Concept

Influential observation

Publications associées (27)

Cutting Down the Energy Consumed by Domestic Robots: Insights from Robotic Vacuum Cleaners

Francesco Mondada, Philippe Rétornaz, Florian Christopher Vaussard

The market of domestic service robots, and especially vacuum cleaners, has kept growing during the past decade. According to the International Federation of Robotics, more than 1 million units were sold worldwide in 2010. Currently, there is no in-depth an ...

Springer Berlin Heidelberg2012

Robust Value at Risk Prediction

Loriano Mancini, Fabio Trojani

This paper proposes a robust semiparametric bootstrap method to estimate predictive distributions of GARCH-type models. The method is based on a robust estimation of parametric GARCH models and a robustified resampling scheme for GARCH residuals that contr ...

Oxford University Press2011

Information Processing and Structure of Dynamical Networks

Ali Ajdari Rad

Networks are everywhere and we are confronted with many networks in our daily life. Networks such as Internet, World Wide Web, social, biological and economical networks have been subject to extensive studies in the last decade. The volume of publications ...

EPFL2011

Asymptotic Inference For Partially Observed Branching Processes

Victor Panaretos

We consider the problem of estimation in a partially observed discrete-time Galton-Watson branching process, focusing on the first two moments of the offspring distribution. Our study is motivated by modelling the counts of new cases at the onset of a stoc ...

Applied Probability Trust2011

Asymptotic inference for partially observed branching processes

Victor Panaretos

Applied Probability Trust2011

Essays on Equilibrium Asset Pricing

Rodolfo Javier Prieto Katunaric

This thesis consists of three chapters. The first chapter endogenizes technological change by introducing a stylized innovation process driven by a R&D–dependent Poisson process in a Cox, Ingersoll and Ross (1985) production economy. The model reproduces s ...

EPFL2010

General state-space models

Thomas Gsponer

In time series analysis state-space models provide a wide and flexible class. The basic idea is to describe an unobservable phenomenon of interest on the basis of noisy data. The first constituent of such a model is the so-called state equation, which char ...

EPFL2004

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