$\text{H}[\mathbf{x}] = -\int p(\mathbf{x}) \ln p(\mathbf{x}) \text{d}{\mathbf{x}} $$ subject to the constraints $$\int p(\mathbf{x}) \text{d}{\mathbf{x}} = 1$$ $$\int p(\...
HMPtwo's user avatar
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1 vote
1 answer
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To be precised, first given a filtered probability space $\left(\Omega,\mathscr{F},(\mathscr{F}_t),P\right)$ and a $(\mathscr{F}_t)$-Brownian motion $(B_t)_{t\geq 0}$ which means that $B$ is a ...
Rayyyyy's user avatar
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7 votes
1 answer
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If we consider the sum $$A(N)=\sum_{n=1}^N \Bigg|\frac{\sin^2(n+1)}{n+1}-\frac{\sin^2n}{n} \Bigg|$$ Studying the sequence we can easily derive that it have a logarithmic-like growth: let $$ a_n=\frac{\...
Roccooi's user avatar
  • 432
3 votes
0 answers
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I am using the book GTM113 of Karatzas & Shereve to learn Doob--Meyer decomposition (Theorem 4.10 in Chapter 1) and found its proof confused. Here is the description of the problem. Let $(\mathcal{...
Tutukeainie's user avatar
1 vote
2 answers
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Consider set H for Health insurance, and consider sets P as well as Q for life insurance (...
set_theory_bandicoot's user avatar
1 vote
1 answer
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By This Math StackExchange Question we know that the imaginary number $i$ is equivalent to some "random" integer modulo a prime $p$ only if $p$ is equivalent to $1$ modulo $4$. It is also ...
Enjoys Algorithms's user avatar
14 votes
3 answers
620 views

The following question was asked by another user and then deleted. I liked my answer to the post, so I have made another post with the question and the answer. I am paraphrasing the question here, ...
stupidqnasker's user avatar
2 votes
1 answer
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I am trying to solve Problem 1.3.9 in the book by Karatzas and Shreve. It considers a Law of Large Numbers for the Poisson Process and considers it as something of a corollary to the Doob inequalities....
Midi Midi's user avatar
-1 votes
1 answer
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Let us consider $X_1,\ldots X_n$ be i.i.d. random vectors taking values in $\mathbb R^d$. Let us consider the U-statistic $$ U_n := \binom{n}{m}^{-1}\sum_{1\leq i_1<\ldots <i_m\leq n}h(X_{i_1},\...
CantorEuler1996's user avatar
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Let $S$ be a finite set and $p:S\to [0,1]$ a probability mass function on $S$, i.e. $\sum_{s\in S} p(s)=1$. For any subset $U\subset S$ define a probability mass function $q_U:S\to [0,1]$ via $$q_U(s) ...
Joseph Expo's user avatar
4 votes
2 answers
197 views

Edited: Correct formula for $\text{Var}(S_2)$ and $\text{Cov}(S_1,S_2)$ Note: My error (not corrected below) with $\text{Var}(S_2)$ noted by btilly below due to incorrect formula I used. The correct ...
josh's user avatar
  • 185
0 votes
2 answers
58 views

Consider two random variables $y_1$ and $y_2$, where $y_1$ is symmetrically distributed around $0$ and $y_2 = y_1 ^2$. $$E_{y_1,y_2}[y_1 y_2] = \int \int y_1 y_2 p( y_1,y_2) dy_1 dy_2$$ $$= \int \...
HMPtwo's user avatar
  • 703

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