Sentences with phrase «predicted using the models»

«We see a lot of species» distributions really start to wink out after about 50 years, but it is tricky to look at future predictions because we will have a lot of habitat loss predicted using our models,» McGuire said.

Weather is predicted using models... how is that working out?

The real concern lies with increase of both carbon dioxide emissions and temperature that can not be predicted using the models of past climate fluctuations and patterns.

«We see a lot of species» distributions really start to wink out after about 50 years, but it is tricky to look at future predictions because we will have a lot of habitat loss predicted using our models,» McGuire said.

Not exact matches

The rise of «quants,» traders who use mathematical algorithms to predict market moves irrespective of fundamentals, attempts to model the markets as a complicated system.

A computer model built by Reuters used historic trends and other data to predict that a Republican will take the White House when Obama's term ends.

Some of Cross's clients use sophisticated simulation modeling to predict sales at different price levels, but his technique doesn't have to be rocket science.

By using the pay - as - you - go model, companies could save dramatically — up to 50 percent over five years, Forrester predicts — by increasing efficiency, postponing additional purchases, reducing staffing costs, and improving how they monitor and account for computer usage.

The machine - learning - based model by Medial EarlySign used data found in EHRs, such as laboratory tests results, demographics, medication, and diagnostic codes, to predict a patient's risk of experiencing renal dysfunction.

We use this data and combine it with other information we have about you to help us predict your preferences, to direct marketing offers that might be more relevant to you, and to help us better analyze customer information for business modeling purposes.

The system uses information from your sleep to create a model of your body clock predicting the effect on your concentration and performance throughout the day.

If I use the elasticity (price gains with respect to wage growth) from the full sample, the model predicts inflation hitting 2.8 % by the end of 2019; if I limit the sample to the 1980s, when the elasticity was at its highest, prices hit 3.7 % at the end of 2019, before which point the Fed would surely slam on the brakes.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

This belief is so powerfully embedded in the standard equilibrium models most economists use that, strangely enough, even those of us who described the imbalances in one paragraph and in the very next paragraph insisted that a crisis was unlikely — in China's case because of the government's very high credibility and its role as financial guarantor — were automatically assumed to be predicting an imminent crisis.

Because well - educated white men have the easiest time raising money today, any model using demographics to predict success would favor them — the opposite of her intention.

Quantitative investing assumes that future performance of a security relative to other securities may be predicted based on historical economic and financial factors, however, any errors in a model used might not be detected until the fund has sustained a loss or reduced performance related to such errors.

For example, when using the model to make predictions for time t +1, only data at time t was used; i.e. the 7 technical features from EOD yesterday were used to predict the price direction for today.

The model was then used to predict the future (1 - day - ahead) direction of stock prices.

Leading progressive academic economist Steve Keen gained international recognition after he successfully predicted the 2007 global crisis using an alternative macro-economic model built on the pioneering work of Hyman Minsky and Wynne Godley.

As used in science, a theory is an explanation or model based on observation, experimentation, and reasoning, especially one that has been tested and confirmed as a general principle helping to explain and predict natural phenomena.

Our task is not (as it is for positivism) to discover the covering laws that explain and predict observable associations of conditions and events, but to use all available empirical evidence and powers of reason to develop conceptual models that as accurately as possible describe the real capacities and causal processes operating at the deeper, unobservable level of reality.

As used in science, however, a theory is an explanation or model based on observation, experimentation, and reasoning, especially one that has been tested and confirmed as a general principle helping to explain and predict natural phenomena.

The brilliance of this model was that it used mathematical symmetries, enabling the prediction of new particles with definite predicted properties (since verified) such as charge and spin.

We can not use his model to predict the outcome of any experiment, design a tool, cure a disease or describe natural phenomena with mathematics.

Scientists like Hawking tell us: God has no place in any scientific equations, plays no role in any scientific explanations, can not be used to predict any events, does not describe anything or force that has yet been detected, and there are no models of the universe in which a god's presence is either required, productive, or useful.

God has no place in any scientific equations, plays no role in any scientific explanations, can not be used to predict any events, does not describe anything or force that has yet been detected, and there are no models of the universe in which a god's presence is either required, productive, or useful.

You stated: «As used in science, however, a theory is an explanation or model based on observation, experimentation, and reasoning, especially one that has been tested and confirmed as a general principle helping to explain and predict natural phenomena.»

Your god has no place in any scientific equations, plays no role in any scientific explanations, can not be used to predict any events, does not describe anything or force that has yet been detected, and there are no models of the universe in which a god's presence is either required, productive, or useful.

This same technique can be used safely on infants during inconsolable crying, to see if the activity occurs where the model predicts.

This model uses information that is available at the first prenatal visit to generate the predicted probability that a VBAC will be achieved if TOLAC is undertaken.

The timing of pacifier introduction on breastfeeding was evaluated by using logistic regression modeling to predict breastfeeding duration to 2 and 3 months» postpartum.

A similar technique was used to successfully predict the outcome of the 2012 US election, but the firm had to construct a new model for Britain's more complex 650 - constituency political system.

Using the BBC's estimates in my model predicts a vote share as follows: Conservatives, 36.6 (± 1.3); Labour, 34.05 (± 1.4); and Liberal Democrats, 23.3 (± 2.3).

But whistleblowers say that Arron Banks - the co founder of Leave.EU - used the ideas gleaned from the itch to pursue his own CA - style model to predict and influence voters» behaviour in the EU referendum.

Studies show that these models can accurately predict the ways that new drugs will react in the human body and replace the use of animals in exploratory research and many standard drug tests.

The model used the state's laws and commonly used tax incentives to predict total economic development spending beyond numbers reported by state government.

In October 2016, writing in Mathematical Models and Methods in Applied Sciences, the team used a study of cancer in rats to test 13 leading tumor growth models to determine which could predict key quantities of interest relevant to survival, and the effects of various therModels and Methods in Applied Sciences, the team used a study of cancer in rats to test 13 leading tumor growth models to determine which could predict key quantities of interest relevant to survival, and the effects of various thermodels to determine which could predict key quantities of interest relevant to survival, and the effects of various therapies.

«If we want to predict the future correctly, we'd better use models that accurately describe these microbial processes.»

«Models are used to predict how soil processes change, for example, in response to climate change,» said Steve Allison, coauthor from the University of California, Irvine.

Benjamin «Benjy» Firester, 18, of New York City, won the top award of $ 250,000 for developing a mathematical model that uses disease data to predict how weather patterns could spread spores of late blight fungus, which caused the Irish Potato Famine.

For example, in a prominent study with 58,000 volunteers, a Stanford researcher found that a model using Facebook likes (170 likes on average), predicted a whole range of factors, such as your gender, political affiliation, and sexual orientation with impressive accuracy.

Fixed - and mixed - effects modeling, under the guidance of Case Western Reserve Professor Jiayang Sun, in the Department of Epidemiology and Biostatistics, were used to predict degradation responses of different PET films.

The investigators combined daily averages into two - year averages and used a statistical model to predict concentrations in areas across the United States without a monitor.

He adds that once researchers identify the first light of a strongly lensed supernova event, computational modeling could also be used to precisely predict when the next of the light will appear.

The model could, for example, be used to anticipate avalanches, to determine the load on buildings caused by snow or calculate the traction of vehicles on snow - covered surfaces by predicting the behaviour of snow.

An earlier study using that model showed that the algorithms in the model can predict where in the brain a seizure will originate and which groups of neurons it will likely spread to as it grows.

Using our model, we predict large - scale transmission will not restart for at least another ten years — until there is a new generation in the population who have not been exposed to the Zika virus.

To find out, the study's authors used a wave model to predict how a tsunami would flood the Kauai coastline.

The finding suggests models used to predict populations of stars in any given direction may need to be revised.

These models utilize machine - learning techniques — the same ones used by companies like Netflix or Amazon that «learn» a customer's preferences and make recommendations based upon that data — in order to predict which chemical structures are likely to have the best overall CO2 absorption properties.