Concept

Simultaneous equations model

Publications associées (33)

Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables

We propose ordering-based approaches for learning the maximal ancestral graph (MAG) of a structural equation model (SEM) up to its Markov equivalence class (MEC) in the presence of unobserved variables. Existing ordering-based methods in the literature rec ...

Association for the Advancement of Artificial Intelligence (AAAI)2023

Exploring the Contribution of Proprioceptive Reflexes to Balance Control in Perturbed Standing

Auke Ijspeert, Anne Daniëlle Koelewijn

Humans control balance using different feedback loops involving the vestibular system, the visual system, and proprioception. In this article, we focus on proprioception and explore the contribution of reflexes based on force and length feedback to standin ...

FRONTIERS MEDIA SA2020

Three- or Two-Stage Stochastic Market-Clearing Algorithm?

Farzaneh Abbaspourtorbati, Antonio J. Conejo

As the power industry considers moving from a deterministic paradigm to a stochastic one to clear the day-ahead market in systems with significant stochastic production, the following question arises: how should a stochastic clearing algorithm be formulate ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Urbaniser la campagne

Marlène Audrey Bertille Leroux

The primary goal of this research is to undertake an analytical study addressing the urbanisation of rural areas as a major territorial, environmental and cultural challenge. The new relations that have developed between urban and rural areas clearly signa ...

EPFL2017

Structural estimation for route choice models considering link specificity of measurement error variances

Yuki Oyama

For estimating parameters of discrete choice models, observations corresponding to the models are required. In the context of route choice models, we need the information of paths, which are sequences of links and connect between the origin-destination pa ...

2017

Incremental Model Identification of Reaction Systems

Dominique Bonvin, Julien Léo Billeter, Michael Amrhein, Sriniketh Srinivasan, Diogo Filipe Mateus Rodrigues, Nirav Pravinbhai Bhatt

The identification of reaction kinetics represents the main challenge in building models for reaction systems. The identification task can be performed via either simultaneous model identification (SMI) or incremental model identification (IMI), the latter ...

2017

Where You Are is Who You Are: User Identification by Matching Statistics

Martin Vetterli, Patrick Thiran, Jayakrishnan Unnikrishnan, Farid Movahedi Naini

Most users of online services have unique behavioral or usage patterns. These behavioral patterns can be used to identify and track users by using only the observed patterns in the behavior. We study the task of identifying users from statistics of their b ...

Institute of Electrical and Electronics Engineers2016

Spatial fringe analysis techniques for multiple phase and phase derivative estimation

Rishikesh Dilip Kulkarni

Analysis of fringe patterns for the accurate estimation of phase and phase derivatives is of crucial importance in optical interferometry as these quantities provide important information on the physical parameters under study. A wide range of applications ...

EPFL2016

Biokinetic process model diagnosis with shape-constrained spline functions

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Model-structure identification is important for the optimization and design of biokinetic processes. Standard Monod and Tessier functions are often used by default to describe bacterial growth with respect to a substrate, leading to significant optimizatio ...

2016

Data Reconciliation in Reaction Systems using the Concept of Extents

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Abstract of the conference paper Concentrations measured during the course of a chemical reaction are corrupted with noise, which reduces the quality of information. Since these measurements are used for identifying kinetic models, the noise imp ...

Elsevier2015

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