# Questions tagged [parsimony]

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### Is parsimony crucial for statistical inference?

This question is based on using a regression for statistical inference (not prediction). I have conducted hierarchical (logistic mixed effects) regression. The first model includes the predictors of ...
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457 views

### Goodness of fit of structural equation modelling

I am currently working on a structural equation modeling project using the lavaan package in R. The model satisfied all the goodness of fit tests (GFI, AGFI, CFI, ...
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### Difference between Parsimonious model vs Optimal model

As per my understanding, parsimonious regression model is the model that has less variables but with those variables I can describe the data best. Is it so? Then ...
170 views

### Structural complexity versus ontological complexity

From the article https://en.wikipedia.org/wiki/Occam%27s_razor: Another contentious aspect of the razor is that a theory can become more complex in terms of its structure (or syntax), while its ...
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### Akaike Information Criteria applied on Random Forest

I am implementing a Random Forest model for predicting a variable "A" which is function of other 4 variables: $$A = f(B,C,D,E)$$ I developed a good RF model (i.e. high accuracy, good ...
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### Why do contrasts influence singular fits with mixed models?

I've fit a linear mixed effects model to some data in R with afex::mixed. I'm interested in the fixed effect and have no expectations for the random effects ...
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1 vote
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### If two models have similar predictive power, why should we prefer the one with fewer parameters?

Was thinking a bit about model selection earlier, and I ended up getting hung up on the question: “If two models have similar predictive power, which model should I select?” For example, we often ...
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546 views

### LASSO versus likelihood ratio tests for variable selection

LASSO regression penalizes coefficients in regression to at most zero. Likelihood ratio tests tells us whether the nested or full model is better. I used likelihood ratio tests during regression ...
135 views

### Assessing loss of different parsimony levels (Cox Model)

I have a Cox Proportional Hazard model with 6 covariates to determine OS. I am now trying to simplify this model by taking some of this covariates down. This is intended for a wide audience so I'm ...
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472 views

### Is there a measure of "complexity" for linear/nonlinear model terms?

My apologies if this is grossly misunderstood or mis-worded, but I've been mildly bugged by a question to which I've not found a satisfactory answer. I can't say that I have seen a discussion about ...
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