Sentences with phrase «test model predictions»

We use the global cooling and drying of the atmosphere that was observed after the eruption of Mount Pinatubo to test model predictions of the climate feedback from water vapor.

In order to understand how El Niño responds to various climate forces, researchers test model predictions of past El Niño changes against actual records of past ENSO activity.

Not exact matches

, Fabian Hollstein, Marcel Prokopczuk and Chardin Simen test effects of different return sampling frequencies, forecast adjustments and model combinations on market beta prediction accuracy across the universe of U.S. stocks.

In this inference pattern the deductive inference is to predictions which test the proposed dominant order of an environment elaborated analogically, not deductively, from the model of another environmental order.

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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 believe this model better reflects the complexities of social species — in comparison to other models that do not consider the social organization of populations — and thus allows field biologist to test specific predictions about the effects of sociality.

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.

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.

«These experiments will enable us to further test and refine the underlying processes in the CORPSE model and should lead to improved predictions of the role of plant - soil interactions in global climate change,» Sulman said.

«We have found an implementation of the system that allows us to go in the lab and actually test the predictions of the Dicke model, and some extensions of it as well, in a system that is not nearly as complicated as people always thought it has to be for the Dicke physics,» Engels said.

To test the predictions of the computer model, the Oxford team let 20 real locusts roam for 8 hours in a small square arena dotted with tiny pots of wheat.

Rock - paper - scissors makes for a convenient model, but until now, its predictions had not been tested.

But Young is concerned that the model's flexibility means it won't make specific enough predictions for future work to test it.

They represent a unique type of atmospheric motion whose forcing mechanism is known with great precision, allowing us to test our numerical models and theoretical predictions.

The researchers also tested their prediction models on the validation set, and this resulted in ROC (receiver operating characteristic) plot points with an AUC (area under the curve) of 91.6 percent for general responsiveness, 89.7 percent for TNFi response and 85.7 percent for rituximab response.

Piantadosi and Kidd tested a novel prediction of the model that the immaturity of newborns should be strongly related to general intelligence.

«After 20 pages of calculation, they don't have a prediction and they don't test their model,» Barthelemy says.

With such a powerful dataset and toolkit, we anticipate testing the predictions of biodiversity hotspots from stochastic modelling [28]--[31], as well as mapping functional gene ecology and activities throughout the world's oceans.

Specifically, eclipsing binary stars can be used to study the stellar mass - radius relationship and to test predictions of theoretical stellar evolution models.

Of the 37 model - generated predictions the researchers tested in the lab, 26 were correct.

For a given tissue, we perform 3 - repeat -5-fold cross validation with the samples corresponding to the individuals of the training block in order to select the best model, and we generate the predictions over the unseen test set using this model.

The model is used to test the prediction of (Dullemond et al. 2003) that disks around UX Orionis stars must have a self - shadowed shape, and that these disks are seen nearly edge - on, looking just over the edge of a puffed - up inner rim, formed roughly at the dust sublimation radius.

To this end, for each cohort (pre-mortem and postmortem), we partitioned the data into training and testing datasets, fitted the model on the training data with 3 - repeat -5-fold cross validation, performed the predictions on the test set and then obtained the regression statistics of real vs. predicted Blood PMI.

Our studies test this model's predictions in both intergroup and interpersonal contexts, as well as at the extremes of objectification and dehumanization.

She also speculates that interspecies transmission of microbes — from dogs to humans, say, or the other way around — could affect interspecies altruism, another prediction that could be tested using animal models.

A few climate models have been tested for (and shown) capability in initial value predictions, on time scales from weather forecasting (a few days) to seasonal forecasting (annual).

In fact, the model led to sharply defined quantitative predictions that could be tested empirically.

In order to test hypothesized neural predictions made by the Context Maintenance and Retrieval Model, we employed a free - recall task in 221 patients with medically resistant epilepsy.

To help determine how long a bone marrow (stem cell) graft will last, researchers at Sanford - Burnham Medical Research Institute (Sanford - Burnham) have developed a mathematical model that predicts how long a stem cell will live and tested those predictions in a mouse model.

This spreadsheet tests students ability to make a prediction from a model, create a graph, use the SUM and Goal Seek functions, write an IF statement and use data validation.

In other words, this particular prediction model can not account for 26 % of the cause of current ELA 8th grade scores, «all other things considered» (i.e., the predictor variables that are so highly correlated with test scores in the first place).

Briggs and Domingue found strong evidence of these illogical results when using the L.A. Times model, especially for reading outcomes: «Because our sensitivity test did show this sort of backwards prediction, we can conclude that estimates of teacher effectiveness in LAUSD are a biased proxy for teacher quality.»

The «layered model,» as it is called by researchers, collects between three and five years of test - score data for each student in as many subjects as possible, including reading, math, science and social studies, in order to make predictions about how a student will score on a given test.

Granted, such a prediction would be entirely pinned on the assumptions of mean reversion (to 6 % growth p / a, and to a CAPE of 15), but it might provide an alternative (or at least discussion worthy) means of testing the predictions of the model.

These include adjusting borrower income forecasts for inflation, completing planned model revisions and ensuring that they generate reasonable predictions of participation trends, and testing key assumptions.

I also think most people don't really appreciate the various motivations for building models, running models, the process of testing and validating models and hence in the end why some models and some predictions are more worthy or credible than others.

The question would be is anyone prepared to apply the logic that the IPCC uses to indict human activities to acquit if model predictions don't hold up to the test of time?

And are those predictions in different cases then tested against observations again and again to either validate those models or generate ideas for potential improvements?

The test of the model is whether, given the observed changes in forcing, it produces a skillful prediction using the scenario most closely related to the observations — which is B (once you acknowledge the slight overestimate in the forcings).

But if you want to understand how climate models were developed, tested and used to make predictions, those are the sources to read.

As a physics student very much used to operating on the «make prediction; test prediction» model of determining the reliability of a theory, I appreciate thorough discussion of realistic expectations for these climate models.

Success at prediction is enhanced by maximizing the number of different hypotheses (models) you can generate and test against numerical data and other available information.

This can involve «perfect model» experiments (where you test to see whether you can predict the evolution of a model simulation given only what we know about the real world), or hindcasts (as used by K08), and only where there is demonstrated skill is there any point in making a prediction for the real world.

Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

I developed a successful (i.e. tested and verified), climate prediction model based on this periodicity.

Canadian Ice Service, 4.7 (+ / - 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness extents, as well as winter Surface Air Temperature, Sea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

They reject the very notion accuracy because they claim the models make no predictions (which can be tested against reality), only projections which can never be falsified.

The selected projects address three topics: one project will build a testing framework giving industry and academia the ability to evaluate and compare the performance of solar irradiance and solar power forecasting models; four projects seek to improve solar irradiance predictions; and three projects will examine how to integrate solar forecasting technologies with grid operators» energy management systems.