True to the model or true to the data?
… model’s prediction more effectively. In the second setting we consider a model trained on
biological data … this case ”true to the data” and show that for a sparse model (Lasso regularized…
biological data … this case ”true to the data” and show that for a sparse model (Lasso regularized…
Modeling data revisions: Measurement error and dynamics of “true” values
JPAM Jacobs, S Van Norden - Journal of Econometrics, 2011 - Elsevier
… state-space methods to construct optimal forecasts and estimates of the underlying true
values; and we show how to optimally estimate trends or cycles from multiple data vintages. …
values; and we show how to optimally estimate trends or cycles from multiple data vintages. …
The true lift model: a novel data mining approach to response modeling in database marketing
VSY Lo - ACM SIGKDD Explorations Newsletter, 2002 - dl.acm.org
… Thus, we suggest that the quantitative business objective of a model, measured by its
effectiveness for campaigns, is to maximize (AB) – (CD), which is hereafter referred to as the true …
effectiveness for campaigns, is to maximize (AB) – (CD), which is hereafter referred to as the true …
The true‐change model with individual method effects: Reliability issues
… We develop a model for analysing test–retest data gathered … The model relaxes the
assumption of perfectly correlated true… of equal loadings on the true-score variables representing …
assumption of perfectly correlated true… of equal loadings on the true-score variables representing …
Simple statistical models for discrete panel data developed and applied to test the hypothesis of true state dependence against the hypothesis of spurious state …
JJ Heckman - Annales de l'INSEE, 1978 - JSTOR
… model presented in this paper is essentially a discrete data analogue of the familiar continuous
variate distributed lag model … to develop a model applicable to panel data and to develop …
variate distributed lag model … to develop a model applicable to panel data and to develop …
Prevalence dependence in model goodness measures with special emphasis on true skill statistics
I Somodi, N Lepesi, Z Botta‐Dukát - Ecology and evolution, 2017 - Wiley Online Library
… The sources we identified can serve as a checklist to safely control comparisons, so that
true discrimination capacity is compared as opposed to artefacts arising from data structure, …
true discrimination capacity is compared as opposed to artefacts arising from data structure, …
There's no such thing as a 'true'model: the challenge of assessing face validity
… Intuitively, the model that generated the data … data, this is not necessarily the case and the
“true model” that generated the data is not necessarily the one assigned the strongest model …
“true model” that generated the data is not necessarily the one assigned the strongest model …
Selecting models for measuring change when true experimental conditions do not exist
JC Fortune, BA Hiison - The Journal of Educational Research, 1984 - Taylor & Francis
… These are: 1) covariant adjustments of the data; 2) standardized gainEach proposed … data;
and 3) true-score adjustor more different strategies through which a given arti- ment of the data…
and 3) true-score adjustor more different strategies through which a given arti- ment of the data…
Assessing accuracy methods of species distribution models: AUC, specificity, sensitivity and the true skill statistic
… In that there was no data representing true absence of each species in Australia, the
proportions of the extent of Australia identified as suitable were calculated, as an index of potential …
proportions of the extent of Australia identified as suitable were calculated, as an index of potential …
Does model-free forecasting really outperform the true model?
F Hartig, CF Dormann - Proceedings of the National …, 2013 - National Acad Sciences
… Model-free forecasting outperforms the correct mechanistic model for simulated and experimental
data… Moreover, if there is sufficient noise in either process or observation, “true” chaotic …
data… Moreover, if there is sufficient noise in either process or observation, “true” chaotic …