Improving distance sampling: accounting for covariates and non-independency between sampled sites

Improving distance sampling: accounting for covariates and nonindependency between sampled sites

1. There is currently much interest in replacing the design-based component of conventional distance sampling methods by a modelling approach where animal densities are related to environmental covariates. These models allow identification of relationships between density and covariates. One of the uses of such models is to assess the effects of some intervention on numbers for species of conse...

Improving Sampled Microprocessor Simulation Improving Sampled Microprocessor Simulation

Sub-sampled Newton Methods with Non-uniform Sampling

We consider the problem of finding the minimizer of a convex functionF : R → R of the form F (w) := ∑n i=1 fi(w) + R(w) where a low-rank factorization of ∇fi(w) is readily available. We consider the regime where n d. We propose randomized Newton-type algorithms that exploit non-uniform sub-sampling of {∇fi(w)}i=1, as well as inexact updates, as means to reduce the computational complexity, and ...

Wavelet Sampling Theorems for Irregularly Sampled Signals

In digital signal and image processing, digital communications, and so forth, a continuous signal is usually represented and processed by using its discrete samples. How, then, are we to reconstruct the original signal from its discrete samples? The classical Shannon sampling theorem gives the following formula for band-limited finite energy signals. For a finite energy s-band continuous signal...

Accounting for time - dependent covariates in driving simulator studies

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