Questions tagged [explanatory-models]

Models created to explain a response (as opposed to simply predict it). This is generally understood to imply models of causal processes, or to test hypothesized causal relationships.

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Should I use unpenalized logistic regression, lasso or ridge for explanatory modelling?

When using logistic regression for predictive modelling, the choice between 'standard' logistic regression vs ridge vs LASSO versions of logistic regression seems relatively straightforward - just ...
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How exactly does ridge regression helps in the case of multicollinearity?

I understand the reasoning behind ridge regression: we include some bias in the model in order to reduce the variance of the regression coefficients. My question is, why would we want to do that? ...
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Dealing with unbalanced data in an explanatory model with decision tree

I am doing binary classification with decision tree, and it aims to find out what features matter the most with the data we have, so I need interpretability more than predictability. It is like ...
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Assess a model building technique

I am confused about a certain model building technique that seems to exist, at least in practice (I am not sure whether it has its place in textbooks). Question 1: I wonder under what conditions or ...
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A bunch of different types of variables (their combination also important) explaining one variable - which method?

I have a dependent variable - how much land does a household cultivate out of total in their possession. The answers are categorized in 3 different groups (1 - 70% - 100%, 2 - 40 - 70%, 3 - less than ...
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Application of GAM on large dataset

I was suggested that my questions were too broad. As I commented below, I have nearly a million data points and perhaps a hundred variables. This may be a very basic modeling question: I am curious to ...
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In scale adaptation which should be done first? CFA or Reliability Analysis

I am adapting questionnaire cross-cultural. Questinonnaire has 11 item and two factor. I want to confirm the structure 1 item's corrected item total correlation is <.20. Should this item be ...
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How does LIME compares with Mutual Information?

So, I was wondering how LIME's linear model approach compares with other explanation metrics, in special, with Mutual Information? For those unfamiliar with how LIME works: Choose the instance you ...
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Is this an appropriate way of modeling the scores in a round-robin sports league?

I want to model the outcome of matches in a round-robin sports league based on which home team is playing which away team across several seasons. Let's assume a league with four teams ...