Eric de Bodt

发表

Full-Stock-Payment Marginalization in Merger and Acquisition Transactions

Eric de Bodt, Jean-Gabriel Cousin, Richard Roll, 2017, Manag. Sci..

Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm

Michel Verleysen, Marie Cottrell, Eric de Bodt, 1999, ESANN.

Horizontal, downstream and upstream effects of m&a operations in the car industry

Eric de Bodt, Nihat Aktas, Arlène Derbaix, 2004 .

Horizontal, downstream and upstream effects of merger & acquisition operations in the car industry

Eric de Bodt, Nihat Aktas, Arlène Derbaix, 2003 .

Analyzing shocks on the interest rate structure with Kohonen map

Philippe Grégoire, Marie Cottrell, Eric de Bodt, 1996, IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr).

2002 Special Issue Statistical tools to assess the reliability of self-organizing maps

Michel Verleysen, Marie Cottrell, Eric de Bodt, 2002 .

Forecasting time-series by Kohonen classification

Michel Verleysen, Amaury Lendasse, Philippe Grégoire, 1998, ESANN.

Are they really neighbors? A statistical analysis of the SOM algorithm output

Michel Verleysen, Marie Cottrell, Eric de Bodt, 2001, AISTATS.

Do acquisitions and internal growth impact differen tially firm performance

Eric de Bodt, Nihat Aktas, Vassilis Samaras, 2008 .

Book review

Eric de Bodt, 2006, Neural Processing Letters.

Input data reduction for the prediction of financial time series

Michel Verleysen, Amaury Lendasse, John Aldo Lee, 2001, ESANN.

A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: The Kohonen Classification

Philippe Grégoire, Marie Cottrell, Eric de Bodt, 1997, ICANN.

Some known facts about financial data

Marie Cottrell, Eric de Bodt, Joseph Rynkiewicz, 2001, ESANN.

A Kohonen map representation to avoid misleading interpretations

Marie Cottrell, Eric de Bodt, M. Cottrell, 1996, The European Symposium on Artificial Neural Networks.

Kohonen maps versus vector quantization for data analysis

Michel Verleysen, Marie Cottrell, Eric de Bodt, 1997, ESANN.

On the Use of Self-Organizing Maps to Accelerate Vector Quantization pdf

Michel Verleysen, Marie Cottrell, Patrick Letrémy, 2002, Neurocomputing.

Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity

Marie Cottrell, Eric de Bodt, M. Cottrell, 2000, ESANN.

Approximation by radial basis function networks

Michel Verleysen, John Aldo Lee, Vincent Wertz, 2003 .

Statistical tools to assess the reliability of self-organizing maps

Michel Verleysen, Marie Cottrell, Eric de Bodt, 2002, Neural Networks.

Understanding the leasing decision with the help of a Kohonen map. An empirical study of the Belgian market

Marie Cottrell, Eric de Bodt, Emmanuel-Frédéric Henrion, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Dimension reduction of technical indicators for the prediction of financial time series - Application to the BEL20 Market Index

Michel Verleysen, John Aldo Lee, Vincent Wertz, 2001 .

Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection

Michel Verleysen, Amaury Lendasse, Eric de Bodt, 1999, IWANN.

Hubris, Learning, and M&A Decisions

Eric de Bodt, Richard Roll, Nihat Aktas, 2005 .

Approximation by Radial-Basis Function networks - Application to option pricing

Michel Verleysen, Amaury Lendasse, Vincent Wertz, 2003 .

The PIN anomaly around M&A announcements

Eric de Bodt, Nihat Aktas, Hervé Van Oppens, 2007 .