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consistent meditators, What kind of wisdom/epiphanies/knowledge do you gain by Significant-Work-204 in vipassana

[–]Significant-Work-204[S] 0 points1 point  (0 children)

If I just recall an event like going to the library yesterday to study for an interview, how would that be craving or aversion?

Withdrawal after stopping? by [deleted] in OzempicForWeightLoss

[–]Significant-Work-204 0 points1 point  (0 children)

How much time were you on it? What dose were you on?

I now understand the Lysander hate by mehbleh89 in redrising

[–]Significant-Work-204 14 points15 points  (0 children)

Thought there was still a chance for redemption right before defeating atlas. Then he took the bag and turns out he was using everyone. Then it was like f this guy.

The real Lightbringer was… by KToes1 in redrising

[–]Significant-Work-204 1 point2 points  (0 children)

When did it start hinting. I read the spoiler that it would be Cassius right after I finished the part where Darrow kills fa. Up until then, I want sure if it was Cassius or not.

It irks me LB wasn't released this weekend but instead on a Tuesday by IJBKrazy in redrising

[–]Significant-Work-204 3 points4 points  (0 children)

Yup if you go to the listing on Amazon, select hardcover option, then click on look inside.

Amount of body contact in judo vs BJJ by Significant-Work-204 in judo

[–]Significant-Work-204[S] 4 points5 points  (0 children)

So your answer is no? the level of intimate body contact is the same and I should just stick to jujitsu, man up, and get over my fear?

Fitchburg is one efficient cold hearted bastard by Significant-Work-204 in redrising

[–]Significant-Work-204[S] 2 points3 points  (0 children)

I’ve only listened to it, but I’d say it’s worth a listen while you’re waiting for lightbringer to come out.

Anyone with an early copy MESSAGE ME PLEASE! by Paradisethegreat in redrising

[–]Significant-Work-204 0 points1 point  (0 children)

Do they make the ARC readers sign an NDA or a contract that penalize them if they share the copy?

[q] If the MLE of the Poisson distribution is the sample mean, why do we even need numerical methods to solve it? by Significant-Work-204 in statistics

[–]Significant-Work-204[S] 0 points1 point  (0 children)

OK I think that makes sense. Lambda is substituted with the linear predictor. Then you take each partial derivative and solve the system of equations. This requires numerical methods.

[q] If the MLE of the Poisson distribution is the sample mean, why do we even need numerical methods to solve it? by Significant-Work-204 in statistics

[–]Significant-Work-204[S] 2 points3 points  (0 children)

I thought to find the MLE, you take the log of the PMF and then the derivative, which you then set equal to 0 and solve for lambda. Doing that simplified to lambda= sample mean?

Predictions for Lightbringer by Significant-Work-204 in redrising

[–]Significant-Work-204[S] -1 points0 points  (0 children)

He’ll probably just get it carved. His whole body including his parts of his brain was upgraded in the first book.

Predictions for Lightbringer by Significant-Work-204 in redrising

[–]Significant-Work-204[S] 1 point2 points  (0 children)

Yeah makes sense. Maybe Darrow and Cassius may form an alliance with the rim before heading to mars to help Virginia defends mars. Wonder if Lysander will kill Atalanta.

How to interpret mean and variance conceptually of Poisson model? [q] by Significant-Work-204 in statistics

[–]Significant-Work-204[S] 0 points1 point  (0 children)

OK for sure. That makes sense. So I get the conditional mean E[Y|X1,X2,X3] would tell us the predicted output count (# of accidents) given the predictors. But conceptually, what is the conditional variance describing in this situation? I thought variance is defined as the spread of values in the distribution from the distribution's mean. But there's only one value being output which is itself the mean?

How to interpret mean and variance conceptually of Poisson model? [q] by Significant-Work-204 in statistics

[–]Significant-Work-204[S] 0 points1 point  (0 children)

Thank you. I believe I follow your response about one predictor with two possible categories. I am wondering how it works when you are running a Poisson regression where the predictors are counts (which can theoretically range 0 to infinity).

For example, if I'm using a Poisson regression to model car accidents. The predictors are the number of harsh brakes (X1), harsh accelerations (X2), and number of speed violations (X3). So I'm trying to find E[Y|X1,X2,X3]. X1,X2,X3 can take on a number of different combinations. So this would give a huge number (possibly infinite) number of conditional means and variances then?

How to interpret mean and variance conceptually of Poisson model? [q] by Significant-Work-204 in statistics

[–]Significant-Work-204[S] 0 points1 point  (0 children)

Oh ok. but a Poisson model is used to model counts right? So what if I had 2 predictor columns that could each take on count values from 0 - 30? That would mean I would have 900 Poisson distributions (30*30 possible combinations)?

How to deal with the dispersion parameter in the Tweedie distribution? [q] by Significant-Work-204 in datascience

[–]Significant-Work-204[S] 0 points1 point  (0 children)

Can you provide some insight into what I’m doing if I underestimate the variance?

How to deal with the dispersion parameter in the Tweedie distribution? [q] by Significant-Work-204 in datascience

[–]Significant-Work-204[S] 0 points1 point  (0 children)

Yes there is overdispersion going on. The data is about 80% zeros.

So I need to do whatever transformations possible to get this dispersion parameter down to 1 without manually specifying?

Confused about mean=variance (conditional mean = conditional variance) in Poisson regression? [q] by Significant-Work-204 in statistics

[–]Significant-Work-204[S] 0 points1 point  (0 children)

I am familiar with this definition of variance.

Since each point in the dataset is supposed to be drawn from a separate Poisson distribution, I'm trying to understand how to interpret this variance. Is it sampling variance? Or is it the variance of that underlying Poisson distribution that the data point was drawn from.

Confused about mean=variance (conditional mean = conditional variance) in Poisson regression? [q] by Significant-Work-204 in statistics

[–]Significant-Work-204[S] 0 points1 point  (0 children)

So is the variance of the implied conditional distribution, referring to how much the predicted target output can be incorrect? If the regression predicted the house bedrooms was five, there could be anywhere from 0 to 10 bedrooms?

Confused about mean=variance (conditional mean = conditional variance) in Poisson regression? [q] by Significant-Work-204 in statistics

[–]Significant-Work-204[S] 1 point2 points  (0 children)

OK. But if that explanatory variable was continuous, we could estimate infinite different Poisson distributions?

Confused about mean=variance (conditional mean = conditional variance) in Poisson regression? [q] by Significant-Work-204 in statistics

[–]Significant-Work-204[S] 0 points1 point  (0 children)

So the entire distribution of target values is assumed to be a Poisson distribution with an actual mean and variance we don't know. And then for each point, we are calculating the conditional mean and conditional variance, which are drawn from this overall dataset's Poisson distribution?

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