Marco E. G. V. Cattaneo

According to our database, Marco E. G. V. Cattaneo authored at least 21 papers between 2003 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2017

Different distance measures for fuzzy linear regression with Monte Carlo methods.

Duygu Içen, Marco E. G. V. Cattaneo

Soft Comput., 2017

On the testability of coarsening assumptions: A hypothesis test for subgroup independence.

Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin

Int. J. Approx. Reason., 2017

The likelihood interpretation as the foundation of fuzzy set theory.

Marco E. G. V. Cattaneo

Int. J. Approx. Reason., 2017

Empirical Interpretation of Imprecise Probabilities.

Marco E. G. V. Cattaneo

Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

2016

Energy efficient scheme based on simultaneous transmission of the local decisions in cooperative spectrum sensing.

Guilherme Pedro Aquino, Dayan Adionel Guimarães, Marco E. G. V. Cattaneo

KSII Trans. Internet Inf. Syst., 2016

On maxitive integration.

Marco E. G. V. Cattaneo

Fuzzy Sets Syst., 2016

Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence.

Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin

Proceedings of the Soft Methods for Data Science, 2016

The Likelihood Interpretation of Fuzzy Data.

Marco E. G. V. Cattaneo

Proceedings of the Soft Methods for Data Science, 2016

Conditional Probability Estimation.

Marco E. G. V. Cattaneo

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015

Resource-Efficient Fusion with Pre-Compensated Transmissions for Cooperative Spectrum Sensing.

Dayan Adionel Guimarães, Guilherme Pedro Aquino, Marco E. G. V. Cattaneo

Sensors, 2015

2014

On the implementation of LIR: the case of simple linear regression with interval data.

Marco E. G. V. Cattaneo, Andrea Wiencierz

Comput. Stat., 2014

A Continuous Updating Rule for Imprecise Probabilities.

Marco E. G. V. Cattaneo

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Maxitive Integral of Real-Valued Functions.

Marco E. G. V. Cattaneo

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

2012

Likelihood-based Imprecise Regression.

Marco E. G. V. Cattaneo, Andrea Wiencierz

Int. J. Approx. Reason., 2012

An Exact Algorithm for Likelihood-Based Imprecise Regression in the Case of Simple Linear Regression with Interval Data.

Andrea Wiencierz, Marco E. G. V. Cattaneo

Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Likelihood-Based Robust Classification with Bayesian Networks.

Alessandro Antonucci, Marco E. G. V. Cattaneo, Giorgio Corani

Proceedings of the Advances in Computational Intelligence, 2012

2011

Foundations of Probability.

Thomas Augustin, Marco E. G. V. Cattaneo

Proceedings of the International Encyclopedia of Statistical Science, 2011

Belief functions combination without the assumption of independence of the information sources.

Marco E. G. V. Cattaneo

Int. J. Approx. Reason., 2011

2008

Fuzzy Probabilities Based on the Likelihood Function.

Marco E. G. V. Cattaneo

Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008

2005

Likelihood-Based Statistical Decisions.

Marco E. G. V. Cattaneo

Proceedings of the ISIPTA '05, 2005

2003

Combining Belief Functions Issued from Dependent Sources.

Marco E. G. V. Cattaneo

Proceedings of the ISIPTA '03, 2003