Authors: Yair Goldberg, Ya'acov Ritov, Avishai Mandelbaum
arXiv
We show how to construct the best linear unbiased predictor (BLUP) for the continuation of a curve in a spline-function model. We assume that the entire curve is drawn from some smooth random process...
Authors: Joel Vaughan, Stilian A. Stoev, George Michailidis
arXiv
In order to maintain consistent quality of service, computer network engineers face the task of monitoring the traffic fluctuations on the individual links making up the network. However, due to resou...
Authors: Rossi A. Hassad
arXiv
There is widespread emphasis on reform in the teaching of introductory statistics at the college level. Underpinning this reform is a consensus among educators and practitioners that traditional curri...
Authors: Amnon Amir, Or Zuk
arXiv
Bacteria are the unseen majority on our planet, with millions of species and comprising most of the living protoplasm. While current methods enable in-depth study of a small number of communities, a s...
Authors: Mugizi Rwebangira
arXiv
The problem of ranking a set of objects given some measure of similarity is one of the most basic in machine learning. Recently Agarwal proposed a method based on techniques in semi-supervised learn...
Authors: John Panaretos, Chrisovaladis Malesios
arXiv
Research output and impact is currently the focus of serious debate worldwide. Quantitative analyses based on a wide spectrum of indices indicate a clear advantage of US institutions as compared to...
Authors: Thomas Brendan Murphy, Nema Dean, Adrian E. Raftery
arXiv
Food authenticity studies are concerned with determining if food samples have been correctly labeled or not. Discriminant analysis methods are an integral part of the methodology for food authenticati...
Authors: Gerhard Werner
arXiv
This essay is presented with two principal objectives in mind: first, to document the prevalence of fractals at all levels of the nervous system, giving credence to the notion of their functional...
Authors: W. Evan Johnson, X. Shirley Liu, Jun S. Liu
arXiv
Microarrays have been developed that tile the entire nonrepetitive genomes of many different organisms, allowing for the unbiased mapping of active transcription regions or protein binding sites acr...
Authors: Hugo Zanghi, Stevenn Volant, Christophe Ambroise
arXiv
Large datasets with interactions between objects are common to numerous scientific fields (i.e. social science, internet, biology...). The interactions naturally define a graph and a common way to e...
Authors: Jan Karbowski
arXiv
There have been suggestions that heat caused by cerebral metabolic activity may constrain mammalian brain evolution, architecture, and function. This article investigates physical limits on brain wi...
Authors: Genevera I. Allen, Robert Tibshirani
arXiv
Missing data estimation is an important challenge with high-dimensional data arranged in the form of a matrix. Typically this data matrix is transposable, meaning that either the rows, columns or both...
Authors: Patrick O. Perry, Patrick J. Wolfe
arXiv
Rank estimation is a classical model order selection problem that arises in a variety of important statistical signal and array processing systems, yet is addressed relatively infrequently in the ex...
Authors: Peter J. Green, Julia Mortera
arXiv
Many forensic genetics problems can be handled using structured systems of discrete variables, for which Bayesian networks offer an appealing practical modeling framework, and allow inferences to be...
Authors: Brisa N. Sánchez, Esben Budtz-Jørgensen, Louise M. Ryan
arXiv
The analysis of data arising from environmental health studies which collect a large number of measures of exposure can benefit from using latent variable models to summarize exposure information. H...