Sentences with phrase «model biases on»

What is the impact of model biases on the ability to capture AMOC variability and teleconnections?

Hiroyuki Murakami, Pang - Chi Hsu, Osamu Arakawa, Tim Li, Influence of Model Biases on Projected Future Changes in Tropical Cyclone Frequency of Occurrence.

Not exact matches

We in the startup world need to continue to work on the inherent bias in current VC models, and make sure many more women and minority founders break into the game.

It doesn't help that 10 - year bond yields are still lower than the prospective operating earnings yield on the S&P 500 (the «Fed Model»), not only because the model is built on an omitted variables bias (see the August 22 2005 comment), but also because the model statistically underperforms a simpler rule that says «get in when stock yields are high and interest rates are falling, and get out when the reverse is true.&rModel»), not only because the model is built on an omitted variables bias (see the August 22 2005 comment), but also because the model statistically underperforms a simpler rule that says «get in when stock yields are high and interest rates are falling, and get out when the reverse is true.&rmodel is built on an omitted variables bias (see the August 22 2005 comment), but also because the model statistically underperforms a simpler rule that says «get in when stock yields are high and interest rates are falling, and get out when the reverse is true.&rmodel statistically underperforms a simpler rule that says «get in when stock yields are high and interest rates are falling, and get out when the reverse is true.»

I suspect that a lot of this bias is based on the technology from the outset of the bulk shipping model.

Looking at Facebook, it's clear that its user model has a definite bias toward connecting people one - on - one or in small groups.

That liberals are just as guilty of antiscience bias comports more with accounts of humans chomping canines, and yet those on the left are just as skeptical of well - established science when findings clash with their political ideologies, such as with GMOs, nuclear power, genetic engineering and evolutionary psychology — skepticism of the last I call «cognitive creationism» for its endorsement of a blank - slate model of the mind in which natural selection operated on humans only from the neck down.

«Being based on climate records, this approach avoids any biases that might affect the sophisticated computer models that are commonly used for understanding global warming.»

«Though we know many of the kinds of biases that can occur, modeling them has to occur on a sample - by - sample basis,» he added.

The sign and size of the bias would depend on the relative magnitude of the average and variance of the underreporting, as well as the covariance between the underreported, and other variables in the model, and would be typically less than the omitted variable bias were these variables to be left out (10, 11).

Based on these observations, the researchers developed a mathematical model to identify how this biased partitioning of the drug pump affects the bacterial population.

That model, coarsely passed down via evolution and refined through learning, simplifies decision - making based on general concepts and its particular biases.

Regional climate model bias correction improved the estimates on changes to future mean runoff

Our «biased» profiling is based on an in vitro model of mouse terminally differentiated myotubes, induced to re-enter the cell cycle by the E1A oncogene (23).

In a new working paper released today, we kick the tires on CREDO's model — identifying four potential methodological weaknesses that could lead to bias, and conclude that none raise serious red flags:

Based on a series of experiments, [5] simulation studies, [6] and statistical tests, [7] elementary school value - added models do seem to address the selection bias problem well, on average.

The confounding effect of linking bias on gains estimated from value - added models.

Research on VAMs indicates that even subtle changes to explanatory variables in value - added models change substantively the ratings of individual.Omitting key variables can lead to bias and including them can reduce that bias.

While no assessment system is without limitations, Tennessee's value - added assessment model stands head and shoulders above others with regard to its focus on the effectiveness of schools, its ability to remove the biasing effects of social and economic influences, and its usefulness in answering critical questions about student progress and educational quality.

Provide professional development to school leaders and educators on cultural competency and implicit bias and co-create train - the - trainer models.

The SPP is largely (40 %) based on school - level value - added model (VAM) output derived via the state's Pennsylvania Education Value - Added Assessment System (PVAAS), also generally known as the Education Value - Added Assessment System (EVAAS), also generally known as the VAM that is «expressly designed to control for out - of - school [biasing] factors.»

The true challenge, should Chetty take it on, would be to put his model up against the other VAMs mentioned above, using the same NYC school - level dataset, and prove to the public that his model is so «cutting - edge» that it does not suffer from the serious issues with reliability, validity, bias, etc. with which all other modelers are contending.

They may also be unwilling to confront their own biases or to acknowledge their prior reliance on the deficit model.

Jeep recently unveiled the nicely revised 2011 Patriot, so this is our last go - round in the outgoing 2010 model, which has harder armrests, an old steering wheel, a stale exterior appearance, and ride and handling quality that are better suited to a Jeep Wrangler than a Jeep that's more on - road biased.

All - wheel drive is standard on all models, including the Quadrifoglio, and the rear - bias system can send up to 60 percent of torque to the front wheels.

The Sport's spec includes double - wishbone suspension front and rear, 20 - inch wheels with road - biased tyres, active anti-roll technology, known as Dynamic Response (standard on supercharged models, optional on others), air suspension, a quicker steering ratio than before (also with a variable ratio) and four - piston Brembo front brakes to complete the dynamic package.

It's got the fastback styling and frameless side windows of the upmarket CLS after which it's modelled, and although car guys and gals will be quick to point out the nose - biased, front wheel drive proportions, to the person on the street it'll simply look like a stylish Mercedes product.

Under the hood lies a twin - turbocharged 5.5 L V8 producing either 550 horsepower and 531 pound - feet of torque on the standard model, and 577 horsepower and 590 pound - feet of torque on the S. All of that power is sent to a seven - speed AMG Speedshift MCT dual - clutch transmission with four different drive modes (Comfort, Sport, Sport +, and Manual) and to a permanent «performance - oriented» all - wheel drive system that's biased 33/67 front - to - rear.

Both models retain all - wheel drive, with a 69 - percent bias towards the rear axle, and they ride on steel springs supported by active dampers, controlling the four - link front and five - link rear suspension systems.

From an engineering standpoint the AMG sports models perfectly deliver on the visual promise of a sporty character with a powerful engine, the standard - fit all - wheel drive system with rear - biased torque split, and sophisticated suspension solutions.

Since the latest Audi RS 4 was introduced in 2005, this degree of rearward bias has been standard on all new Audi models; it guarantees a high level of driving pleasure.

The rear - biased all - wheel drive system is designed to offer optimal grip in all conditions; all - wheel drive models are fitted with an enhanced Dynamic Torque Vectoring Control system, which automatically applies power and braking force to the appropriate wheels, to maintain course under heavy cornering or on low - grip surfaces.

Chrysler 300S AWD and 300C Platinum AWD models benefit even more as Sport mode turns AWD «on» (if off) and enables rear - biased torque for improved dynamics Both «S» gear and «Sport» button provide blistering - quick gear changes, reducing shift times by 37 percent (250 milliseconds versus 400 milliseconds) and can hold the desired gear without unexpected shifts, including at the redline

A smaller bore rear model is available to help maintain proper front to rear bias on vehicles that have been converted to four wheel discs.

Our example, an AWD model, still features some of the RWD model's rear - biased power delivery, sliding between a 50:50 and 30:70 front - to - rear torque split depending on the traction needs.

Instead of being a full - fledged SUV, however, the new model is said to utilize a new performance - biased, mild hybrid setup with at least 400 horsepower on reserve.

Available exclusively on models equipped with the supercharged 3.0 - liter V6 engine - that produces 340 PS (250 kW / 335 hp) and 450 Nm (332 lb - ft) of torque - the all - wheel drive system is rear - biased and actively anticipates wheel slippage.

But if you can't properly frame the question or understand how to remove bias from your data, all the statistical modeling in the universe won't give you even a glimpse of what's really going on.

First, investors exhibit a pronounced «home bias» French and Poterba (1991) report that investors in the USA, Japan and the UK allocate 94 %, 98 %, and 82 % of their overall equity investment, respectively, to domestic equities explain this fact on rational grounds [Lewis (1999)-RSB- Indeed, normative portfolio choice models that take human capital into account typically advise investors to short their national stock market, because of its high correlation with their human capital [Baxter and Jermann (1997)-RSB-.

Simulate model portfolios based on your trading style to spot survivorship bias and long term risks

I may be biased on this as I am working within the veterinary medical model and thus, anything that is considered to be behavioral intervention instead of preventive care, would warrant a veterinary referral.

Twenty years ago, Art Projects International's name, with emphasis on the word «projects» and exclusion of the word «gallery,» announced a bias for activity over locale and signaled a departure from traditional models.

In such an oeuvre we are confronted with an allegorical model of abstraction that relies on the politics of the démodé in standing over and against the bias's associated with the mythos of heroic painting.

Of course, deniers will immediately recognize that Gavin's choice of smooth versus chunky peanut butter, and red versus black ants, and odd versus even numbered dominoes, all biased the model towards a preplanned warming trend, as later confirmed by his personal text messages, to be released on WikiLeaks in coming months.

Progress in the longer term depends on identifying and correcting model biases, accumulating as complete a set of historic observations as possible, and developing improved methods of detection and correction of observational biases.»

A counter side of your model should now (as per your previous posts) also show the impact (#) and bias of «Big NGO» on this whole debate.

Stick to your climate fiction and religious affinity, but do nt bother us with your patological convictions based on biased climate computer models which is spurious and swamped with wishful thinking.

This Nature Climate Change paper concluded, based purely on simulations by the GISS - E2 - R climate model, that estimates of the transient climate response (TCR) and equilibrium climate sensitivity (ECS) based on observations over the historical period (~ 1850 to recent times) were biased low.

In the atmospheric CO2 analysis and forecast, the modelled CO2 fluxes from vegetation are bias corrected based on the optimized fluxes from the CAMS flux inversion system (Agusti - Panareda et al., 2016).

For this purpose, we instructed them to indicate their level of agreement or disagreement with statements such as «the scientists who did the study were biased,» «computer models like those relied on in the study are not a reliable basis for predicting the impact of CO2 on the climate,» and «more studies must be done before policymakers rely on the findings» of the study etc..