In many important statistical applications, the number of variables or parameters p is much larger than the number of observations n. Suppose then that we have observations y = Ax+ z, where x ∈ R is a parameter vector of interest, A is a data matrix with possibly far fewer rows than columns, n p, and the zi’s are i.i.d. N(0, σ). Is it possible to estimate x reliably based on the noisy data y? T...

Uncertainty is an inherent property of the environment and a central feature of models of decision-making and learning. Theoretical propositions suggest that one form, unexpected uncertainty, may be used to rapidly adapt to changes in the environment, while being influenced by two other forms: risk and estimation uncertainty. While previous studies have reported neural representations of estima...

A generalized framework for discharge uncertainty estimation is presentedAllows estimation of place-specific discharge uncertainties for many catchmentsLocal conditions dominate in determining discharge uncertainty magnitudes.

n many DoD test and evaluation programs, it is necessary to obtain statistical estimates for parameters in the system under study. For these estimates to provide meaningful system understanding, uncertainty bounds (e.g., statistical confidence intervals) must be attached to the estimates. Current methods for constructing uncertainty bounds are almost all based on theory that assumes a large amo...

seismic waves are filtered as they pass through soil layers, from bedrock to surface. frequencies and amplitudes of the response wave are affected due to this filtration effect and this will result in different ground motion characteristics. therefore, it is important to consider the impact of the soil properties on the evaluation of earthquake ground motions for the design of structures. soil ...

A study was organised where consistency of measurement uncertainty estimations between laboratories in Finland, Sweden and Estonia was surveyed. For all laboratories a file was delivered containing the same set of fictional quality control and validation results for the measurement of total nitrogen in waste water. The laboratories were asked to evaluate the measurement uncertainty using qualit...

We present fixed domain asymptotic results that establish consistent estimates of the variance and scale parameters for a Gaussian random field with a geometric anisotropic Matérn autocovariance in dimension d > 4. When d < 4 this is impossible due to the mutual absolute continuity of Matérn Gaussian random fields with different scale and variance (see Zhang [J. Amer. Statist. Assoc. 99 (2004) ...

This paper presents a new and highly efficient approach for finding correspondences across volumes with large motion. Most existing registration approaches are set in the continuous optimisation domain, which has severe limitations for estimating larger deformations. Featurebased approaches that rely on finding corresponding keypoints have been proposed, but they are prone to erroneous matching...

in this paper an efficient three- stage algorithm is developed for software production cost and time estimation. first stage includes a hybrid model composed of cocomo and function points methods to increase estimation accuracy. second stage encompasses paired comparisons matrix of analytical hierarchy process to determine amount of any resources consumed in each step of software production by ...

A new method for estimating the fundamental frequencies of concurrent musical sounds is described. The method is based on an iterative approach, where the fundamental frequency of the most prominent sound is estimated, the sound is subtracted from the mixture, and the process is repeated for the residual signal. For the estimation stage, an algorithm is proposed which utilizes the frequency rel...