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Cross Validated : Recent Questions and Answers (Page 57)

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

Difference of two non-central chi squared random variables

I have a problem where I want to find the distribution of the difference of two non-central chi squared random variables (RV), both independent.Given$$X=a+A\Y=b+B$$where...

Asked on 02/14/2021 by Pol

1 answer

Why do the mean and proportion measurements take the spotlight in estimation?

Based on information I have read and from this website, sampling distributions do exist for statistic variants of measurements other than the mean. Sample ranges, maxima, minima, variance and proportions...

Asked on 02/13/2021

1 answer

Feature engineering: Measuring proportional changes across two item given two conditions

I am trying to work out if an equation that I was given for measuring changes in a dependent measure i.e. sales, of two items when considering two separate conditions...

Asked on 02/13/2021 by Comte

0 answer

Validation of my implementation for trace norm and L1 regularization

I wrote a code for trace norm and L1 Regularizations: $$argmin_{A} ||AX - B||_F^2 + g(A), g(A)={||A||_1^1, ||A||_*}$$, where $||A||_*$ is the trace norm of $A$. I...

Asked on 02/13/2021 by rando

0 answer

Multivariate Normal Quadratic MGF: Eigendecomposition to Matrix form

If $X sim mathcal{N}(mu, Sigma)$ is a multivariate normal, then the quadratic $X^TAX$ has moment generating function $$M_{X^TAX}(t)= frac{1}{sqrt{det(I - 2tASigma)}}expleft(-frac{1}{2}mu'[I-(I-2tASigma)^{-1}]Sigma^{-1}muright), tag{1}$$ where $A$ symmetric and...

Asked on 02/12/2021 by ItsAllPurple

0 answer

Sample Clustering by Accounting for Gene Fold Change and p-value

Is there a way to perform clustering analysis by taking into account both gene fold change (LFC) and its corresponding p-value. My intuition is that while performing sample clustering, especially...

Asked on 02/12/2021 by user294496

0 answer

Segmentation using cluster analysis in SPSS

I am doing a segmentation project and am struggling with cluster analysis in spss right now. Could you please help me get this answered: How do I determine the quality...

Asked on 02/11/2021 by desperate-about-statistics

2 answer

How do we construct features to use as input to machine learning algorithms for the purpose of movie recommendations(using collaborative filtering)?

I am working on movielens 100K dataset. The idea is to use ML algorithms such as neural nets,SVMs,K-means etc for classification of movies as being rated 1,2,3,4,5. The problem I...

Asked on 02/11/2021 by user3676846

1 answer

subspace clustering with density threshold

let say I apply subspace clustering with apriori rule. so, i use 2 units to divide the space. for example, my x is from 0 to 20. so i will...

Asked on 02/11/2021 by pianobegginer

0 answer

In real-life applications, which continuous distributions have NON-CONVERGENT expectations that require Lebesgue integration?

When computing expected values, Riemann integration works for only random variables with bounded support sets. For distributions with unbounded support sets, we can use improper Riemann integrals for "nice" cases...

Asked on 02/11/2021 by Iterator516

0 answer

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