Cross Validated Questions, Problems & Solutions : TransWikia.com ~ Page 60

Why is $P(t < T leq t + dt) = f(t)dt$?

Why is $P(t < T leq t + dt) = f(t)dt$? https://en.wikipedia.org/wiki/Probability_density_function#Further_details Is this perhaps some idea around: https://mathworld.wolfram.com/DistributionFunction.html...

Asked on 02/01/2021

2 answer

I used Pearson's product-moment correlation coefficient, what paper do I cite?

So, I used Pearson's R in one my scholarly research papers, but I'm not sure which of the many historical papers I should cite. What kind of source does the...

Asked on 02/01/2021 by Mikhail

3 answer

Are the No Free Lunch Theorem and Halting Problem connected?

I just read about the no free lunch theorem where it is said:Uniformly averaged over all target functions $F$, $mathcal{E}_1 (E|F,> n) — mathcal{E}_2(E|F, n) = 0$The words...

Asked on 02/01/2021 by user70990

1 answer

Interpreting logistic regression coefficients for a categorical variable

I got these results from a logistic regression in R. The data are the proportion of women elected in Uk elections, according to their party. ...

Asked on 02/01/2021 by Rafael Hernández Salazar

1 answer

Write mixed linear model as two level hierarchical model

How do I show that this mixed linear model$$textbf{Y}=textbf{X}beta+textbf{Zb+e},$$ where${textbf{b}choose textbf{e}} sim Nleft({textbf{0} choose textbf{0}}, { textbf{D} 0 choose 0 Sigma}right)$ can be represented by a...

Asked on 01/31/2021 by user179028

1 answer

How the multiplication of observations numbers contributes to Bayesian assumption in BIC calculation?

The model selection process applies both AIC and BIC in various situations: $$operatorname{AIC} = -2operatorname{ln}(operatorname{likelihood}) + 2k$$and $$operatorname{BIC} = -2operatorname{ln}(operatorname{likelihood}) + operatorname{ln}(N)k$$ $k$ = model degrees...

Asked on 01/30/2021 by Eddie S

1 answer

Confidence Intervals for the coefficients of a Multiple Multivariate Regression

I have a functional response [ y(t) ] that I have discretized on a grid of q points, and 3 scalar regressors (x1,x2,x3). I have replaced the response function with...

Asked on 01/30/2021 by Virginie

0 answer

Validation loss fluctuating while training the neural network in tensorflow

While training my convolutional neural network to predict emotions, I displayed at the same time the training and the validation data loss. The training loss appear to decrease over time,...

Asked on 01/29/2021 by I. A

1 answer

Specification of longitudinal mixed-effects model with varying treatment times, varying observation times in lme4

I am familiar with fixed-effects linear regression models, and have done reading on mixed-effects models. I am attempting to fit a model based on observational data, where treatments come at...

Asked on 01/29/2021

1 answer

Need help understanding how only variable A can be correlated to the absolute value of A-B

I'm currently working with the dataset of a study I'm conducting. The data is comprised of serially drawn samples from patients where we've measured the cell counts of those samples...

Asked on 01/29/2021 by Marcus Bådholm

2 answer

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