A model with high bias
Graphene nanoribbon devices at high bias
... at high source-drain bias, and described the behavior using a model where sur- face phonon emission results in a carrier velocity that sat- urates to a Fermi energy dependent value at high ...
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Graphene nanoribbon field effect transistor at high bias
... Next, we measure the drain current and compare with the modelling data in Figure 4. The markers show the experimental data, and the solid lines show the model- ling data at different drain and gate voltages. There ...
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Anomalous non-linear shot noise at high voltage bias
... Through high- bias shot-noise measurements on single Au atom point contacts, we fi nd that the noise power in the high-bias regime shows highly nonlinear behavior even leading to a decrease in ...
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Home bias and high turnover in an overlapping generations model with learning
... a model in which all economies had always been fully Þnancially integrated, in a more realistic setting that takes into account that the degree of Þnancial integration may have changed over time, other aspects of ...
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Multi Bias Model for Power Diode Using a Very High Description Language
... analytical model for PIN diode under different bias ...used model available over a wide range of testing conditions without remake the parameters extraction ...The model is developed and ...
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High frequency variability and microstructure bias
... in high frequency nuisance structure is required in many different fields of application, for example molecular biology and ...alleviate bias introduced into the estimation from high frequency ...
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Preselection bias in high dimensional regression
... a model that has a good ability to predict is challenging in this setting, and it is important to avoid all effects that may lead to a weaker ...preselection bias is therefore an important aspect when it ...
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Detecting and Reducing Bias in a High Stakes Domain
... 6.2 Evaluating Generation Naturalness Since words are discrete, generating adversarial text inputs has been a hard problem in other do- mains for at least two reasons: 1) one perturba- tion might be large enough to ...
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Climate model bias correction and the role of timescales
... The high latitudes show larger fluc- tuations than the ...ECHAM5 model appears to generally underes- timate day-to-day variability in the high latitudes while the bias is more mixed in the ...
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Correcting a bias in a climate model with an augmented emulator
... of model output to inputs, using 5000 emulated ...choosing high-density regions to run new ensemble ...of high NL0 and V_CRIT_ALPHA that might fulfil the criteria of lower estimates of error for each ...
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Bias flow rate and ventilation efficiency during adult high-frequency oscillatory ventilation: a lung model study
... lung model must be almost identical with the same aSV and the same frequency, the observed effect of the BF rate in our study must have been caused by different phenomena that occurred in the oscillator ...
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NARCCAP Model Skill and Bias for the Southeast United States
... wet bias observed consistently in the ECP2, MM5I, and WRFG NCEP-driven models (Figure 16) for all ...RCM3-NCEP model illustrates a pronounced wet bias in the highest percentiles from spring through ...
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A Rat Model of Cognitive Bias and the Effect of Acute Corticosterone
... to model human neuropsychiatric affective disorders ...cognitive bias and related acute affective disturbances with visual and tactile cues in animal ...cognitive bias task can provide valuable ...
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Bias correction of high-resolution regional climate model precipitation output gives the best estimates of precipitation in Himalayan catchments
... climate model data (using regional climate models) are being increasingly used to provide precipitation estimates over speci fic regions in the HKKH ...comparing model output and measurements, and the impact ...
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Multivariate bias adjustment of high dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R2D2) bias correction
... most bias correction (BC) methods are univariate and so do not account for the statistical dependences linking the different locations and/or physical variables of ...) bias correction allowing one to ...
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Analysts Forecast Bias and the Overpricing of High Credit Risk Stocks
... bottom bias quintile increase over the subsequent 18 ...analyst bias appears to be relatively ...forecast bias is assumed to decrease over the month for firms with large amounts of analyst ...
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High-dimensional Bias-corrected Inference, with Applications to fMRI Studies
... regression model In this section, we introduce the regularized zero-inflated Poisson regression ...Poisson model. In RZIP model, instead of assuming the outcome Y as a Poisson distributed variable, ...
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Impact of high frequency waves on the ocean altimeter range bias
... EM bias permit lines of inquiry that are unavailable from the satellite ...EM bias model where two processes, the long-wave tilt bias and the interaction of short and long waves, coexist and ...
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The Determinants of University Dropouts : A Sequential Decision Model with Selectivity Bias
... average-quality high school student attending a public college will obtain a better ZSCORE than if he or she had to compete with more talented students of a private ...
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The Impact of Bias Correction and Model Selection on Passing Temperature Thresholds
... Over land, the use of metrics produces minimal change in the mean timings of passing 2°C and shows less than 10 year difference in the timing from the full ensemble. Over the ocean, the most significant variation in ...
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