Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation

We study the performance of nonparametric Bayes procedures for one-dimensional diffusions with periodic drift. We improve existing convergence rate results for Gaussian process (GP) priors with fixed hyper parameters. Moreover, we exhibit several possibilities to achieve adaptation to smoothness. We achieve this by considering hierarchical procedures that involve either a prior on a multiplicative scaling parameter, or a prior on the regularity parameter of the GP

Full adaptation to smoothness using randomly truncated series priors with Gaussian coefficients and inverse gamma scaling

We study random series priors for estimating a functional parameter (f\in L^2[0,1]). We show that with a series prior with random truncation, Gaussian coefficients, and inverse gamma multiplicative scaling, it is possible to achieve posterior contraction at optimal rates and adaptation to arbitrary degrees of smoothness. We present general results that can be combined with existing rate of contraction results for various nonparametric estimation problems. We give concrete examples for signal estimation in white noise and drift estimation for a one-dimensional SDE

Management of networks that provide QoS guarantees

This paper presents the results of a case study to the feasibility of introducing ATM SVCs into the Dutch SURFnet research ATM network. The key issue that is examined are the implications of the Quality of Service support of ATM. QoS guarantees for a connection require a portion of the finite ATM network resource. Once all network resource is allocated to connections no new connections will be accepted, and users will start experiencing denial of service. The key research question here is if and how this denial of service probability can be kept to a minimum

Initial service management architecture

This document describes D2.2 of the Internet Next Generation project. Internet Next Generation is a project performed within the context of the Gigaport programme, and is funded by many organizations within the Netherlands. The architecture that is described within this document explains how customers of a Differentiated Services (DiffServ) network can manage the service that is provided by them, by reading and modifying QoS parameters in an interactive way. Which parameters are available and which values these parameters can take, is defined in the Service Level Specification (SLS), which is part of the Service Level Agreement (SLA). The form of management in which customers can modify the behaviour of the provided service is called Customer Service Management (CSM); the idea that customers can manage the behaviour of the provided service is not only interesting in case of DiffServ, but also in cases like Mobile IP, IP security or Virtual Private Networks (VPNs). The scope of this deliverable is restricted to QoS management in a DiffServ environment; a subsequent deliverable will extend this work and address how service .management can be performed in other environments, like IntServ / RSVP. This new deliverable will also address the problem of inter domain management

Impact of digestive and oropharyngeal decontamination on the intestinal microbiota in ICU patients

Selective digestive microbial decontamination (SDD) is hypothesized to benefit patients in intensive care (ICU) by suppressing Gram-negative potential pathogens from the colon without affecting the anaerobic intestinal microbiota. The purpose of this study was to provide more insight to the effects of digestive tract and oropharyngeal decontamination on the intestinal microbiota by means of a prospective clinical trial in which faecal samples were collected from ICU patients for intestinal microbiota analysis. The faecal samples were collected from ICU patients enrolled in a multicentre trial to study the outcome of SDD and selective oral decontamination (SOD) in comparison with standard care (SC). Fluorescent in situ hybridization (FISH) was used to analyze the faecal microbiota. The numbers of bacteria from different bacterial groups were compared between the three regimens. The total counts of bacteria per gram faeces did not differ between regimens. The F. prausnitzii group of bacteria, representing an important group among intestinal microbiota, was significantly reduced in the SDD regimen compared to the SC and SOD. The Enterobacteriaceae were significantly suppressed during SDD compared to both SOD and SC; enterococci increased in SDD compared to both other regimens. The composition of the intestinal microbiota is importantly affected by SDD. The F. prausnitzii group was significantly suppressed during SDD. This group of microbiota is a predominant producer of butyrate, the main energy source for colonocytes. Reduction of this microbiota is an important trade-off while reducing gram-negative bacteria by SDD

Relationship between de novo lipogenesis and serum sex hormone binding globulin in humans

Objective Obesity and liver fat are associated with decreased levels of serum sex hormone binding globulin (SHBG). Laboratory studies suggest that hepatic de novo lipogenesis (DNL) is involved in the downregulation of SHBG synthesis. The aim of the present study was to address the role of DNL on serum SHBG in humans. Design A cross-sectional study examining the association between DNL, measured by stable isotopes, and serum SHBG, stratified by sex. Participants Healthy men (n = 34) and women (n = 21) were combined from two cross-sectional studies. Forty-two per cent of participants had hepatic steatosis, and the majority were overweight (62%) or obese (27%). Results DNL was inversely associated with SHBG in women (beta: -0.015, 95% CI: -0.030; 0.000), but not in men (beta: 0.007, 95% CI: -0.005; 0.019) (p for interaction = .068). Adjustment for study population, age and body mass index did not materially change these results, although statistical significance was lost after adjustment for serum insulin. Conclusions An inverse association between DNL and SHBG may explain the decreased SHBG levels that are observed in obesity, at least in women.Peer reviewe

Estimation of the covariance structure from SNP allele frequencies

We propose two new statistics, V and S, to disentangle the population history of related populations from SNP frequency data. If the populations are related by a tree, we show by theoretical means as well as by simulation that the new statistics are able to identify the root of a tree correctly, in contrast to standard statistics, such as the observed matrix of F2-statistics (distances between pairs of populations). The statistic V is obtained by averaging over all SNPs (similar to standard statistics). Its expectation is the true covariance matrix of the observed population SNP frequencies, offset by a matrix with identical entries. In contrast, the statistic S is put in a Bayesian context and is obtained by averaging over pairs of SNPs, such that each SNP is only used once. It thus makes use of the joint distribution of pairs of SNPs. In addition, we provide a number of novel mathematical results about old and new statistics, and their mutual relationship.Comment: In this new version we added the proof that the operator norm of -D/2 is exactly square root of

Web Based ATM PVC Management

This paper discusses the design of a public domain web based ATM PVC Management tool for the Dutch SURFnet research ATM network. The aim of this tool is to assists in the creation and deletion of PVCs through local and remote ATM network domains. The tool includes security mechanisms to restrict the access to these ATM domains, and provides a high level graphical user interface to hide the differences between the ATM switches from various vendors