Concept

Régression non paramétrique

Publications associées (128)

Mixed Finite Elements for spatial regression with PDE penalization

We study a class of models at the interface between statistics and numerical analysis. Specifically, we consider nonparametric regression models for the estimation of spatial fields from pointwise and noisy observations, which account for problem-specific ...

2014

Estimation of Space-Time Varying Parameters Using a Diffusion LMS Algorithm

Ali H. Sayed

We study the problem of distributed adaptive estimation over networks where nodes cooperate to estimate physical parameters that can vary over both space and time domains. We use a set of basis functions to characterize the space-varying nature of the para ...

2014

Exploratory Analysis of Endogeneity in Discrete Choice Models

Michel Bierlaire, Anna Fernández Antolín, Amanda Blomberg Stathopoulos

A model is said to be affected by endogeneity when its deterministic part is correlated with the error term. This is an issue that affects both linear models such as regression and non-linear models like discrete choice models. It is a classical and well s ...

2014

Spectral Density Ratio Models for Multivariate Extremes

Anthony Christopher Davison

The modeling of multivariate extremes has received increasing recent attention because of its importance in risk assessment. In classical statistics of extremes, the joint distribution of two or more extremes has a nonparametric form, subject to moment con ...

American Statistical Association2014

Methodologies for predicting natural frequency variation of a suspension bridge

Ian Smith, Ngoc Thanh Trinh, Irwanda Laory

In vibration-based structural health monitoring, changes in the natural frequency of a structure are used to identify changes in the structural conditions due to damage and deterioration. However, natural frequency values also vary with changes in environm ...

Elsevier2014

Modeling the monthly mean stream temperature dynamics

Michael Lehning, Wolf Hendrik Huwald, Bettina Schaefli, Aurélien Gallice

Water temperature is a hydrological factor which affects the habitat suitability of many aquatic (fish) species, and is therefore of great concern in the actual context of climate change. Two types of models are currently used to simulate stream temperatur ...

2014

Damage prediction for regular reinforced concrete buildings using the decision tree algorithm

Pierino Lestuzzi, Amin Karbassi, Shaliz Rezaee

To overcome the problem of outlier data in the regression analysis for numerical-based damage spectra, the C4.5 decision tree learning algorithm is used to predict damage in reinforced concrete buildings in future earthquake scenarios. Reinforced concrete ...

Elsevier2014

Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU

Kamiar Aminian, Grégoire Millet, Farzin Dadashi

Presented is an accurate swimming velocity estimation method using an inertial measurement unit (IMU) by employing a simple biomechanical constraint of motion along with Gaussian process regression to deal with sensor inherent errors. Experimental validati ...

Institution of Engineering and Technology2013

Mean field variational Bayesian inference for nonparametric regression with measurement error

Tung Huy Pham

A fast mean field variational Bayes (MFVB) approach to nonparametric regression when the predictors are subject to classical measurement error is investigated. It is shown that the use of such technology to the measurement error setting achieves reasonable ...

Elsevier2013

Analysis and prediction of TBM performance in blocky rock conditions at the Lotschberg Base Tunnel

Jian Zhao, Andrea Delisio

This paper focuses on the analysis of the TBM performance recorded during the excavation of the Lotschberg Base Tunnel. The southern part of the tunnel was excavated by two gripper TBMs, partly through blocky rock masses at great depth. The jointed nature ...

Elsevier2013

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