Publications related to Stable computation of probability densities for metastable dynamical systems

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

We analyze the accuracy of the discrete least-squares approximation of a function u in multivariate polynomial spaces

P_\Lambda := span\{y \mapsto y^\nu | \nu \in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma := [-1,1]^d

, based on the sa ...

MATHICSE2015

Adaptive polynomial approximation by means of random discrete least squares

Giovanni Migliorati

We address adaptive multivariate polynomial approximation by means of the discrete least-squares method with random evaluations, to approximate in the L2 probability sense a smooth function depending on a random variable distributed according to a given pr ...

Springer2015

Statistical analysis and modeling of intermittent transport events in the tokamak scrape-off layer

Ivo Furno, Paolo Ricci, Federico David Halpern

The turbulence observed in the scrape-off-layer of a tokamak is often characterized by intermittent events of bursty nature, a feature which raises concerns about the prediction of heat loads on the physical boundaries of the device. It appears thus necess ...

2014

A bottom-up stochastic model to predict building occupants' time-dependent activities

Jean-Louis Scartezzini, Darren Robinson, Frédéric Haldi, Urs Wilke

A bottom-up modelling approach together with a set of calibration methodologies is presented to predict residential building occupants' time-dependent activities, for use in dynamic building simulations. The stochastic model to predict activity chains is c ...

Elsevier2013

Role of sampling in evaluating classical time autocorrelation functions

Jiri Vanicek, Tomas Zimmermann

We analyze how the choice of the sampling weight affects efficiency of the Monte Carlo evaluation of classical time autocorrelation functions. Assuming uncorrelated sampling or sampling with constant correlation length, we propose a sampling weight for whi ...

American Institute of Physics2013

Statistics of bedload transport over steep slopes: Separation of time scales and collective motion

Christophe Ancey, Joris Heyman, François Mettra, Hongbo Ma

Steep slope streams show large fluctuations of sediment discharge across several time scales. These fluctuations may be inherent to the internal dynamics of the sediment transport process. A probabilistic framework thus seems appropriate to analyze such a ...

American Geophysical Union2013

Methodology to account for uncertainties and tradeoffs in pharmaceutical environmental hazard assessment

David Andrew Barry, Luca Rossi, Sylvain Coutu

Many pharmaceutical products find their way into receiving waters, giving rise to concerns regarding their environmental impact. A procedure was proposed that enables ranking of the hazard to aquatic species and human health due to such products. In the pr ...

Elsevier2012

Probability density tomography of microcavity polaritons confined in cylindrical traps of various sizes

Benoît Marie Joseph Deveaud, Gaël Nardin, François Morier-Genoud, Barbara Pietka, Taofiq Paraïso, Ounsi El Daïf, Roland Cerna

We present the optical tomography of the probability density of microcavity polaritons, confined in three dimensions by cylindrical traps of various sizes. Collecting the photoluminescence emitted by the quasimodes under continuous nonresonant laser excita ...

Elsevier2010

Impact of stochastic fluctuations in storage-discharge relations on streamflow distributions

Andrea Rinaldo, Enrico Bertuzzo, Samir Suweis, Gianluca Botter

In this paper we extend recent theoretical results on the structure of the probability density function of streamflows forced by stochastic rainfall sequences. Our extension is aimed at incorporating an additional, independent source of variability assumed ...

2010

Metropolis-Hastings sampling of alternatives for route choice models

Michel Bierlaire, Gunnar Flötteröd

Sampling of alternatives has been shown to be an operational technique for the estimation of route choice models. In order to apply it, the sampling protocol generating paths must be such that the sampling probability is known, in order to correct for the ...

2010

Stable computation of probability densities for metastable dynamical systems

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MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Adaptive polynomial approximation by means of random discrete least squares

Statistical analysis and modeling of intermittent transport events in the tokamak scrape-off layer

A bottom-up stochastic model to predict building occupants' time-dependent activities

Role of sampling in evaluating classical time autocorrelation functions

Statistics of bedload transport over steep slopes: Separation of time scales and collective motion

Methodology to account for uncertainties and tradeoffs in pharmaceutical environmental hazard assessment

Probability density tomography of microcavity polaritons confined in cylindrical traps of various sizes

Impact of stochastic fluctuations in storage-discharge relations on streamflow distributions

Metropolis-Hastings sampling of alternatives for route choice models

Statistics of bedload transport over steep slopes: Separation of time scales and collective motion

A bottom-up stochastic model to predict building occupants' time-dependent activities

Methodology to account for uncertainties and tradeoffs in pharmaceutical environmental hazard assessment

Metropolis-Hastings sampling of alternatives for route choice models

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Probability density tomography of microcavity polaritons confined in cylindrical traps of various sizes

Adaptive polynomial approximation by means of random discrete least squares

Statistical analysis and modeling of intermittent transport events in the tokamak scrape-off layer

Impact of stochastic fluctuations in storage-discharge relations on streamflow distributions

Role of sampling in evaluating classical time autocorrelation functions