Sentences with phrase «models predictive ability»

That is no proof of being a better model, nor is it proof of the models predictive ability.

Not exact matches

Validation of its high - fidelity model and the predictive accuracy of its new simulation methods are giving GE the ability to better integrate simulation directly into its product design cycle.

Whereas David Weinberger's speculations about predictive abilities of big data — crunching models in «The Machine That Would Predict the Future» are intriguing, planners and social scientists aren't about to step aside just yet.

Furthermore, I plan to construct models that will describe how ecosystem structure may change in the face of multiple stressors, and compare these models against existing models of coral bleaching and disease to determine whether they offer novel insights or enhanced predictive ability of these events.

Since the 1950s, social scientists have been comparing the predictive abilities of traditional experts, and what are known as «statistical prediction rules,» which are just simple models.

To determine which combination of measures best predicted outcome, we tested the discrimination, or performance, of each model by calculating the area under the curve (AUC), which quantified each model's ability to classify a dog correctly as an eventual program release or success (higher AUCs indicate better predictive power)(54, 55)(SI Materials and Methods).

And feedback that confuses or obfuscate the player's predictive modeling tend to damage their ability to plan well.

The main objective of the Action is to evaluate and improve our ability to project the consequences of environmental change for European forests by addressing questions regarding data needs, scaling, parameterization, and predictive accuracy of forest models.

The lack of the ability to match either preceding or later changes even on the inter-decadal scale shows their model has NO predictive skill whatsoever.

You're going to have to wait some number of decades anyway to evaluate the model's predictive ability (i.e. once the model has been constructed, leaving it be without tweaking the parameters etc.), and at that point you might as well just pump the actual recorded data into it.

When asked to build a model that generates explanatory or predictive ability, they don't, instead appealing to rhetoric or strawman attacks about CAGW alarmism.

However, I am not skeptical about the 100 + year - old GHG theory model, because it is based on good physics and it seems to explain everything that I am curious about, with much better predictive ability.

If you were to produce a chaotic model using the above, I would venture a prediction that the above former were the massive attractors about which we could make some decent predictions about the future but that the latter human produced CO2 inserted into our atmosphere would leave us with hopelessly inadequate and wrong predictions because CO2 contributed by man is not an attractor of any significance in the chaotic Earth climate system nor is CO2 produced by man a perturbation that would yield any predictive ability.

McArdle appears reluctant to embrace the predictions of climate models under the assumption that they are similar to mid-century macroeconomic models, for which «only the unflappable true believers place great weight on their predictive ability» these days.

With data errors it might not be possible to find any model with predictive ability.

Models with perfect physics and perfect data might have no predictive ability.

Historical examples throughout the march of humanity to compare with the faith Western academics invest in the predictive ability of their numerical models (General Circulation Models or GCMs) would be a list of some pretty odd rimodels (General Circulation Models or GCMs) would be a list of some pretty odd riModels or GCMs) would be a list of some pretty odd rituals.

Models aren't created on the premise that if they can «fit to data from 1980 to 2008,» they might have «predictive ability.»

It's an arcane discussion that creates confusion between validation of the climate models and their predictive ability.

«The recent dramatic cooling of the average heat content of the upper oceans, and thus a significant negative radiative imbalance of the climate system for at least a two year period, that was mentioned in the Climate Science weblog posting of July 27, 2006, should be a wake - up call to the climate community that the focus on predictive modeling as the framework to communicate to policymakers on climate policy has serious issues as to its ability to accurately predict the behavior of the climate system.

The best way to gauge a model is by predictive ability, either forwards or backwards.

But no one would think that my predictive ability had increased nor that «the models» could be shown inconsistent with reality based on observations outside the SEM whiskers.

The real test of any model or theory is predictive ability, and the models have done well so far as below.

Checking whether a model can produce past history in no way validates it as a correct model of reality — in a few minutes I could program a «model» that would reproduce past global temperature with complete accuracy — but would have no predictive ability at all.

If internal system variability on it's own were sufficient as you seem to believe then the mechanisms and quantities involved would already have been substantially resolved with sound predictive abilities already arising from our models.

Indeed, the lack of agreement between the model's «hindcast» and actual temperatures since 1995 should remind us again to view this only as a very preliminary analysis with predictive ability that is much more qualitative than quantitative.

10 - 14 June 2013: CFMIP / EUCLIPSE Meeting on Cloud Processes and Climate Feedback, Hamburg, GERMANY Focus: Clouds and precipitation in a changing climate; Coupling between cloud processes and the atmospheric circulation; Ability of models to simulate cloud processes, and the impact of errors on model predictive capabilities