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A dimension reduction technique for estimation in linear mixed models

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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

Bayesian Inference and Optimal Design in the Sparse Linear Model

Matthias Seeger

The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maximum a posteriori sparse solutions and neglect to represent posterior uncertain ...

Massachusetts Institute of Technology Press2008

Accurate parametric inference for small samples

Anthony Christopher Davison

We outline how modern likelihood theory, which provides essentially exact inferences in a variety of parametric statistical problems, may routinely be applied in practice. Although the likelihood procedures are based on analytical asymptotic approximations ...

2008

Multivariate Calibration of Non-replicated Measurements for Heteroscedastic Errors

Nirav Pravinbhai Bhatt

The quality of multivariate calibration (MVC) models obtained depends on the effective treatment of errors in spectral data. If errors in different absorbance measurements are correlated and have different variances, then the Maximum Likelihood Principal C ...

2007

Compact representations for static and dynamic texture synthesis

Roberto Costantini

In nature, textures can be found everywhere. Texture, together with color and shape, represents the fundamental characteristics of objects. Texture conveys an idea of repetition of a certain structure, which is not limited only to the visual domain. We can ...

EPFL2007

Influence of lamination parameters on LTCC shrinkage under unconstrained sintering

Peter Ryser, Thomas Maeder, Yannick Sébastien Fournier, Louis-Séverin Bieri

LTCC (Low-Temperature Cofired Ceramic) has attracted considerable interest as a material for sensors and microfluidic circuits, for which dimensional accuracy is essential. The irregular shrinkage behaviour of LTCC tapes must be taken into account when des ...

2006

Thermoelectrical study of ferromagnetic nanowire structures

Jean-Philippe Ansermet, Santiago Serrano Guisan

The mixed effects of heat and charge transports have been studied at room temperature for NiCu and CoCu multilayers with currents perpendicular to the interfaces as well as Ni and Co homogeneous nanowires. In order to carry out this analysis, magnetothermo ...

American Institute of Physics2006

Variance-Covariance perturbation analysis of a Linear Model

Pierre-Yves Gilliéron, Bertrand Merminod

In this paper the perturbation influence properties of the stochastic model (variance-covariance) in linear models is discussed in detail. Some very useful formulae are established about the variance-covariance perturbation influence on the model parameter ...

2003

Identification of an Experimental Hybrid System

Giancarlo Ferrari Trecate

In this paper we present an experimental study in the identification of an industrial hybrid system. Piecewise ARX models, that consist of a number of ARX models, together with the partition of the regressor space into regions where each of the models is v ...

2003

Group sequential procedures for multiple comparison of rates of change

Group sequential methods find a particular field of application in clinical trials because patient recruitment is by nature sequential. It is important to minimize the number of patients exposed to an inferior treatment. Moreover, the experimenter is requi ...

EPFL1998