Publications associées à Generalized linear mixed model

Structural Identification of Piecewise-Linear Models of Genetic Regulatory Networks

We present a method for the structural identification of genetic regulatory networks (GRNs), based on the use of a class of Piecewise-Linear (PL) models. These models consist of a set of decoupled linear models describing the different modes of operation o ...

Mary Ann Liebert, Inc. 2 Madison Avenue Larchmont, NY 10538 USA2008

Stiffness degradation and life prediction of adhesively- bonded joints for fiber-reinforced polymer composites

Thomas Keller, Anastasios Vassilopoulos, Ye Zhang

Adhesively-bonded joints, including double- and stepped- lap joints (DLJs and SLJs), were experimentally investigated under cyclic tensile loading. The joints were composed of pultruded GFRP laminates and epoxy adhesive. A critical stiffness was found for ...

2008

The Case for Structured Random Codes: Beyond Linear Models

Michael Christoph Gastpar

Recent work has shown that for some multi-user networks, carefully controlling the algebraic structure of the coding scheme may be just as useful as selecting the correct input distribution. In particular, for linear channel models, including finite field ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

False Discovery Rate for Wavelet-Based Statistical Parametric Mapping

Michaël Unser, Dimitri Nestor Alice Van De Ville

Model-based statistical analysis of functional magnetic resonance imaging (fMRI) data relies on the general linear model and statistical hypothesis testing. Due to the large number of intracranial voxels, it is important to deal with the multiple compariso ...

IEEE2008

Bayesian Inference for Sparse Generalized Linear Models

Matthias Seeger, Matthias Bethge

We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The parameters can be endowed with a factorizing prior distribution, encoding properties ...

Springer2007

Accelerating Distributed Consensus Using Extrapolation

Pascal Frossard, Effrosyni Kokiopoulou

In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods proposed in the literature attack this problem by distributed linear iterative algorithms, wi ...

2007

Wavelet based statistical analysis for optical imaging in mouse olfactory bulb

Michaël Unser, Dimitri Nestor Alice Van De Ville, Thierry Blu

Optical imaging is a powerful technique to map brain function in animals. In this study, we consider in vivo optical imaging of the murine olfactory bulb, using an intrinsic Signal and a genetically expressed activity reporter fluorescent protein (synaptop ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007

Wavelet-Based Statistical Analysis for Optical Imaging in Mouse Olfactory Bulb

Michaël Unser, Dimitri Nestor Alice Van De Ville, Thierry Blu

Optical imaging is a powerful technique to map brain function in animals. In this study, we consider in vivo optical imaging of the murine olfactory bulb, using an intrinsic signal and a genetically expressed activity reporter fluorescent protein (synaptop ...

IEEE2007

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Generalized linear mixed model

Structural Identification of Piecewise-Linear Models of Genetic Regulatory Networks

Stiffness degradation and life prediction of adhesively- bonded joints for fiber-reinforced polymer composites

The Case for Structured Random Codes: Beyond Linear Models

Investigating signal integration with canonical correlation analysis of fMRI brain activation data

False Discovery Rate for Wavelet-Based Statistical Parametric Mapping

Subfilter-scale fluxes over a surface roughness transition. Part II: Evaluation of large-eddy simulation models

Bayesian Inference for Sparse Generalized Linear Models

Accelerating Distributed Consensus Using Extrapolation

Wavelet based statistical analysis for optical imaging in mouse olfactory bulb

Wavelet-Based Statistical Analysis for Optical Imaging in Mouse Olfactory Bulb

Graph Chatbot

Chattez avec Graph Search

Bayesian Inference for Sparse Generalized Linear Models

False Discovery Rate for Wavelet-Based Statistical Parametric Mapping

Wavelet based statistical analysis for optical imaging in mouse olfactory bulb

Wavelet-Based Statistical Analysis for Optical Imaging in Mouse Olfactory Bulb

Structural Identification of Piecewise-Linear Models of Genetic Regulatory Networks

Investigating signal integration with canonical correlation analysis of fMRI brain activation data

Stiffness degradation and life prediction of adhesively- bonded joints for fiber-reinforced polymer composites

Accelerating Distributed Consensus Using Extrapolation

The Case for Structured Random Codes: Beyond Linear Models

Subfilter-scale fluxes over a surface roughness transition. Part II: Evaluation of large-eddy simulation models