Publications related to An Optimal Strategy for Cooperative Spectrum Sensing in Cognitive Radio Networks

Density Estimation In Rkhs With Application To Korobov Spaces In High Dimensions

A kernel method for estimating a probability density function from an independent and identically distributed sample drawn from such density is presented. Our estimator is a linear combination of kernel functions, the coefficients of which are determined b ...

SIAM PUBLICATIONS2023

A birth-death-migration model for life in astrophysical environments

Claudio Grimaldi

To assess the number of life-bearing worlds in astrophysical environments, it is necessary to take the intertwined processes of abiogenesis (birth), extinction (death), and transfer of life (migration) into account. We construct a mathematical model that i ...

OXFORD UNIV PRESS2021

MATHICSE Technical Report : Density estimation in RKHS with application to Korobov spaces in high dimensions

Fabio Nobile, Yoshihito Kazashi

A kernel method for estimating a probability density function (pdf) from an i.i.d. sample drawn from such density is presented. Our estimator is a linear combination of kernel functions, the coefficients of which are determined by a linear equation. An err ...

MATHICSE2021

MATHICSE Technical Report: Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval

Fabio Nobile, Yoshihito Kazashi

An existence result is presented for the dynamical low rank (DLR) approximation for random semi-linear evolutionary equations. The DLR solution approximates the true solution at each time instant by a linear combination of products of deterministic and sto ...

MATHICSE2020

Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval

Fabio Nobile, Yoshihito Kazashi

An existence result is presented for the dynamical low rank (DLR) approximation for random semi-linear evolutionary equations. The DLR solution approximates the true solution at each time instant by a linear combination of products of deterministic and sto ...

2020

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

A Joint Typicality Approach to Compute–Forward

Michael Christoph Gastpar, Sung Hoon Lim, Adriano Pastore, Chen Feng

This paper presents a joint typicality framework for encoding and decoding nested linear codes in multi-user networks. This framework provides a new perspective on compute–forward within the context of discrete memoryless networks. In particular, it establ ...

2018

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

Bed load transport over a broad range of timescales: Determination of three regimes of fluctuations

Christophe Ancey, Joris Heyman, François Mettra, Hongbo Ma

This paper describes the relationship between the statistics of bed load transport flux and the timescale over which it is sampled. A stochastic formulation is developed for the probability distribution function of bed load transport flux, based on the Anc ...

Wiley-Blackwell2014

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

An Optimal Strategy for Cooperative Spectrum Sensing in Cognitive Radio Networks

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Density Estimation In Rkhs With Application To Korobov Spaces In High Dimensions

A birth-death-migration model for life in astrophysical environments

MATHICSE Technical Report : Density estimation in RKHS with application to Korobov spaces in high dimensions

MATHICSE Technical Report: Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval

Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

A Joint Typicality Approach to Compute–Forward

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

Bed load transport over a broad range of timescales: Determination of three regimes of fluctuations

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

Density Estimation In Rkhs With Application To Korobov Spaces In High Dimensions

MATHICSE Technical Report : Density estimation in RKHS with application to Korobov spaces in high dimensions

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

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

A Joint Typicality Approach to Compute–Forward

A birth-death-migration model for life in astrophysical environments

Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval

Bed load transport over a broad range of timescales: Determination of three regimes of fluctuations

MATHICSE Technical Report: Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval

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