Answer Recent Asked Questions on TransWikia.com ~ Page 40

Question on method for analysis

First of all, I have begun researching as a masters student and I am forcing myself on more statistical validation and significance testing - this is not my strong suit....

Cross Validated Asked by Paul Kumar on 2 years ago

Selecting uncorrelated samples from a set of bulk data that contains correlated and dependent samples

i have a set of data that is generated by expensive computational model evaluations, on a total data set of 10000 samples in 40 dimensions. This sample data set is...

Cross Validated Asked by Sarmes on 2 years ago

Test for significance of peaks (maximum) in time series

I have a time series of values, something like this: value2015-12-01 ...

Cross Validated Asked by dmort on 2 years ago

How does autoregression work in R?

I don't understand results of ar() function in R. I made up a very simple case, Fibonacci sequence:x <- c(1,1,2,3,5,8,13,21,34,55)ar(x)result is Coefficients: 1...

Cross Validated Asked on 2 years ago

Error propagation in combined linear models

I have a set of observed values ($y_{1Obs}$) and 3 predictive variables (n = 27). I use multiple linear regression to create a linear model: $Z_1=alpha_0 + alpha_1 W_1 +...

Cross Validated Asked by Chochot on 2 years ago

When calculating the Gini coefficient for the US, how should the portion of the population which has not filed a return be incorporated?

The Gini coefficient $G$ is a commonly used measure of income distribution inequality, taking values from 0 (meaning every individual in the population...

Cross Validated Asked on 2 years ago

Sampling uncertainty of posterior probability distribution

I'm working on a problem with 3 possible outcomes and a bunch of features. I have a regression model that outputs probabilities for each category and I'd like to extend...

Cross Validated Asked by Milan Bosnic on 2 years ago

Why can't do ridge regression with one predictor?

I'm trying to fit a ridge regression model with a single predictor. However, when I try to do so in three different R packages I get the three following errors:...

Cross Validated Asked on 2 years ago

How to model properly sequential data when the output has to be used as part of the next input? Model off completely when it makes single mistake

I have time series data and am fitting a (LSTM) neural network. The time series data include let's say a brain wave (var1) as well as the previous state...

Cross Validated Asked by iuppiter on 2 years ago

Determining whether logistic regression with robust variance for repeated measures is appropriate for my data, or which other model type to use

I am doing an analysis to identify independent predictors of a positive drug test result for patients who self-report being on medication in a cohort study (i.e., I am assessing...

Cross Validated Asked on 2 years ago

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