Reputation
5,265
Top tag
Next privilege 10,000 Rep.
Access moderator tools
Badges
3 20 56
Newest
 Enlightened
Impact
~102k people reached

Oct
24
revised 3 contestants choosing a smallest number to win a car
added 18 characters in body
Oct
24
comment 3 contestants choosing a smallest number to win a car
@stochasticboy321 the person who chooses 2. Basically I think we want a strategy which maximises the individual chance of winning but penalises people from deviating. If the choice was (1,1,1), then nobdy wins.
Oct
24
comment 3 contestants choosing a smallest number to win a car
@Aretino I assume no. if they are, then they should sign a contract and throw a dice, the person with highest number gets to pick 1, giving each person 1/3 of chance of winning.
Oct
24
revised 3 contestants choosing a smallest number to win a car
added 9 characters in body
Oct
24
comment 3 contestants choosing a smallest number to win a car
@Aretino in which case, if the other two play 1 or 2 with probability 1/2. everyone still have 1/4 chance of winning. If everyone think like that, no body wins.
Oct
24
comment 3 contestants choosing a smallest number to win a car
@JohnDouma i meant you just choose an integer.
Oct
24
revised 3 contestants choosing a smallest number to win a car
deleted 9 characters in body
Oct
24
asked 3 contestants choosing a smallest number to win a car
Oct
23
comment Hölder type of inequality?
This is what I was in the process of typing out, except I think the top line should be $F(W_t)-F(0)$?
Oct
23
comment Hölder type of inequality?
I am confused, do you mean $f''(z)$?
Oct
23
comment Calculate the MLE for a parameter 𝜆
why are people upvoting this question? the questioner made no effort what so ever.
Oct
23
comment Calculate the MLE for a parameter 𝜆
@sara.t do you even know what you asked?
Oct
23
comment Calculate the MLE for a parameter 𝜆
Nope, you do not mean cumulative density function. I am sure.
Oct
23
comment Losing less than $100 in a game of chance.
what do you mean you tried to take $P(X_n\geq -100)$.? Chebyshev, Markov inequality?
Oct
23
answered standardised random variable least square regression $X$ against $Y$, $Y$ against $X$
Oct
23
comment standardised random variable least square regression $X$ against $Y$, $Y$ against $X$
@calculus regression minimises the total squared distance between realisations of $X$ and $Y$ to and the regression line, which goes through the origin in this case. I could have posed the question as I have a bunch of points $x_i$ and $y_i$ such that they have mean 0 and variance 1, the question would have still made sense.
Oct
23
comment standardised random variable least square regression $X$ against $Y$, $Y$ against $X$
@NormalHuman that is a helpful comment.
Oct
23
revised standardised random variable least square regression $X$ against $Y$, $Y$ against $X$
edited tags
Oct
23
asked standardised random variable least square regression $X$ against $Y$, $Y$ against $X$
Oct
16
awarded  Yearling