Publications related to Law of large numbers

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

Weighted least squares polynomial approximation uses random samples to determine projections of functions onto spaces of polynomials. It has been shown that, using an optimal distribution of sample locations, the number of samples required to achieve quasi ...

MATHICSE2017

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Mohit Kumar Goel

Estimation of intracranial sources, using inverse solutions methods, has been proposed as a mean to improve performance in non-invasive brain-computer interfaces. These methods estimate the activity of a large number of neural sources from a smaller number ...

2017

Multilevel weighted least squares polynomial approximation

Fabio Nobile

Weighted least squares polynomial approximation uses random samples to determine projections of functions onto spaces of polynomials. It has been shown that, using an optimal distribution of sample locations, the number of samples required to achieve quasi ...

2017

Dynamic impedance spectroscopy using dynamic multi-frequency analysis: A theoretical and experimental investigation

Alberto Battistel

Dynamic impedance spectroscopy is a powerful tool to investigate the temporal development of reaction kinetics in electrochemical systems, where the reactive species may undergo irreversible changes during the measurement. In this work we redefined dynamic ...

Elsevier2017

Frank-Wolfe Works for Non-Lipschitz Continuous Gradient Objectives: Scalable Poisson Phase Retrieval

Volkan Cevher, Quoc Tran Dinh, Alp Yurtsever, Yen-Huan Li, Ya-Ping Hsieh, Marwa El Halabi, Gergely Odor

We study a phase retrieval problem in the Poisson noise model. Motivated by the PhaseLift approach, we approximate the maximum-likelihood estimator by solving a convex program with a nuclear norm constraint. While the Frank-Wolfe algorithm, together with t ...

Ieee2016

A CMOS Amperometric System for Multi-Neurotransmitter Detection

Giovanni De Micheli, Sandro Carrara

In vivo multi-target and selective concentration monitoring of neurotransmitters can help to unravel the brain chemical complex signaling interplay. This paper presents a dedicated integrated potentiostat transducer circuit and its selective electrode inte ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Partial Recovery Bounds for the Sparse Stochastic Block Model

Volkan Cevher, Jonathan Mark Scarlett

In this paper, we study the information-theoretic limits of community detection in the symmetric two-community stochastic block model, with intra-community and inter-community edge probabilities

\frac{a}{n}

and

\frac{b}{n}

respectively. We consider the ...

Ieee2016

Significance testing testate amoeba water table reconstructions

Edward Mitchell, Vincent Eric Jules Jassey, Mariusz Lamentowicz

Transfer functions are valuable tools in palaeoecology, but their output may not always be meaningful. A recently-developed statistical test ('randomTF') offers the potential to distinguish among reconstructions which are more likely to be useful, and thos ...

Pergamon-Elsevier Science Ltd2016

Sample and population exponents of generalized Taylor's law

Andrea Rinaldo, Andrea Giometto, Amos Maritan

Taylor's law (TL) states that the variance V of a nonnegative random variable is a power function of its mean M; i.e., V = aM(b). TL has been verified extensively in ecology, where it applies to population abundance, physics, and other natural sciences. It ...

Natl Acad Sciences2015

A dynamic discrete-continuous choice model for forward-looking agents owning one or more vehicles

Matthieu Marie Cochon de Lapparent

During the last 40 years, a large number of studies have analyzed car holding and use behavior. Most of these ignore the dynamics of household and driver needs that very likely drive such decisions. Our work builds up on a disaggregate (compensatory) appro ...

2015

Law of large numbers

Graph Chatbot

Chat with Graph Search

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification

Multilevel weighted least squares polynomial approximation

Dynamic impedance spectroscopy using dynamic multi-frequency analysis: A theoretical and experimental investigation

Frank-Wolfe Works for Non-Lipschitz Continuous Gradient Objectives: Scalable Poisson Phase Retrieval

A CMOS Amperometric System for Multi-Neurotransmitter Detection

Partial Recovery Bounds for the Sparse Stochastic Block Model

Significance testing testate amoeba water table reconstructions

Sample and population exponents of generalized Taylor's law

A dynamic discrete-continuous choice model for forward-looking agents owning one or more vehicles

Sample and population exponents of generalized Taylor's law

Multilevel weighted least squares polynomial approximation

A CMOS Amperometric System for Multi-Neurotransmitter Detection

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

Dynamic impedance spectroscopy using dynamic multi-frequency analysis: A theoretical and experimental investigation

Partial Recovery Bounds for the Sparse Stochastic Block Model

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification

Significance testing testate amoeba water table reconstructions

A dynamic discrete-continuous choice model for forward-looking agents owning one or more vehicles

Frank-Wolfe Works for Non-Lipschitz Continuous Gradient Objectives: Scalable Poisson Phase Retrieval