Fun Stat Problem, see if you can solve it.

[DVK916]

I want to see if anyone here can solve this stat problem.


This is a fun and challenging stat problem, that I doubt many on here could do.

X|Y ~ Exponential(Y)
Y ~ Poisson(L)

Derive the least square estimator of Y|X

 

[Whoozyerdaddy]

Originally posted by: DVK916
I want to see if anyone here can solve this stat problem.


This is a fun and challenging stat problem, that I doubt anyone on here could do.

X|Y ~ Exponential(Y)
Y ~ Poisson(L)

Derive the least square estimator of Y|X

What a condescending little prick...

 

[slsmnaz]

Click for answer

 

[DVK916]

Originally posted by: Whoozyerdaddy

Originally posted by: DVK916
I want to see if anyone here can solve this stat problem.


This is a fun and challenging stat problem, that I doubt anyone on here could do.

X|Y ~ Exponential(Y)
Y ~ Poisson(L)

Derive the least square estimator of Y|X

What a condescending little prick...

Anyone was a typo, I wanted to type many.

 

[Anubis]

this really didnt need its own post

 

[MercenaryForHire]

Do your own homework, tubby.

- M4H

 

[mundane]

Originally posted by: MercenaryForHire
Do your own homework, tubby.

- M4H

 

[Whoozyerdaddy]

Originally posted by: DVK916

Originally posted by: Whoozyerdaddy

Originally posted by: DVK916
I want to see if anyone here can solve this stat problem.


This is a fun and challenging stat problem, that I doubt anyone on here could do.

X|Y ~ Exponential(Y)
Y ~ Poisson(L)

Derive the least square estimator of Y|X

What a condescending little prick...

Anyone was a typo, I wanted to type many.

Whatever you say UCDAg... I mean DVK916.

 

[DVK916]

Anyone?

Can anyone here solve this problem.

 

[Bryophyte]

We don't want to help you with your homework. Go make a nuisance of yourself elsewhere.

 

[FilmCamera]

42

 

[paulney]

Mwhahaha.

 

[BurnItDwn]

H + B + Y + T = EtOH, CH3CH2OH, C2H5OH

 

[chuckywang]

Originally posted by: DVK916
I want to see if anyone here can solve this stat problem.


This is a fun and challenging stat problem, that I doubt many on here could do.

X|Y ~ Exponential(Y)
Y ~ Poisson(L)

Derive the least square estimator of Y|X

You're an ECE major taking a course in random processes?

 

[DVK916]

Originally posted by: chuckywang

Originally posted by: DVK916
I want to see if anyone here can solve this stat problem.


This is a fun and challenging stat problem, that I doubt many on here could do.

X|Y ~ Exponential(Y)
Y ~ Poisson(L)

Derive the least square estimator of Y|X

You're an ECE major taking a course in random processes?

No I am a stat major. This is Bayesian Statistics.

 

[chuckywang]

The least square estimator of Y|X is just E[Y|X].

 

[DVK916]

Originally posted by: chuckywang
The least square estimator of Y|X is just E[Y|X].

Derive it please.

 

[krotchy]

Originally posted by: DVK916

Originally posted by: chuckywang
The least square estimator of Y|X is just E[Y|X].

Derive it please.

I can ask pointless questions too:

What are the Body and Spatial Jacobians of a planar pendulum on a free moving axis, where L = pendulum length, m = pendulum mass, theta = angle from the Y axis. X=the distance from the origin the pendulum joint has moved.

Please note to simplify the problem, you may assume the pendulum is in SE2 and consists of a massless wire is with a point mass at the end. Also note gravity exists in the -Y direction.

p.s. if anyone answers this I will be amazed, heck if anyone even knows how to derive the body and spatial Jacobian of anything more power too yah .

 

[DVK916]

Originally posted by: krotchy

Originally posted by: DVK916

Originally posted by: chuckywang
The least square estimator of Y|X is just E[Y|X].

Derive it please.

I can ask pointless questions too:

What are the Body and Spatial Jacobians of a planar pendulum on a free moving axis, where L = pendulum length, m = pendulum mass, theta = angle from the Y axis. X=the distance from the origin the pendulum joint has moved.

Please note to simplify the problem, you may assume the pendulum is in SE2 and consists of a massless wire is with a point mass at the end. Also note gravity exists in the -Y direction.

p.s. if anyone answers this I will be amazed, heck if anyone even knows how to derive the body and spatial Jacobian of anything more power too yah .

This isn't a pointless question, some systems might actually follow the distributions I described.

 

[krotchy]

Originally posted by: DVK916

Originally posted by: krotchy

Originally posted by: DVK916

Originally posted by: chuckywang
The least square estimator of Y|X is just E[Y|X].

Derive it please.

I can ask pointless questions too:

What are the Body and Spatial Jacobians of a planar pendulum on a free moving axis, where L = pendulum length, m = pendulum mass, theta = angle from the Y axis. X=the distance from the origin the pendulum joint has moved.

Please note to simplify the problem, you may assume the pendulum is in SE2 and consists of a massless wire is with a point mass at the end. Also note gravity exists in the -Y direction.

p.s. if anyone answers this I will be amazed, heck if anyone even knows how to derive the body and spatial Jacobian of anything more power too yah .

This isn't a pointless question, some systems might actually follow the distributions I described.

yes, but the fact that you took a class or read a book on how to do this doesn't prove any more than me deriving Jacobian of a real system

 

[chuckywang]

Originally posted by: DVK916

Originally posted by: chuckywang
The least square estimator of Y|X is just E[Y|X].

Derive it please.

I'm gonna go with E[Y|X] = X/2.

 

[Parasitic]

You're not much of a stats major if you need somebody to do this problem for you.

 

[ebaycj]

Originally posted by: DVK916
I want to see if anyone here can solve this stat problem.


This is a fun and challenging stat problem, that I doubt many on here could do.

X|Y ~ Exponential(Y)
Y ~ Poisson(L)

Derive the least square estimator of Y|X

Believe it or not, you're not the only person in the world who has studied statistics.

 

[ebaycj]

Originally posted by: krotchy

Originally posted by: DVK916

Originally posted by: chuckywang
The least square estimator of Y|X is just E[Y|X].

Derive it please.

I can ask pointless questions too:

What are the Body and Spatial Jacobians of a planar pendulum on a free moving axis, where L = pendulum length, m = pendulum mass, theta = angle from the Y axis. X=the distance from the origin the pendulum joint has moved.

Please note to simplify the problem, you may assume the pendulum is in SE2 and consists of a massless wire is with a point mass at the end. Also note gravity exists in the -Y direction.

p.s. if anyone answers this I will be amazed, heck if anyone even knows how to derive the body and spatial Jacobian of anything more power too yah .

Believe it or not, you're not the only person in the world who has studied physics + vector calculus.

 

[TallBill]

Originally posted by: ebaycj

Believe it or not, you're not the only person in the world who has studied physics + vector calculus.

Believe it or not, but George W. Bush is your president.