Sentences with phrase «analytic models for»

Finally, because his substantive interests involve processes that occur within relationships and therefore often involve non-independent data, Dr. Ackerman is particularly interested in analytic models for both cross-sectional and longitudinal dyadic data.

«FICO has built analytic models for multiple markets that consider alternative data, such as bill payment and non-financial data (like mobile device and retail purchase information)»

When a meta - analytic model for SAT coaching is used to

Not exact matches

Scott Tranter, a founder of the data - analytics firm Optimus who was on the data team for Republican Sen. Marco Rubio's 2016 presidential bid, told Business Insider that the psychographic modeling that Cambridge Analytica touted «isn't proven science» and that that was at least partially why some thought the service was nothing special.

The evolution of «attribution modeling»: Last year was one heck of a year for analytics.

The Cambridge Analytics scandal was for sure the catalyst, and Facebook's core business model could be irreparably harmed, but what happens next may be a boon for information privacy and data security across the board.

Plus, sophisticated analytic models can also predict which consumers are likely to cancel services within 12 months — a metric that goes straight to the bottom line because the company must compensate its customers for consumer churn.»

Detailed study results, company - level analytics, and assumption models calibrated to this data are available for purchase by participating companies.

«The main problem with entropy uncertainty models is that they are used to justify the notion that there's room to push agendas to the limit line of the outer edge of the envelope that supports the policy maker's cognitive bias,» opines Dennis Santiago, Senior Managing Director for Compliance and Analytics at Total Bank Solutions.

Too many in the guild tighten their grip when they should open their minds to new data sources, new data analytics, new economic models, and a new paradigm for policy.

G3's team specializes in oxygen management in packaging components, including cork, cap, glass, box, single - serve, and PET keg, process modeling and optimization using advanced analytics, and provides consultation and testing for all of its packaging.

Their study combines engineering epidemiology and statistical - data analytics to develop predictive models for environmentally exposed applications.

He uses a combination of analytic and simple numerical models to build physical intuition for complex phenomena.

The Intel «Cherry Creek» supercomputer — which ranks among the world's fastest and most powerful supercomputers for its combination of speed, power, and energy efficiency — cut down calculation time on complicated analyses from years to days, advancing fields such as genomics and bioinformatics, medical and climate research, molecular modeling, and data analytics.

The ARM Data Center offers computing infrastructure to support next - generation ARM model simulations, petascale data storage, and big - data analytics for atmospheric and climate science research.

They include 3D models, 360 - degree videos, tasks, exercises, simulations and other interactive activities, together with smart analytics and classroom management apps for teachers.

Blend coaching that models and supports practice with analytic work that clarifies the basis for practice.

Dr. Kinsella details cross-curricular writing instruction imperatives for educators serving English learners and striving readers, including a focused yet accessible analytic rubric for each assignment, targeted lessons on language and rhetorical devices for specific writing types, explicit analysis of an appropriate writing model, and brief, frequent doses of interactive, teacher - meditated writing practice to build critical competencies for longer, independent assignments.

Examples may include systems science approaches (e.g., computational modeling and simulation, network analysis, and engineering control methods) to conceptualize prevention at the micro - or macro-levels of analyses; alternative intervention designs for when randomization is not possible; new methods for optimization of interventions; adaptive interventions and SMART designs; and innovative analytic approaches including time varying effect models, and models for incorporating intensive longitudinal data and / or real time data capture in prevention science research.

PREDICTIVE ANALYTICS FOR STUDENT SUCCESS: Developing Data - Driven Predictive Models of Student Success

Next Green Car has partnered with Emissions Analytics to improve the NGC Emissions Calculator through the use of model specific Real Driving Emissions (RDE) data for NOx, CO2 and MPG.

During the Los Angeles International Auto Show, MINI management will be presented with a Residual Value Award for the 2016 MINI Hardtop (2 door & 4 door models) by ALG, the analytics division of TrueCar, Inc.

LibCentral offers a powerful set of tools to simplify the workflow surrounding ebooks; from streamlined acquisition to customizable administrative tools, support for all access models, real - time usage and expenditure analytics as well as built - in interoperability with key vendors.»

Similar research from Strategy Analytics backs up ABI Research's claims, indicating sequential declines in demand for Apple's iPad models at the hands of cheaper Android alternatives like the Nexus 7.

FICO also makes sure new versions of the FICO ® Score models keep pace with changing consumer credit behaviors, include FICO's newest analytic technology, and are adjusted for data reporting enhancements.

I know things are bad, and I can't vouch for Institutional Risk Analytics» risk based capital model for banks, but the level of notional derivatives exposure at many of the major banks to their tier 1 surplus made me pause.

CE Credit Score — The creator of this scoring model (CE Analytics) was unhappy with the current model of customers paying for their credit score and companies hiding how their credit scores were revealed.

She supervises the execution of the approved methodology for our strategies, construction and delivery of model portfolios, as well as risk attributions and analytic support.

The company's flagship product offerings are: the MSCI indices which include over 148,000 daily indices covering more than 70 countries; Barra portfolio risk and performance analytics covering global equity and fixed income markets; RiskMetrics market and credit risk analytics; ISS governance research and outsourced proxy voting and reporting services; FEA valuation models and risk management software for the energy and commodities markets; and CFRA forensic accounting risk research, legal / regulatory risk assessment, and due - diligence.

Lenders are increasingly looking for better ways to assess the risk of potential borrowers after the financial crisis, but many of the biggest banks are relying more heavily on in - house analytics instead of outside scoring models.

The event included over 60 attendees from 40 + developers who also joined the NEMOG conference for talks about game analytics, data and business models.

The Symposium will give us a chance to celebrate and show our new understanding in business models for games and game analytics gained in the 3 years of the NEMOG project, as well as welcome a keynote from the internationally renowned game analytics researcher, Anders Drachen.»

All that is being done here is incorrectly applying a filter which, by happy coincidence, deforms an exponential model that does NOT match the observational data in to some function which does look like the data, for which we have no analytic model.

At least for turbulence models canonical simple cases where there are analytic solutions are used to calibrate the models so there is some expectation of predictive capability in new situations.

BACKGROUND Prior to joining RMI, Mark worked at Ascend Analytics, helping deploy software for grid dispatch optimization and financial modeling to several large energy companies.

To design and build the Haliade - X platform, GE Renewable Energy is relying on an unprecedented collaboration across the GE portfolio, leveraging the knowledge of GE's Onshore wind team, with 50,000 turbines in the field; the blade expertise of LM Wind Power; the GE Power and GE Aviation engineers for peer reviews of component and systems design; the Global Research Center for control systems and component validation; and GE Digital for supporting digital modelling, analytics and app development.

Using Market Analytics, Synapse modeled base and alternative scenarios for energy efficiency targets and renewable procurement, in order to estimate the changes in wholesale electricity costs.

Law firms are not meeting their clients» demands for faster cycles and data analytics driven analyses, largely due to their static business model and slow adoption of technology.

Attorneys will start using tools like legal project management software to start tracking what they're doing and using the information that is collected for predictive analytics and the building of predictive models that will allow clients to understand how much they'll spend and what the outcomes may be.

And we have been for years kind of moving beyond the mere access model to things like data visualization with the Interactive Timeline or big data analytics with Bad Law Bot, and these are all things that are designed to, again, not just sort of give people access to the libraries, but to find things that you would miss or to help you understand the law at a deeper, more visual level.

Primary areas of focus for AG Consulting in recent months have included: the development of diagnostic tools for team effectiveness; legal department benchmarking; legal department strategy and operating models; legal technology; data, management information and reporting; legal process analysis; and spend analytics.

For those interested in learning more about effective data analysis in e-discovery, FTI Technology is partnering with the Electronic Discovery Reference Model («EDRM») for a three - part educational webcast series on the practical application of visual analytics and other data analysis techniques in common e-discovery scenariFor those interested in learning more about effective data analysis in e-discovery, FTI Technology is partnering with the Electronic Discovery Reference Model («EDRM») for a three - part educational webcast series on the practical application of visual analytics and other data analysis techniques in common e-discovery scenarifor a three - part educational webcast series on the practical application of visual analytics and other data analysis techniques in common e-discovery scenarios.

Meet Karl Haraldsson» 19, a Chicago - Kent Honors Scholar in the evening division who works as a consultant for law firms seeking to transform their practice models by using technology and analytics data to provide services more cost effectively for clients.

1 > Introduction 2 > The Legal Services Industry Today 3 > Porter's Five Forces and Maister Maxed Out 4 > Clients of the Future 5 > The 2025 Kaleidoscope Scenario 6 > Diagnosing Your Firm's Readiness for Change 7 > Designing the Business Model 8 > Brand, Marketing, and Business Development 9 > Pricing and Fee Arrangements 10 > Sourcing and Outsourcing 11 > Legal Project Management and Process Improvement 12 > Technology, Knowledge Management, and Analytics 13 > Partners, Innovation, and Change 14 > Outlook

The company said that although «M&A Clause Analytics puts forth a model for each agreement based on a robust, statistically significant sample set of recent documents.......

He has 13 years of experience of developing consulting and software solutions in financial modelling, pricing and risk analytics for the insurance, pension and asset management communities.

Loom Analytics at least based on the example, is providing some predictive modeling for certain types of legal cases — meaning on legal matters have been filed in court.

Some insurers use their own scoring models, while others use outside vendors, and different insurers may place greater emphasis on different aspects of your credit report in computing your score, said Lamont Boyd, insurance industry director for scores and analytics at FICO, which provides insurance - scoring software in addition to traditional credit scores.

To achieve these goals, they turned to advanced analytics and predictive modeling solution, LexisNexis ® Risk Classifier, to accelerate life underwriting and remove the need for invasive tests.4

«By combining advanced data analytics with psychological research based off the five factor model for gauging personality traits, OCEAN, Cambridge Analytica helped the campaign identify likely pro-Cruz caucus voters and reach out to them with messages tailored to resonate specifically with their personality types,» stated the press release.