% ======
% Papers
% ======

@article{Alamino02,
   author = {R[] C[] Alamino and C[] P[] C[] Prado},
    title = {Some considerations on the Bouchaud-Cates-Ravi-Edwards model for granular flow},
  journal = {Physica A: Statistical Mechanics and its Applications},
   eprint = {arXiv:cond-mat/0108209},
     year = {2002},
    month = {may},
   volume = {308},
    pages = {148-160},
}

@article{deOliveira07,
   author = {E[] A[] de~Oliveira and R[] C[] Alamino},
    title = {Performance of the Bayesian Online Algorithm for the Perceptron},
  journal = {IEEE Transactions on Neural Networks},
     year = {2007},
    month = {may},
   volume = {18},
    pages = {902-905},
}

@article{Alamino07,
   author = {R[] C[] Alamino and D[] Saad},
    title = {Statistical Mechanics Analysis of LDPC Coding in MIMO Gaussian Channels},
  journal = {J. Phys. A: Math. Theor.},
   eprint = {arXiv:0705.1644v1 [cond-mat.stat-mech]},
     year = {2007},
    month = {september},
   volume = {40},
    pages = {12259-12279},
}

@article{Alamino07b,
   author = {R[] C[] Alamino and D[] Saad},
    title = {Typical Behavior of Relays in Communication Channels},
  journal = {Physical Review E},
   eprint = {arXiv:0708.0364v1 [cond-mat.stat-mech]},
     year = {2007},
   volume = {76},
    pages = {061124},
}

@article{Alamino08,
   author = {R[] C[] Alamino and N[] Caticha},
    title = {Bayesian Online Algorithms for Learning in Discrete Hidden Markov Models},
  journal = {Discrete and Continuous Dynamical Systems - Series B},
   eprint = {arXiv:0708.2377v1 [stat.ML]},
     year = {2008},
   volume = {9},
    pages = {1-10},
}

@article{Alamino08b,
   author = {R[] C[] Alamino and D[] Saad},
    title = {Typical kernel size and number of sparse random matrices over Galois fields: A statistical physics approach},
  journal = {Physical Review E},
   eprint = {arXiv:0803.2136v1 [cond-mat.other]},
     year = {2008},
   volume = {77},
    pages = {061123},
}

% ===========
% Proceedings
% ===========

@inproceedings{Alamino06,
   author = {R[] Alamino and N[] Caticha},
    title = {Online Learning in Discrete Hidden Markov Models},
booktitle = {Bayesian Inference and Maximum Entropy Methods In Science and Engineering},
     year = {2006},
   series = {American Institute of Physics Conference Series},
   volume = {872},
    month = {nov},
    pages = {187-194},
      doi = {10.1063/1.2423274},
}