Is data-driven modelling and machine learning the same thing?
Jan 27, 2021 · I read a lot of publications about data-driven modeling and machine learning. Most of them use the term interchangeably. So, is data-driven modelling and machine learning …
When should you remove Outliers - Cross Validated
Jul 6, 2021 · When dealing with an "out-sample" (between-sample) procedure you have to make sure that any estimation (a.k.a. "learning") is always done using only the data that is being …
regression - Is it wrong to remove outliers from dependent …
Sep 1, 2021 · 0 In my opinion it all depends, on the aim of modeling. If your main aim is to estimate properly design statistic model, then removing outliers that are not results of error, or …
regression - Variable selection strategies - Cross Validated
May 1, 2024 · I am getting the general feeling from reading around that all of the problems that arise from data-driven variable selection (biased coefficients, small SE's/p-values, etc) occur …
How to assess if a model is good in multinomial logistic regression ...
Apr 8, 2015 · Also think about it theoretically - do you think your measures are ordinal? Does an interaction term make sense? Depending on the field, many journals (particularly in the social …
modeling - one vs two-factor model performance - Cross Validated
Jul 8, 2025 · MIs are purely data-driven. To illustrate, the item in question may the best one from a theoretical-substantive perspective (i.e., reflecting the intended construct most appropriately), …
Two ways of obtaining Dynamic Mode Decomposition modes
Nov 23, 2018 · However, in the textbook by prof. Kutz Data-driven modeling and scientific computation, this formula is given for the DMD modes: Φ = UrW Φ = U r W and this is also the …
Is there any reason to prefer the AIC or BIC over the other?
I think it is more appropriate to call this discussion as "feature" selection or "covariate" selection. To me, model selection is much broader involving specification of the distribution of errors, …
On the difference between parameter driven models and …
Feb 12, 2017 · Could I have an explanation on what are parameter driven models and what are observation driven models as categorized by Cox (1981) in Statistical analysis of time series: …
The Two Cultures: statistics vs. machine learning?
There was also the "Statistical Modeling: The Two Cultures" paper by Leo Breiman in 2001 which argued that statisticians rely too heavily on data modeling, and that machine learning …