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Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
Related publications (34)
Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output
Andreas Pautz, Damar Canggih Wicaksono, Omar Zerkak
The currently adopted practice for uncertainty quantification of thermal-hydraulics code predictions is done through statistical sampling where the code is evaluated multiple times using different values of input parameters that are randomly generated acco ...
2016Accurate Directional Inference for Vector Parameters in Linear Exponential Families
We consider inference on a vector-valued parameter of interest in a linear exponential family, in the presence of a finite-dimensional nuisance parameter. Based on higher-order asymptotic theory for likelihood, we propose a directional test whose p-value i ...
American Statistical Association2014Recursive Compressed Sensing
Martin Vetterli, Nikolaos Freris, Orhan Öçal
We introduce a recursive algorithm for performing compressed sensing on streaming data. The approach consists of a) recursive encoding, where we sample the input stream via overlapping windowing and make use of the previous measurement in obtaining the nex ...
Submitted to IEEE Transactions on Information Theory2013A Euclidean Likelihood Estimator for Bivariate Tail Dependence
The spectral measure plays a key role in the statistical modeling of multivariate extremes. Estimation of the spectral measure is a complex issue, given the need to obey a certain moment condition. We propose a Euclidean likelihood-based estimator for the ...
Taylor & Francis Inc2013Generalized Spatial Regression with Differential Penalization
We propose a novel method for the analysis of spatially distributed data from an exponential family distribution, able to efficiently treat data occurring over irregularly shaped domains. We consider a generalized linear framework and extend the work of Sa ...
2013Hybridization of wave functions in one-dimensional localization
A quantum particle can be localized in a disordered potential, the effect known as Anderson localization. In such a system, correlations of wave functions at very close energies may be described, due to Mott, in terms of a hybridization of localized states ...
2012Compressible distributions for high-dimensional statistics
We develop a principled way of identifying probability distributions whose independent and identically distributed realizations are compressible, i.e., can be well approximated as sparse. We focus on Gaussian compressed sensing, an example of underdetermin ...
Institute of Mathematical Statistics2012Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown parameter. Thus in order to support the state estimator with prior information o ...
2010A Novel Bayesian Impulse Radio Ultra-WideBand Ranging Algorithm
Jean-Yves Le Boudec, John Farserotu, Hai Zhan
We consider the problem of ranging with Impulse Radio (IR) Ultra-WideBand (UWB) radio under weak Line Of Sight (LOS) environments and additive Gaussian noise. We use a Bayesian approach where the prior distribution of the channel follows the IEEE 802.15.4a ...
IEEE2009Impulse Radio Ultra-WideBand ranging and localization for sensor networks
In this thesis, we focus on Impulse Radio (IR) Ultra-WideBand (UWB) ranging and positioning techniques under indoor propagation environments. IR-UWB, a new carrierless communication scheme using impulses, is a candidate technology for future communication, ...
EPFL2009