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Influential observation

Publications associées (27)

Identification of typical district configurations: A two-step global sensitivity analysis framework

François Maréchal, Jonas Schnidrig, Cédric Terrier

The recent geopolitical conflicts in Europe have underscored the vulnerability of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy systems ensuring sustainable energy supply in the future, the ...

Pergamon-Elsevier Science Ltd2024

Machine Learning for Modeling Stock Returns

Teng Andrea Xu

Throughout history, the pace of knowledge and information sharing has evolved into an unthinkable speed and media. At the end of the XVII century, in Europe, the ideas that would shape the "Age of Enlightenment" were slowly being developed in coffeehouses, ...

EPFL2024

Identification of typical district configurations: A two-step global sensitivity analysis framework

François Maréchal, Jonas Schnidrig, Cédric Terrier

The recent geopolitical conflicts in Europe highlighted the sensibility of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy system configurations to ensure energy supply stability, it is necess ...

2023

Impact of renewable energy hubs configurations on the national infrastructure

This research presents a framework to identify and integrate typical districts in a national energy system to assess the impact of decentralized energy hub configurations. The framework includes a two-step global sensitivity analysis to determine the model ...

2023

Application of levelized infrastructure-connected regionalisation in energy systems modelling

A proper assessment of technologies’ impact on energy consumption and GHG emissions is essential for designing an effective energy transition. In this regard, the modeling of an energy system is a great resource to identify valuable technologies. This pape ...

2022

Essays in Financial Economics

Kevin Marc Rageth

This thesis consists of two chapters that study separate subjects in the area of corporate finance.The first chapter, titled âEconomic Gains in Bank Mergers and Acquisitions â Evidence from Targetsâ, investigates economic gains in bank mergers and ac ...

EPFL2022

Conditional Synthetic Financial Time Series with Generative Adversarial Networks

The creation of high fidelity synthetic data has long been an important goal in machine learning, particularly in fields like finance where the lack of available training and test data make it impossible to utilize many of the deep learning techniques whic ...

2022

Graph Learning with Partial Observations: Role of Degree Concentration

Ali H. Sayed, Augusto José Rabelo Almeida Santos

In this work we consider the problem of learning an Erdos-Renyi graph over a diffusion network when: i) data from only a limited subset of nodes are available (partial observation); ii) and the inferential goal is to discover the graph of interconnections ...

IEEE2019

Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization

Daniel Kuhn, Napat Rujeerapaiboon, Kilian Schindler, Wolfram Wiesemann

Plain vanilla K-means clustering is prone to produce unbalanced clusters and suffers from outlier sensitivity. To mitigate both shortcomings, we formulate a joint outlier-detection and clustering problem, which assigns a prescribed number of datapoints to ...

2019

Tracking and Stress-Testing U.S. Household Leverage

Andreas Fuster

Housing equity is an important component of borrowers’ wealth and a critical determinant of their vulnerability to shocks. In this article, the authors use a unique, newly created data set to analyze the evolution of household leverage—defined here as the ...

2018

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