Sentences with phrase «many model parameters»

«It's the same with model parameters,» he continues.

These values contribute to the weights that define the network's model parameters.

«My role was to provide some checks and balances to Alice's modeling and the choice of model parameters.»

We used PET and [11C] raclopride (radioligand that binds to D2 / D3 receptors not occupied by DA) to assess the effects of methylphenidate (MP) on the nondisplaceable binding potential [BPND; ratio of the distribution volume (DV) in striatum to that in cerebellum], which is the most frequent model parameter used to estimate DA changes (27), in 24 healthy controls and 24 marijuana abusers.

New software tools will be developed to infer model parameters, providing quantitative immunological process data.

The detailed evolution is sensitive to model parameters.

Uncertainties in the hydrological cycle due to land surface parameterizations can be divided into uncertainties from the spatial distribution of vegetation and from the model parameter values.

Using robust design analysis of multi-season data, we developed several models to understand the effects of different variables on the modelled parameters that included survival probability, temporary emigration and immigration, and capture and recapture probabilities.

The numbers β0, β1, β2, β3, are the fitted model parameters.

Furthermore, we explore the mass dependence of model parameters by comparing these new models to the solar - mass models we developed earlier.

For each star, we present estimates and uncertainties of mass, age, radius, luminosity, core hydrogen abundance, surface helium abundance, surface gravity, initial helium abundance, and initial metallicity as well as estimates of their evolutionary model parameters of mixing length, overshooting coefficient, and diffusion multiplication factor.

For models, such as SMR, where the distribution of the model parameters is unknown, permutation test and stability selection are typically used to control for false positives.

We find the model parameters accounting for the slow and median rotators are very similar to each other, with a disk lifetime of 5 Myr and a core - envelope coupling timescale of 28 - 30 Myr.

These models all suggest potentially serious limitations for this kind of study: UVic does not simulate the atmospheric feedbacks that determine climate sensitivity in more realistic models, but rather fixes the atmospheric part of the climate sensitivity as a prescribed model parameter (surface albedo, however, is internally computed).

Model parameters representing pathway dynamics were used as features to predict sensitivity to a panel of 27 drugs.

Model parameters were estimated using a finite amount of data and are therefore subject to estimation error.

Well, not by hand, of course, but by writing a computer program that loops over all possible combinations of retirement dates, and other model parameters.

Samples of model parameters were written out every 50th cycle, resulting in 500 samples per chain.

The finding that based on the logistics model parameters used here, these differences can be demonstrated mathematically, supports present feeding guides and practices.

For tunings and other estimates, the model parameters should show the uncertainty initially.

Re # 115: Yes, you have mis - interpreted my prior statements about model parameters as being only inaccurate.

But at this point, there are the model parameters themselves which are known with only a certain level of accuracy.

I agree with one of the ideas that you've expressed in previous posts, namely, that we can't be certain that model parameters or model behavior correctly reflect the actual dynamics, so we have to take model simulation results with a grain of salt.

However, the agreement provides a useful constraint on the models parameter - space, so this at least gives us a consistent explanation of the response to the applied perturbation.

Using comprehensive data sets of observations made between 1979 and 2001 of sea ice thickness, draft, extent, and speeds, we find that it is possible to tune model parameters to give satisfactory agreement with observed data, thereby highlighting the skill of modern sea ice models, though the parameter values chosen differ according to the model forcing used.

c) How much of the existing data has been used to fit the model parameters?

A model independent analysis is useful in determining errors in basic model parameters.

The model parameters are fit by treating each of the six series as a stochastic realization of the stochastic measurement process.

MAGICC is run using its default model parameter settings except for climate sensitivity, which you can choose from between 1.5 °C and 4.5 °C.

As far as i was aware the climate sensitivity issue still remains, as too do the questions over the validity of the temperature records (raising the distinct possibility that the change you are trying to detect is smaller than the error limits themselves) and the modelling parameters.

Uncertainty in model response is investigated using a perturbed physics ensemble in which model parameters are set to alternative values considered plausible by experts in the relevant parameterization schemes.»

One could take the outcomes of different starting conditions, or use of different model parameters, and compare them against observations.

Collins (2012) state that adjusting model parameters so that projections approach observations is enough to «hope» that a model has physical validity.

«Perturbed physics» means that model parameters are varied across their range of physical uncertainty.

The reduction of the full set of model parameters to a single scaling number l, which determines the system and thereby the critical threshold, testifies to a remarkable dynamic similitude with respect to the atmospheric quantities α, β, and q 0.

The likelihoods are computed from the excess, delta.r2, of r2 over its minimum value, minr2 (occurring where the model run parameters provide the best fit to observations), divided by m, the number of free model parameters, here 3.

So all your saw tooth argument boils down to is a pretext to «lock» those two frequencies and amplitudes and not count them as model parameters.

One caveat will be that Vaughan has pre-selected some of the model parameters to fit the data.

My experience tells me that if the calibration period isn't representative of the extended dynamic regime then the model parameters aren't appropriate for the «forward mode» predictions.

The proposition to be proved (# 7) is assumed in premise # 3 by virtue of kludging of the model parameters and the aerosol forcing to agree with the 20th century observations of surface temperature.

They are so large that adjustment of model parameters can give model results which fit almost any climate, including one with no warming, and one that cools.

It is important to check, what happens when modeling parameters determining the stability of the numerical methods are varied.

Getting model parameters wrong is equally reasonable to claim — if you have explored the parametric variation yourself and have something constructive to say about the result of that exploration.

Are there really papers which plug an estimated model parameter into a larger model without carrying over its estimated variance?

This missing information is condensed into model parameters, which can be fixed or variable.

Part of the process involves adjusting model parameters within limits dictated by observations and the principles of physics so as to coax the simulations into good agreement with the real world climate.

Uncertainty in model parameters is not the same as natural climate variability, unless the parameters are stochastic time series.

Many physical modelers, and especially climate modelers, seems to think that as long as their models are «science - based» then there is no need to account for uncertainty in their outputs, notwithstanding that the model parameters are tuned with data, and that aspects of these models are likely to be ill posed (highly sensitive to small perturbations in the values assigned to parameters).

It would be interesting if the model outputs and the TLTs were related back to a stochastic emulation with specifed model parameters given estimated values and ranges.

My understanding of Bayesian inference is as scheme for updating model parameters in the light of new evidence.