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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Should I use cross-validation to build an explanatory model?

I know it is recommended to do so for a predictive model, but if I am trying to study a potentially causal relationship and adjusting for covariates to be able to isolate that relationship should I ...
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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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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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53 views

Exploratory factor analysis assumption

A critical assumption of the exploratory factor analysis (EFA) is that it is only appropriate for sets of non-nominal items which theoretically belong to reflective latent factors. Why is it so ...
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Redundancy analysis (RDA) to identify the relationship between water quality and land use

I have read some papers in where the authors had performed redundancy analysis (RDA) to identify the relationship between water quality and land use. However, I am confused as to how they are setting ...
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Post-Processing Explanatory IRT Models in lme4

I have fit several different explanatory IRT models using lme4, and the final model includes item, person, and item-by-person covariates. The issue I'm now encountering is that I don't know how to get ...
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Can I predict with regression coefficients from an univariate regression results?

To explain or to predict? G. Shmueli asks this and gives a good answer: https://projecteuclid.org/euclid.ss/1294167961. Basically, causal inference is explaining, you don't have to care about R^2 and ...
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256 views

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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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 ...