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Cross Validated : Recent Questions and Answers (Page 71)

Find answers to your questions about Cross Validated or help others by answering their Cross Validated questions.

Quantify whether a set of binary segmentation models (experts) have diversity on a fixed dataset?

I have a set of models for binary segmentation task (M=10), and a set of images (N=1000). I also can collect the prediction map for all these N=1000 images, resulting...

Asked on 12/30/2020 by Saeed

1 answer

Weighted normal errors regression with censoring

I have some data which I would model via standard multiple regression except:There is censoring (left-censored, fixed but varying censoring points which are known)The errors are assumed independent normal but...

Asked on 12/29/2020 by Paul M

1 answer

Why does scipy use Wald Statistic + t-test as opposed to Wald Statistic + Wald test for linear regression?

When performing linear regression, why does scipy use Wald Statistic followed by a t-test, as opposed to Wald Statistic followed by a Wald test? The following code performs linear regression...

Asked on 12/29/2020 by Adam Kurkiewicz

1 answer

Standard Error or Standard Deviation for error associated with averaging raster values within a polygon?

I am trying to measure uncertainty associated with a mean value for spatial data. I have:A polygon representing a spatial district.A raster dataset that was produced via a Random Forests...

Asked on 12/28/2020 by jbukoski

0 answer

Is it possible to interchange the quantile operator and a measurable monotone function? $Q_theta(f(X)) = f(Q_theta(X))$

Let $Q_theta(X)$ is the $theta^{th}$ quantile of a random variable $X$, and if $f$ is a measurable strictly increasing function. I want to know if ...

Asked on 12/27/2020

3 answer

ROC Curve for data sets with large negative bias

For context, I've read this forum here regarding a similar issue, and it seems the conclusion on there was that precision-recall curves are better-suited for data sets...

Asked on 12/27/2020 by Malek

0 answer

How to apply distance-based clustering or dimensionality reduction for too many samples

I have a dataset with 200K samples (cases) and 30 variables. Every distance-based method for clustering or dimension reduction technique that I use, such as DBSCAN, Hierarchical Clustering, LLE, Isomap...

Asked on 12/27/2020 by Matin Kh

1 answer

Understanding multiple regression coefficients and calculations

The following variables are in the regression below:earnings - yearly wagesageeduc - years of educationwoman - dummymarried - dummymanager - dummyWhat is the need/usefulness to have age squared in the...

Asked on 12/27/2020 by p34y2

2 answer

Arima model giving high forecast values

I have some models built with the auto.arima function from the forecast package. I'm modeling a variable called 'natural efluent energy' (ena), which is how much energy you can extract...

Asked on 12/27/2020

1 answer

How to numerically solve for a variant of the weighted least squares

I encountered the following problem, and I don't have a good idea on where to start. Suppose that we have the following weighted least square problem:$$hat{beta}_{WLS} =...

Asked on 12/27/2020 by NamelessGods

0 answer

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