Publications related to Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data

Fingerprinting the reactive toxicity pathways of 50 drinking water disinfection by-products

A set of nine in vitro cellular bioassays indicative of different stages of the cellular toxicity pathway was applied to 50 disinfection by-products (DBPs) to obtain a better understanding of the commonalities and differences in the molecular mechanisms of ...

Elsevier2016

Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models

Matthieu Marie Cochon de Lapparent

We analyze individual travel discomfort-time tradeoffs in Paris subway using stated choice experiments. The survey design allows to set up in a willingness-to-pay space to estimate the distributions of elasticities of values of travel time savings to crowd ...

2015

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

Michael Lehning, Marc Parlange, Bettina Schaefli, Aurélien Gallice

The development of stream temperature regression models at regional scales has regained some popularity over the past years. These models are used to predict stream temperature in ungauged catchments to assess the impact of human activities or climate chan ...

European Geosciences Union2015

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Kamiar Aminian, Arash Arami, Natacha Vida Martins

Here we present a low-power magnetic measurement system based on only two Hall-effect elements and a permanent magnet integrated into a smart knee prosthesis to accurately measure knee flexion-extension. The smart prosthesis was tested in a robotic knee si ...

Institute of Electrical and Electronics Engineers2015

Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression

Volkan Cevher, Yen-Huan Li

We consider Poisson regression with the canonical link function. This regression model is widely used in regression analysis involving count data; one important application in electrical engineering is transmission tomography. In this paper, we establish t ...

2015

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

EMG-based learning approach for estimating wrist motion

Aude Billard, Silvestro Micera, Sahar El Khoury, Iason Batzianoulis

This paper proposes an EMG based learning approach for estimating the displacement along the 2-axes (abduction/adduction and flexion/extension) of the human wrist in real-time. The algorithm extracts features from the EMG electrodes on the upper and forear ...

2015

A Novel Acute Retroviral Syndrome Severity Score Predicts the Key Surrogate Markers for HIV-1 Disease Progression

Jacques Fellay

Objective: Best long-term practice in primary HIV-1 infection (PHI) remains unknown for the individual. A risk-based scoring system associated with surrogate markers of HIV-1 disease progression could be helpful to stratify patients with PHI at highest ris ...

Public Library of Science2014

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

Investigating the Monthly Mean Stream Temperature Dynamics

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

Affecting the habitat suitability of many fish species, water temperature is a hydrological factor of great concern in the actual context of climate change. Despite more than 40 years of research on this topic, the impact of landscape on the dynamics of st ...

2014

Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data

Graph Chatbot

Chat with Graph Search

Fingerprinting the reactive toxicity pathways of 50 drinking water disinfection by-products

Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression

Sparsistency of $\ell_1$-Regularized $M$-Estimators

EMG-based learning approach for estimating wrist motion

A Novel Acute Retroviral Syndrome Severity Score Predicts the Key Surrogate Markers for HIV-1 Disease Progression

Exploratory Analysis of Endogeneity in Discrete Choice Models

Investigating the Monthly Mean Stream Temperature Dynamics

Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models

Exploratory Analysis of Endogeneity in Discrete Choice Models

Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression

EMG-based learning approach for estimating wrist motion

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Fingerprinting the reactive toxicity pathways of 50 drinking water disinfection by-products

A Novel Acute Retroviral Syndrome Severity Score Predicts the Key Surrogate Markers for HIV-1 Disease Progression

Investigating the Monthly Mean Stream Temperature Dynamics