Sentences with phrase «test model data»

Not exact matches

However, Singleton said he has tested his model against historical data from the crisis year, yielding a 16 percent return against a 38 percent slump in the S&P index.

Telenav, the Silicon Valley company looking to bring pop - up ads to your infotainment screen, has been testing a «freemium» model borrowed from streaming music services to entice drivers to share their data.

In essence, rule - based online trading platforms provide tools and tutorials for people to write algorithms on Web browsers and test their models with years of historic data.

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.

The model completely breaks down when tested over a more extensive historical data set.

Instead of spending their days building financial models, the Investment Masters read, think, focus on qualitative data and test ideas.

You will see that I have loaded all of the above keyword data into the model and plugged in some test conversion data.

As such, the company announced a dedicated data sales team, dubbed AMCN Agility, led by Adam Gaynor, who had previously served as the company's VP of advertising and data solutions sales... This comes as AMC and other TV companies like A&E and Discovery are testing a new attribution model that seeks to prove commercials drive business results.»

Individual growth curve models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23 Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects of repeated measurements.24 To specify the correct model for our individual growth curves, we compared a series of MIXED models by evaluating the difference in deviance between nested models.23 Both fixed quadratic and cubic MIXED models fit our data well, but we selected the fixed quadratic MIXED model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.

This data can also test the model that I proposed to determine the voters who will show up in the race to fill George Latimer's senate seat.

Kaminsky's team then developed a blood test that measured SKA2 activity and levels of methyl groups, then fed its results, plus data on demographics and stress level, into a statistical model.

Processing the biological data at the deepest level, such as DNA base pairs, therefore only makes sense if this analysis can used to build models of biological processes and if the resulting predictions can be tested.

Working together, they will develop and test a variety of learning experiences in which students use online simulations to model energy - releasing and energy - requiring reactions, analyze and interpret data to make predictions about energy phenomena, and use evidence from their own observations or from simplified versions of scientific articles to explain phenomena and construct and critique arguments.

The researchers conducted the study by using time series modelling of data on the official unemployment rate and recorded property crime rate, testing how the relationship has varied from the 1940s to the present day.

Researchers performed a meta - analysis of literature examining patients with NASH, and then tested their hypothesis using an animal model, which enabled them to eliminate possible confounders of the clinical data, such as antibiotic exposure and medical comorbidities.

«But putting together the data will enable us to test our models.»

In order to better understand how soil microbes respond to the changing atmosphere, the study's authors utilized statistical techniques that compare data to models and test for general patterns across studies.

Common approaches to prediction include using a significance - based criterion for evaluating variables to use in models and evaluating variables and models simultaneously for prediction using cross-validation or independent test data.

Instead of systematically testing the effects of known compounds — the pharmaceutical industry's basic model for more than a century — scientists can now investigate backward, combing through genomic data to find links between specific genotypes and diseases and then screening drug data to identify therapeutic candidates.

Model simulations can always be improved by testing predictions against field data collected from different ecosystems, and Sulman and Phillips are doing just that: investigating how roots influence soil decomposition and protected forms of carbon in forests that vary in the composition of tree and microbial communities.

Any results that are reported to constitute a blinded, independent validation of a statistical model (or mathematical classifier or predictor) must be accompanied by a detailed explanation that includes: 1) specification of the exact «locked down» form of the model, including all data processing steps, algorithm for calculating the model output, and any cutpoints that might be applied to the model output for final classification, 2) date on which the model or predictor was fully locked down in exactly the form described, 3) name of the individual (s) who maintained the blinded data and oversaw the evaluation (e.g., honest broker), 4) statement of assurance that no modifications, additions, or exclusion were made to the validation data set from the point at which the model was locked down and that neither the validation data nor any subset of it had ever been used to assess or refine the model being tested

«Using data mining to make sense of climate change: New methodology puts emphasis on data to test climate models.»

The researchers focused on automobiles, testing their theoretical model with data from new - car transactions in the premium midsize sedan category between 2001 and 2005.

Porter and Reich used 2001 - 2006 data on 10,670 burglaries in Baltimore County, Maryland, to build and test the efficiency of their crime - fighting model.

The remaining groups of data — two sets of 69 ratings and their corresponding chemical information — were used to test how well the models predicted both how an average person would rate an odor and how each of the 49 individuals would rate them.

They put the satellite data into their model that tests the wave - particle interaction theory, and the results suggest the wave scattering was the cause of the particle fallout.

«Our data confirmed that, while the rate of growth of triple - negative breast cancer was not affected by CDK 4/6 inhibitors, this class of drugs was able to significantly inhibit the spread of triple - negative breast cancer to distant organs when tested in multiple different triple - negative breast cancer models, including patient - derived xenografts.»

Therefore, further investigations based on multi-messenger approaches — combining theory with all three messenger data — are crucial to test our model.»

They then tested for differences in model fits using annual nest count data to see how the model performed with respect to environmental factors.

Based on the results of that test, Beaty and colleagues developed a predictive model and tested against brain scan data collected for earlier studies on creativity.

In addition to documenting the amount of defensive ecosystems in the U.S., the researchers fed data about property values, population, income and age into a model that tested four sea - level rise scenarios.

But, of course, Bolton noted, no probe has ever come this close to Jupiter before, and the purpose of the Juno mission is to gather data that will put models like those to the test.

Provide example data from experiments using PD - L1 positive tumors and a cancer cell - line engraftment into a humanized mouse model that was used to test anti-PD1 immune therapy

The data were used to test mathematical models to pinpoint the role and importance of factors associated with H1N1's arrival and spread, including demographics, school opening dates, humidity levels and immunity from previous outbreaks.

By testing their model against historical data, they found their production forecasts were more accurate than those of both peak oilers, who are traditionally too pessimistic, and authorities such as the US Energy Information Administration, which is generally far too optimistic.

The test unit carried an internal data recorder, hardened so it could measure what happened during the impact and gather data to validate computer models.

After chronicling the different shifts of decomposers on the mice, and seeing the same shifts operating on the humans, the researchers built a computer model using the mouse data to see whether the microbial composition could be used to predict times of death, using the humans as a test case.

Alex said: «For years ecologists have struggled to test or extend models of ecosystem - level change because the data were too expensive to collect at the required scales.

By combining the before - and after - stagnation data, the city biofilm «control» data and information from building blueprints, the team developed a model to test water quality inside almost any building.

Researchers test mechanisms explaining differences in dengue serotype and disease severity by statistically fitting mathematical models to viral load data from dengue - infected individuals.

This has led to a demand for people who can understand data collection techniques and analyze vast amounts of data, categorize the data sets, develop models to test hypotheses that can then be used to develop drugs, and test potential candidates in animals.

Because they offer theorists many more variables to play with, such «dark sector» models can be reconciled to fit into the ever tighter straitjacket of facts placed on dark matter by new data — but the downside is that this sprawling flexibility makes them very difficult to conclusively test.

In this technique, scientists initiate a computer model with data collected before a past event, and then test the model's accuracy by comparing its output with observations recorded as the event unfolded.

The models used for testing the impact of climate change combine the risks of avalanche with local climate data.

Instead of randomly testing individual compounds, the team turned to AI and machine learning to build predictive models from experimental data.

«Our expectation is that the data from our nuclear physics experiments can be combined with the results from atomic trapping experiments measuring EDMs to make the most stringent tests of the Standard Model, the best theory we have for understanding the nature of the building blocks of the universe,» Butler said.

«You can not really test the idea that animal reservoirs are important other than building a model from the data available.

Using both the test tube and human data, Kashuba and her team created a mathematical model that predicts the drug - to - DNA ratios in vaginal, cervical and rectal tissues and calculates the amount of drug needed to prevent HIV from infecting human tissues.

With the recent publication of a large data set of 763 microsatellite markers — short stretches of DNA that are repeated in the genome — from 53 populations in the Human Genome Diversity Project, evolutionary geneticists William Amos and Joe Hoffman of the University of Cambridge in the United Kingdom had enough genomic data to test both models.

This data produced a plot with a series of curves, each of which tracked how the organism changed in the size and number of units with age, enabling the researchers to produce a computer model to replicate growth in the organism and test previous hypotheses about where and how growth occurred.