Sentences with phrase «probability density»
"probability density" refers to how likely or probable it is for an event or outcome to occur within a given range. It measures the concentration of probabilities over a specific interval. Full definition
There is no way of obtaining just a limited segment of the flat interval in a CI for the self - evident reason that the posterior CDF is flat; there is zero change of probability density across this interval.
climateaudit.org
A number of subsequent publications qualitatively describe parameter values that allow models to reproduce features of observed changes, but without directly estimating a climate sensitivity probability density function (PDF).
I don't know about compartmentalization but I can't see why anything matters in investment except the payoff probability density function, or more simply, the expected value.
By mistake, in Figures S1a and S1b of the GRL Auxiliary Material, Dr Forest included the graphs from the MIT Report version, showing very different probability densities (PDFs) for climate sensitivity than those in Figure 2 of the main text of Forest 2006 in GRL.
Definitions of rare vary, but an extreme weather event would normally be as rare as or rarer than the 10th or 90th percentile of the observed probability density function.
Traders will have access to regional probability density plots of the CHI ™ for all hurricanes that are predicted to approach within 100 nautical miles of the coastline.
The number of cyclones in a simulated year is sampled randomly from the historical record, and the cyclone genesis sites are simulated with a spatial probability density function using kernels with optimized bandwidths.
That's why probability density can usually be used to define the likelihood function (absent excessive rounding of the measurement).
The following constraint gives a double - sided exponential or Laplace probability density function (PDF) shown in the lower curve which when variationally optimized gives
Reliance can not be placed on paleoclimate proxy - based estimates of ECS — the AR4 WG1 report concluded (Box 10.2) that uncertainties in Last Glacial Maximum studies are just too great, and the only probability density function (PDF) for ECS it gave from a last millennium proxy - based study contained little information.
Regression of ECS on the strength of the relationship between TLC reflection variability and SST with models weighted by how «good» they are, using either Brient & Schneider's model weightings or those derived directly from model likelihoods given the observational probability density, explains almost none of the intermodel variance in ECS.