Concept

Sample maximum and minimum

Related publications (39)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

ODE parameter estimation through a runner's model application

The monitoring of sports' performance has become increasingly popular in the past years. For instance, high precision measurement of runners' speed, foot pace and heart beat are available among others. Usually, coaches are interested in summary statistics ...

2016

Meta-analysis of incomplete microarray studies

Anthony Christopher Davison, Darlene Goldstein

Meta-analysis of microarray studies to produce an overall gene list is relatively straightforward when complete data are available. When some studies lack information, for example, having only a ranked list of genes instead of complete primary data, it is ...

Oxford University Press2015

Double-Normal Pairs In Space

János Pach

A double-normal pair of a finite set S of points that spans R-d is a pair of points {p, q} from S such that S lies in the closed strip bounded by the hyperplanes through p and q perpendicular to pq. A double-normal pair {p, q} is strict if S \ {p,q} lies i ...

London Mathematical Society, Cambridge2015

Function Computation over Networks

Chien-Yi Wang

This thesis looks at efficient information processing for two network applications: content delivery with caching and collecting summary statistics in wireless sensor networks. Both applications are studied under the same paradigm: function computation ove ...

EPFL2015

Meta-analysis of Incomplete Microarray Studies

Meta-analysis of microarray studies to produce an overall gene list is relatively straightforward when complete data are available. When some studies lack information, providing only a ranked list of genes, for example, it is common to reduce all studies t ...

EPFL2014

Identification of Rational Transfer Functions from Sampled Data

Michaël Unser, John Paul Ward, Hagay Kirshner

We consider the task of estimating an operator from sampled data. The operator, which is described by a rational transfer function, is applied to continuous-time white noise and the resulting continuous-time process is sampled uniformly. The main question ...

SampTA2013

Adaptive Strategy for the Statistical Analysis of Connectomes

Jean-Philippe Thiran, Stephan Morgenthaler, Reto Meuli, Patric Hagmann, Djalel Eddine Meskaldji, Leila Cammoun

We study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by conside ...

Public Library of Science2011

MOMS-based Programmable Sampling Rate Converters

Philippe Thévenaz

In this paper design options when implementing programmable sampling rate converters are discussed. The theory and performance of the classical and new converters based on maximum order and minimum support (MOMS) splines is presented. FPGA designs are show ...

2009

Predicting Acute Hypotensive Episodes

Jean-Marc Vesin, Mathieu Lemay, Florian Jousset

The goal of the challenge 2009 is to predict which patients will experience acute hypotensive episode (AHE) within a forecast window. AHE may result in dangerous complications and even death. Predicting the onset of AHE would be of clear benefit to a patie ...

2009

Robust inference for generalized linear models

Sahar Hosseinian Ehrensberger

Generalized Linear Models have become a commonly used tool of data analysis. Such models are used to fit regressions for univariate responses with normal, gamma, binomial or Poisson distribution. Maximum likelihood is generally applied as fitting method. I ...

EPFL2009