Cross Validated Questions, Problems & Solutions : TransWikia.com ~ Page 64

Anomaly detection for multiple correlated variables (sensors)

I have time series data from multiple sensors detecting vehicles driving through the sensor zone. I'm aggregating the total actuations for each sensor in 15-minute bins. The sensors are correlated,...

Asked on 01/18/2021 by Shawn Strasser

0 answer

Clustering with Likert items and N/A option

I am currently evaluating the results of a 72 question survey with response levels from "strongly disagree" to "strongly agree". I would like to cluster the questions by response patterns...

Asked on 01/17/2021 by Matthias

1 answer

Case-Control Study Design for Longitudinal Analysis

I am designing a study in which I want to examine the relationship between a disease - major depression - and five exposures of interest: healthy/unhealthy diet, daily exercise hours,...

Asked on 01/17/2021 by Cat Cuddler

0 answer

Multivariate time series vs multi dimensional time series

What is the difference between multivariate time series and multidimensional time series? I'm unable to get whether these are the same or different....

Asked on 01/16/2021 by SS Varshini

0 answer

Relation between test and train error with gradient descent iterates

My question is about establishing an inequality between population error and expected training error (i.e, expected training error < population error) for a model trained with gradient descent on a...

Asked on 01/16/2021 by sgg

0 answer

What is the proper specification/classification for estimating # of occurrences until last event in a series of dependent events?

I don't believe this nice answer that in case a) presents a negative binomial and in case b) a scaled/shifted chi-squared is what I'm asking, but I very well...

Asked on 01/16/2021 by Adam Pollack

0 answer

How to derive Bias of PCA estimator

Given the OLS (ordinary least squares) estimator$$Y=XB+e$$The PC regression estimator can be given as:$$B_PCR=T_r(T'_rX'XT_r)^{-1}T_r'X'Y=T_r Delta_r^{-1}T_r'X'Y$$where $T$ are the eigenvectors...

Asked on 01/16/2021 by Baz

0 answer

Using gradient information in minimizing error function, in Bishop's Pattern Recognition

In Bishop's book Pattern Recognition, there appears the following paragraph on page 239, where I included the equation he refers toIn the quadratic approximation to the error function, $$displaystyle...

Asked on 01/16/2021 by SorcererofDM

3 answer

Mean squared error of OLS smaller than Ridge?

I am comparing the mean squared error (MSE) from a standard OLS regression with the MSE from a ridge regression. I find the OLS-MSE to be smaller than the ridge-MSE....

Asked on 01/15/2021 by Aristide Herve

5 answer

How to deal with large combinations of factors

I am faced with a new problem that I cannot really tackle with the way I usually do my analyses and would appreciate any input you may have. The research...

Asked on 01/14/2021 by mat

0 answer

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