Concept

Likelihood principle

Related publications (116)

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Optimal Spectral Feature Detection for Spectrum Sensing at Very Low SNR

Ali H. Sayed, Wenyi Zhang

Spectrum sensing is one of the enabling functionalities for cognitive radio systems to operate in the spectrum white space. To protect the primary incumbent users from interference, the cognitive radio is required to detect incumbent signals at very low si ...

IEEE2011

A Sampling Theory Approach for Continuous ARMA Identification

Michaël Unser, Hagay Kirshner, Simona Maggio

The problem of estimating continuous-domain autoregressive moving-average processes from sampled data is considered. The proposed approach incorporates the sampling process into the problem formulation while introducing exponential models for both the cont ...

IEEE2011

A new analysis method for paired comparison and its application to 3D quality assessment

Touradj Ebrahimi, Jong Seok Lee, Lutz Goldmann

Among various subjective quality evaluation methodologies, paired comparison has the advantage of improved simplicity of the subjects’ evaluation task due to simplified rating scales and direct comparison of two stimuli. Thus, it may lead to more reliable ...

2011

Modelling human perception of static facial expressions

Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini, Javier Cruz Mota, Thomas Robin

A recent internet based survey of over 35'000 samples has shown that when different human observers are asked to assign labels to static human facial expressions, different individuals categorize differently the same image. This fact results in a lack of a ...

2010

Geostatistics of Extremes

Mehdi Gholam

Extreme climate events have been investigated by many researchers in recent decades, and statisticians too have developed statistical tools capable of dealing with them. Although extreme value theory has been extensively developed and used in modelling eve ...

EPFL2010

Likelihood-Based Inference for Max-Stable Processes

Simone Padoan

The last decade has seen max-stable processes emerge as a common tool for the statistical modeling of spatial extremes However, their application is complicated due to the unavailability of the multivariate density function and so likehhood-based methods r ...

American Statistical Association2010

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

Optimal Linear Fusion for Distributed Detection Via Semidefinite Programming

Ali H. Sayed

Consider the problem of signal detection via multiple distributed noisy sensors. We study a linear decision fusion rule of [Z. Quan, S. Cui, and A. H. Sayed, ¿Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks,¿ IEEE J. Sel. Topics ...

IEEE2010

Simple Methods for Evaluating and Comparing Binary Experiments

Thomas Alois Weber

We consider a confidence parametrization of binary information sources in terms of appropriate likelihood ratios. This parametrization is used for Bayesian belief updates and for the equivalent comparison of binary experiments. In contrast to the standard ...

2010

A generic calibration framework for joint estimation of car following models using microscopic data

Microscopic simulation models have become widely applied tools in traffic engineering. Nevertheless, parameter identification of these models remains a difficult task. This is for one caused by the fact that parameters are generally not directly observable ...

2010