Is data-driven modelling and machine learning the same thing?
Jan 27, 2021 · Data-driven modeling: The process of using data to derive the functional form of a model or the parameters of an algorithm. Machine learning: The process of fitting parameters …
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 …
Identifying confounders in multiple linear regression
May 4, 2022 · Data driven methods for identifying confounders are fraught with difficulties. As an example, steps 1 and 2 depend on the power of the associated test, and introduce uncertainty …
regression - Is it wrong to remove outliers from dependent …
Sep 1, 2021 · Removing outliers based on the data alone (including boxplots) will invalidate standard theory, which does not take into account that the dataset to be analysed has …
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 …
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, …
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 …
R: What do I see in partial dependence plots of gbm and …
flattening of partial plot in regions with no data is reasonable: As random forest and CART are data driven modeling, I personally like the concept that these models do not extrapolate.
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 …