Concept

Poisson regression

Related publications (83)

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Three Examples of Accurate Likelihood Inference

Anthony Christopher Davison

The modern theory of likelihood inference provides improved inferences in many parametric models, with little more effort than is required for application of standard first-order theory. We outline the relevant computations, and illustrate the calculations ...

American Statistical Association2010

Wave Propagation in Auxetic Tetrachiral Honeycombs

Alessandro Spadoni

This paper describes a numerical and experimental investigation on the flexural wave propagation properties of a novel class of negative Poisson's ratio honeycombs with tetrachiral topology. Tetrachiral honeycombs are structures defined by cylinders connec ...

American Society of Mechanical Engineers2010

VERS UN MODÈLE PROACTIF POUR IDENTIFIER DES RISQUES DE TRAFIC

André-Gilles Dumont, Ashish Bhaskar, Minh Hai Pham

Our goal is to develop motorway traffic risks identification models using disaggregate traffic data, meteorological data and crash database for a study site at a two-lane-per-direction section on motorway A1 in Urtenen-Schönbühl, Switzerland. We define tra ...

2010

Non-linear mapping for multi-channel speech separation and robust overlapping speech recognition

Hervé Bourlard, John David Scott Dines, Weifeng Li

This paper investigates a non-linear mapping approach to extract robust features for ASR and separation of overlapping speech. Based on our previous studies, we continue to use two additional sound sources, namely, from the target and interfering speakers. ...

2009

Safe density ratio modeling

Kjell Konis

An important problem in logistic regression modeling is the existence of the maximum likelihood estimators. In particular, when the sample size is small, the maximum likelihood estimator of the regression parameters does not exist if the data are completel ...

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

Identifying synergistic regulation involving c-Myc and sp1 in human tissues

Felix Naef

Combinatorial gene regulation largely contributes to phenotypic versatility in higher eukaryotes. Genome-wide chromatin immuno-precipitation (ChIP) combined with expression profiling can dissect regulatory circuits around transcriptional regulators. Here, ...

Oxford University Press2007

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

Continuous Microphone Array Speech Recognition on Wall Street Journal Corpus

Hervé Bourlard

In this paper, we present a robust speech acquisition system to acquire continuous speech using a microphone array. A microphone array based speech recognition system is also presented to study the environmental interference due to reverberation, backgroun ...

IDIAP2005