Marco E. G. V. Cattaneo

发表

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, 2012, SMPS.

Improved decision for a resource-efficient fusion scheme in cooperative spectrum sensing

Guilherme Pedro Aquino, Dayan Adionel Guimaraes, Marco E. G. V. Cattaneo, 2015, 2015 International Workshop on Telecommunications (IWT).

The likelihood interpretation as the foundation of fuzzy set theory

Marco E. G. V. Cattaneo, M. Cattaneo, 2017, Int. J. Approx. Reason..

Empirical Interpretation of Imprecise Probabilities

Marco E. G. V. Cattaneo, M. Cattaneo, 2017, ISIPTA.

Likelihood-Based Statistical Decisions

Marco E. G. V. Cattaneo, M. Cattaneo, 2005, ISIPTA.

Towards a reliable categorical regression analysis for non-randomly coarsened observations: An analysis with German labour market data

Thomas Augustin, Christian Heumann, Marco E. G. V. Cattaneo, 2017 .

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

Marco E. G. V. Cattaneo, M. Cattaneo, 2011, Int. J. Approx. Reason..

Regression with Imprecise Data: A Robust Approach

Andrea Wiencierz, Marco E. G. V. Cattaneo, M. Cattaneo, 2011 .

On maxitive integration

Marco E. G. V. Cattaneo, M. Cattaneo, 2016, Fuzzy Sets Syst..

The Likelihood Interpretation of Fuzzy Data

Marco E. G. V. Cattaneo, M. Cattaneo, 2016, SMPS.

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

Andrea Wiencierz, Marco E. G. V. Cattaneo, M. Cattaneo, 2014, Comput. Stat..

Likelihood-based Imprecise Regression

Andrea Wiencierz, Marco E. G. V. Cattaneo, 2012, Int. J. Approx. Reason..

Maxitive Integral of Real-Valued Functions

Marco E. G. V. Cattaneo, M. Cattaneo, 2014, IPMU.

Probabilistic-possibilistic belief networks

Marco E. G. V. Cattaneo, M. Cattaneo, 2008 .

Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence

Thomas Augustin, Marco E. G. V. Cattaneo, Julia Plass, 2016, SMPS.

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

Dayan A. Guimarães, Guilherme Pedro Aquino, Marco E. G. V. Cattaneo, 2016, KSII Trans. Internet Inf. Syst..

Conditional Probability Estimation

Marco E. G. V. Cattaneo, M. Cattaneo, 2016, Probabilistic Graphical Models.

Statistical Modelling under Epistemic Data Imprecision: Some Results on Estimating Multinomial Distributions and Logistic Regression for Coarse Categorical Data

Thomas Augustin, Marco E. G. V. Cattaneo, Julia Plass, 2015 .

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

Dayan A. Guimarães, Guilherme Pedro Aquino, Marco E. G. V. Cattaneo, 2015, Sensors.

Fuzzy Probabilities Based on the Likelihood Function

Marco E. G. V. Cattaneo, 2008, SMPS.

Likelihood-Based Robust Classification with Bayesian Networks

Giorgio Corani, Alessandro Antonucci, Marco E. G. V. Cattaneo, 2012, IPMU.

A Continuous Updating Rule for Imprecise Probabilities

Marco E. G. V. Cattaneo, M. Cattaneo, 2014, IPMU.

Combining Belief Functions Issued from Dependent Sources

Marco E. G. V. Cattaneo, 2003, ISIPTA.

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

Thomas Augustin, Marco E. G. V. Cattaneo, Julia Plass, 2017, Int. J. Approx. Reason..

Different distance measures for fuzzy linear regression with Monte Carlo methods

Marco E. G. V. Cattaneo, Duygu Içen, 2017, Soft Comput..

Foundations of Probability

Thomas Augustin, Marco E. G. V. Cattaneo, Thomas Augustin, 2011, International Encyclopedia of Statistical Science.

On the Robustness of Imprecise Probability Methods

Marco E. G. V. Cattaneo, M. Cattaneo, 2013 .

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

Thomas Augustin, Christian Heumann, Marco E. G. V. Cattaneo, 2019, International Statistical Review.

Likelihood-based inference for probabilistic graphical models: Some preliminary results

Marco E. G. V. Cattaneo, 2010 .

A hierarchical model based on the likelihood function

Marco E. G. V. Cattaneo, M. Cattaneo, 2008 .

A generalization of credal networks

Marco E. G. V. Cattaneo, 2009 .

On the Validity of Minimin and Minimax Methods for Support Vector Regression with Interval Data

Andrea Wiencierz, Marco E. G. V. Cattaneo, 2015 .

Robust regression with imprecise data

Andrea Wiencierz, Marco E. G. V. Cattaneo, M. Cattaneo, 2011 .

Likelihood decision functions

Marco E. G. V. Cattaneo, M. Cattaneo, 2013 .