Publications associées à Semiparametric model

Thermal profile construction for energy-intensive industrial sectors

François Maréchal, Ivan Daniel Kantor, Greta Martha Van Eetvelde, Maziar Kermani, Anna Sophia Wallerand, Hür Ebuzer Bütün, Alessio Santecchia, Franz Wolf

Industrial plant data are difficult to find in academic literature for a number of reasons such as confidentiality, and thus intentional masking, or problem size reduction. These common practices limit the ability of researchers to apply novel methods to r ...

2018

Embodied Carbon Benefits of Reusing Structural Components in the Built Environment: a Medium-rise Office Building Case Study

Corentin Jean Dominique Fivet, Jan Friedrich Georg Brütting, Catherine Elvire L. De Wolf

This paper provides parametric estimates of embodied carbon reductions when structural components are reused in a typical office building. First, a lower bound of structural material quantities is estimated for a typical steel frame structure in a low-rise ...

2018

Modelling across extremal dependence classes

Anthony Christopher Davison, Jonathan A. Tawn, Jennifer Lynne Wadsworth

Different dependence scenarios can arise in multivariate extremes, entailing careful selection of an appropriate class of models. In bivariate extremes, the variables are either asymptotically dependent or are asymptotically independent. Most available sta ...

Wiley-Blackwell2017

Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures

Emeric Rolland Georges Thibaud, Raphaël Huser

Gaussian scale mixtures are constructed as Gaussian processes with a random variance. They have non-Gaussian marginals and can exhibit asymptotic dependence unlike Gaussian processes, which are asymptotically independent except in the case of perfect depen ...

Elsevier Sci Ltd2017

Active Online Anomaly Detection using Dirichlet Process Mixture Model and Gaussian Process Classification

Jean-Marc Odobez, Pierre Moulin, Jagannadan Varadarajan

We present a novel anomaly detection (AD) system for streaming videos. Different from prior methods that rely on unsupervised learning of clip representations, that are usually coarse in nature, and batch-mode learning, we propose the combination of two no ...

2017

A continuation multilevel Monte Carlo algorithm

Fabio Nobile, Erik Gustaf Bogislaw Von Schwerin

We propose a novel Continuation Multi Level Monte Carlo (CMLMC) algorithm for weak approximation of stochastic models. The CMLMC algorithm solves the given approximation problem for a sequence of decreasing tolerances, ending when the required error tolera ...

2015

Opportunistic Sampling for Joint Population Size and Density Estimation

Martin Vetterli, Patrick Thiran, Olivier Dousse, Farid Movahedi Naini

Consider a set of probes, called “agents”, who sample, based on opportunistic contacts, a population moving between a set of discrete locations. An example of such agents are Bluetooth probes that sample the visible Bluetooth devices in a population. Based ...

2015

Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation

Anthony Christopher Davison

Saddlepoint techniques have been used successfully in many applications, owing to the high accuracy with which they can approximate intractable densities and tail probabilities. This article concerns their use for the estimation of high-order integer-value ...

American Statistical Association2015

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Semiparametric model

Thermal profile construction for energy-intensive industrial sectors

Embodied Carbon Benefits of Reusing Structural Components in the Built Environment: a Medium-rise Office Building Case Study

Modelling across extremal dependence classes

Robust Distributed Estimation by Networked Agents

Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures

Active Online Anomaly Detection using Dirichlet Process Mixture Model and Gaussian Process Classification

Measuring the effect of nuisance variables on classifiers

A continuation multilevel Monte Carlo algorithm

Opportunistic Sampling for Joint Population Size and Density Estimation

Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation

Graph Chatbot

Chattez avec Graph Search

Modelling across extremal dependence classes

Embodied Carbon Benefits of Reusing Structural Components in the Built Environment: a Medium-rise Office Building Case Study

Active Online Anomaly Detection using Dirichlet Process Mixture Model and Gaussian Process Classification

Opportunistic Sampling for Joint Population Size and Density Estimation

Robust Distributed Estimation by Networked Agents

Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures

A continuation multilevel Monte Carlo algorithm

Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation

Thermal profile construction for energy-intensive industrial sectors

Measuring the effect of nuisance variables on classifiers