Sentences with phrase «predictive model of future»

Not exact matches

... formal asset valuation models (extrapolations of historical return data) provide the most (least) predictive estimates of the future equity risk premium.

«This approach will hopefully lead to better mechanistic predictive modeling of response and future design of therapies that further take advantage of how the immune system recognizes tumors.»

The authors of this work are continuing to develop new applications, with particular emphasis on a future 5D dynamical model that will improve predictive accuracy even further.

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.

Our pharmacological evidence demonstrates the predictive validity of these models and further supports the use of CSDS mouse model and WKY rat model in future PTSD drug testing.

The results could lead to better predictive models to inform future decisions about energy production and use, and a better understanding of changes in the climate.

Predictive modeling estimates individuals» probabilities of future outcomes by building and testing a model using data on similar individuals whose outcomes are already known.

Predictive analytics involves extracting an analytical model from multiple sources of data to predict future behavior or outcomes.

One promising enabling technology underlying future vehicle and powertrain control is the development of model - based control algorithms and systems — this will allow powertrain control to be fully predictive and forward - looking, and enhance the effect of real and virtual feedback, as well as utilizing a range of additional information available through connectivity.

A proprietary investment model is used to rank a universe of stocks based on a variety of factors we believe to be predictive of future stock returns.

Comparing models against existing historical data is the only means of verifying a models future predictive value.

The problem with this computational model of course is, not knowing what the future eastern pacifiic SSTs will be, limits its «predictive» value.

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.

Even then, I would remain skeptical about the potential predictive skill of such a model many tens of years into the future,» Tennekes added.

«The Chapter considers only one type of quantitative future - predictive climate model and «does not include quantitative scenarios produced using other methods; for example heuristic estimation such as Delphi».

Therefore, locating potential future tipping points requires some use of predictive models, in combination with paleodata and / or historical data.

To be predictive, any model of future climate should also accurately model known climate and greenhouse gas variations recorded in the geologic history of the past 200,000 years.

It takes that prior behavior — housed in huge volumes of data — and using space - age concepts such as machine learning, predictive modeling and intelligent algorithms, it makes predictions about future behavior.

Wikipedia says «Predictive analytics encompasses a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events».

The effect of family influences during youth and early adolescence on later young adult inflammatory processes are anticipated by predictive adaptive response (PAR) models (Gluckman et al., 2005; Rickard and Lummaa, 2007), which note that if earlier family circumstances signal increased probability of future injury and / or pathogen exposure, it is potentially adaptive to prepare a developing young person to have greater inflammatory response potential (cf. Cole et al., 2011).