Publications related to Parameter

Bayesian regression explains how human participants handle parameter uncertainty

Michael Herzog, Jean-Pascal Théodor Pfister, Maya Anna Jastrzebowska, Mattew Pachai

Author summary How do humans make prediction when the critical factor that influences the quality of the prediction is hidden? Here, we address this question by conducting a simple psychophysical experiment in which participants had to extrapolate a parabo ...

2020

Long-term evolution of Landau damping in the presence of transverse noise, feedback, and detuning

Xavier Buffat, Sondre Vik Furuseth

The effect of Landau damping is often calculated assuming a Gaussian beam distribution in all transverse degrees of freedom, which agrees reasonably well with beam measurements. However, the stability of the beam is strongly dependent on the details of the ...

AMER PHYSICAL SOC2020

Estimating network travel time reliability with network partitioning

Nikolaos Geroliminis, Mohammadreza Saeedmanesh

Network travel time reliability can be represented by a relationship between network space-mean travel time and the standard deviation of network travel time. The primary objective of this paper is to improve estimation of the network travel time reliabili ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Mohsen Talebkeikhah, Farzaneh Talebkeikhah, Mohammad Torkashvand

This study evaluates and compares several machine learning methods on the effects of different parameters in lead adsorption capacity. pH, contact time, adsorbent dosage and initial lead concentration were considered as inputs and adsorption capacity was r ...

TAYLOR & FRANCIS LTD2020

Global uncertainty-sensitivity analysis on mechanistic kinetic models: From model assessment to theory-driven design of nanoparticles

Paul Bowen, Andrea Testino, Agnese Carino, Mohammad Reza Andalibi

Recently, we developed a population balance framework describing the precipitation of calcium-silicate-hydrate, a key nanomaterial in the construction industry and with potential applications in biomedicine, environmental remediation, and catalysis. In thi ...

2020

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

Fabio Nobile, Matthieu Claude Martin, Panagiotis Tsilifis

In this paper, we present a multilevel Monte Carlo (MLMC) version of the Stochastic Gradient (SG) method for optimization under uncertainty, in order to tackle Optimal Control Problems (OCP) where the constraints are described in the form of PDEs with rand ...

MATHICSE2020

Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Luca Carraro, Marino Gatto

The spread of coronavirus disease 2019 (COVID-19) in Italy prompted drastic measures for transmission containment. We examine the effects of these interventions, based on modeling of the unfolding epidemic. We test modeling options of the spatially explici ...

NATL ACAD SCIENCES2020

Comparison of gait characteristics between clinical and daily life settings in children with cerebral palsy

Kamiar Aminian, Anisoara Ionescu, Lena Carcreff, Stéphane Armand

Gait assessments in standardized settings, as part of the clinical follow-up of children with cerebral palsy (CP), may not represent gait in daily life. This study aimed at comparing gait characteristics in laboratory and real life settings on the basis of ...

NATURE PUBLISHING GROUP2020

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Parameter

Bayesian regression explains how human participants handle parameter uncertainty

Long-term evolution of Landau damping in the presence of transverse noise, feedback, and detuning

Methods and systems for particle characterisation

Estimating network travel time reliability with network partitioning

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

Global uncertainty-sensitivity analysis on mechanistic kinetic models: From model assessment to theory-driven design of nanoparticles

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures

Comparison of gait characteristics between clinical and daily life settings in children with cerebral palsy

Graph Chatbot

Chat with Graph Search

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Global uncertainty-sensitivity analysis on mechanistic kinetic models: From model assessment to theory-driven design of nanoparticles

Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures

Comparison of gait characteristics between clinical and daily life settings in children with cerebral palsy

Long-term evolution of Landau damping in the presence of transverse noise, feedback, and detuning

Methods and systems for particle characterisation

Bayesian regression explains how human participants handle parameter uncertainty

Estimating network travel time reliability with network partitioning

A new spatial count data model with Bayesian additive regression trees for accident hot spot identification