This paper presents a novel concept of multi-drop path-based multidestination message passing on switch-based irregular networks. First, the multi-drop mechanism is deened with an associated header encoding scheme, and this mechanism is used to develop path-based multidestination worms. Next, a method is proposed to identify valid multidestination paths on arbitrary irregular networks with a ty...

This paper presents a novel concept of multi-drop path-based multidestination message passing on switch-based irregular networks. First, the multi-drop mechanism is deened with an associated header encoding scheme, and this mechanism is used to develop path-based multidestination worms. Next, a method is proposed to identify valid multidestination paths on arbitrary irregular networks with a ty...

PURPOSE This study sought to evaluate factors associated with hospital length of stay in cancer patients with febrile neutropenia. METHODS A prospective cohort study was performed at a single tertiary referral hospital in southern Brazil from October 2009 to August 2011. All adult cancer patients with febrile neutropenia admitted to the hematology ward were evaluated. Stepwise random-effects ...

In this paper, two-state Markov switching models are proposed to study accident frequencies. These models assume that there are two unobserved states of roadway safety, and that roadway entities (roadway segments) can switch between these states over time. The states are distinct, in the sense that in the different states accident frequencies are generated by separate counting processes (by sep...

Coding theory plays an important role in efficient transmission of data over noisy communication channels. It consists of two steps; the first step is to encode the data to reduce its sensitivity to noise during transmission, and the second step is to decode the received data by detecting and correcting the noise induced errors. In this thesis an algebraic approach is used to develop efficient ...

In many applications (e.g. recognition of geophysical and biomedical signals and multiscale analysis of images), it is of interest to analyze and recognize phenomena occuring at different scales. The recently introduced wavelet transforms provide a time-and-scale decomposition of signals that offers the possibility of such analysis. At present, however, there is no corresponding statistical fra...

We describe a set of new estimators for the N-point correlation functions of point processes. The variance of these estimators is calculated for the Poisson and binomial cases. It is shown that the variance of the unbiased estimator converges to the continuum value much faster than with any previously used alternative, all terms with slower convergence exactly cancel. We compare our estimators ...

Although Gaussian process inference is usually formulated for a single output, in many machine learning problems the objective is to infer multiple tasks jointly, possibly exploring the dependencies between them to improve results. Real world examples of this problem include ore mining where the objective is to infer the concentration of several chemical components to assess the ore quality. Si...