Marco E. G. V. Cattaneo

According to our database1, Marco E. G. V. Cattaneo authored at least 20 papers between 2003 and 2017.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
Different distance measures for fuzzy linear regression with Monte Carlo methods.
Soft Comput., 2017

On the testability of coarsening assumptions: A hypothesis test for subgroup independence.
Int. J. Approx. Reason., 2017

The likelihood interpretation as the foundation of fuzzy set theory.
Int. J. Approx. Reason., 2017

Empirical Interpretation of Imprecise Probabilities.
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.
TIIS, 2016

On maxitive integration.
Fuzzy Sets Syst., 2016

Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence.
Proceedings of the Soft Methods for Data Science, 2016

The Likelihood Interpretation of Fuzzy Data.
Proceedings of the Soft Methods for Data Science, 2016

Conditional Probability Estimation.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015
Resource-Efficient Fusion with Pre-Compensated Transmissions for Cooperative Spectrum Sensing.
Sensors, 2015

2014
A Continuous Updating Rule for Imprecise Probabilities.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Maxitive Integral of Real-Valued Functions.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

2012
Likelihood-based Imprecise Regression.
Int. J. Approx. Reason., 2012

An Exact Algorithm for Likelihood-Based Imprecise Regression in the Case of Simple Linear Regression with Interval Data.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Likelihood-Based Robust Classification with Bayesian Networks.
Proceedings of the Advances in Computational Intelligence, 2012

2011
Foundations of Probability.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Belief functions combination without the assumption of independence of the information sources.
Int. J. Approx. Reason., 2011

2008
Fuzzy Probabilities Based on the Likelihood Function.
Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008

2005
Likelihood-Based Statistical Decisions.
Proceedings of the ISIPTA '05, 2005

2003
Combining Belief Functions Issued from Dependent Sources.
Proceedings of the ISIPTA '03, 2003


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