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 …
Variable selection for predictive modeling really needed in 2016?
May 29, 2016 · * Update in November 2017 * Nathan Kutz' 2013 book, Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data is a mathematical and PDE …
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 …
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 …
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 …
Practical thoughts on explanatory vs. predictive modeling
In contrast, in prediction it is more data-driven and you are more open-minded about relationships, because you are not searching for causality but rather for correlation.
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: …
Repeated measures structural equation modeling - Cross Validated
Feb 7, 2012 · I need to analyse a dataset of clinical rehabilitation data. I am interested in hypothesis-driven relationships between quantified "input" (amount of therapy) and changes in …
Is hold-out validation a better approximation of "getting new data ...
Same as with any other validation: if you do data-driven modeling/model selection, another independent level of validation is needed. I don't see any difference here between hold-out …