Published or Accepted Papers

File Properly coloured copies and rainbow copies of large graphs with small maximum degree
Böttcher, J., Kohayakawa Y., and Procacci, A. Properly coloured copies and rainbow copies of large graphs with small maximum degree, Random Structures Algorithms 40 (2012), no. 4, 425--436.
File Partially Observed Markov Random Fields Are Variable Neighborhood Random Fields
Cassandro, M.; Galves, A.; Löcherbach, E. . Partially Observed Markov Random Fields Are Variable Neighborhood Random Fields. Journal of Statistical Physics, v. 147, p. 795-807, 2012.
File Chains of infinite order, chains with memory of variable length, and maps of the interval
Collet, P.; Galves, A. Chains of infinite order, chains with memory of variable length, and maps of the interval.
File Optimal mean variance control for discrete-time linear systems with Markovian jumps and multiplicative noises
Costa, O. L.V. ; Oliveira, Alexandre de, Optimal mean variance control for discrete-time linear systems with Markovian jumps and multiplicative noises. Automatica, v. 48, p. 304-315, 2012.
File Singularly Perturbed Discounted Markov Control Processes in a General State Space
Costa, O. L. V. ; Dufour, François, Singularly Perturbed Discounted Markov Control Processes in a General State Space. SIAM Journal on Control and Optimization, v. 50, p. 720-747, 2012.
File Arbitrage-Free Conditions and Hedging Strategies for Markets with Penalty Costs on Short Positions
Costa, O. L. V. ; Queiroz Filho, E. V.,Arbitrage-Free Conditions and Hedging Strategies for Markets with Penalty Costs on Short Positions. Mathematical Problems in Engineering, v. 2012, p. 1-20, 2012.
File On the Filtering Problem for Continuous-Time Markov Jump Linear Systems with no Observation of the Markov Chain
Costa, O. L. V. ; Fragoso, Marcelo Dutra ; Todorov, Marcos Garcia, On the Filtering Problem for Continuous-Time Markov Jump Linear Systems with no Observation of the Markov Chain. European Journal of Control, v. 17, p. 339-354, 2011.
File Regular g-measures are not always Gibbsian
Fernández, R. ; Gallo, S. ; Maillard, G. Regular g-measures are not always Gibbsian. Electronic Communications in Probability, v. 16, p. 732-740, 2011.
File The phonology of rhythm from Classical to Modern Portuguese
Frota, S. ; Galves, C. M. C. ; Vigario, M. ; Gonzalez-Lopez, V. ; Abaurre, M. B. M. . The phonology of rhythm from Classical to Modern Portuguese. Journal of Historical Linguistics, 2012.
File Context tree selection and linguistic rhythm retrieval from written texts
Galves, A.; Galves, Charlotte ; García, Jesús E. ; Garcia, Nancy L. ; Leonardi, F. . Context tree selection and linguistic rhythm retrieval from written texts. The Annals of Applied Statistics, v. 6, p. 186-209, 2012.
File Kalikow-type decomposition for multicolor infinite range particle systems
Galves, A.; Garcia, N. L. ; Löcherbach, E. ; Orlandi, E. . Kalikow-type decomposition for multicolor infinite range particle systems. The Annals of Applied Probability, no prelo, 2012.
File Joint estimation of intersecting context tree models
Galves, A.; Garivier, A.; Gassiat, E.. Joint estimation of intersecting context tree models. Scandinavian Journal of Statistics, no prelo, 2012.
File Context tree selection: a unifying view
Garivier, A.; Leonardi, F. Context tree selection: a unifying view. ArXiv:1011.2424v3. Stochastic processes and their applications 121, pp. 2488-2506, 2011.
File Hypergraphs with many Kneser colorings
Hoppen, C., Kohayakawa, Y. and Lefmann, H. Hypergraphs with many Kneser colorings, European J. Combin. 33 (2012), no. 5, 816--843.
File Edge colorings of graphs avoiding monochromatic matchings of a given size
Hoppen, C., Kohayakawa, Y. and Lefmann, H. Edge colorings of graphs avoiding monochromatic matchings of a given size, Combin. Probab. Comput. 21 (2012), no. 1--2, 203--218, special issue dedicated to R. H. Schelp.
File Upper bounds on probability thresholds for asymmetric Ramsey properties
Kohayakawa, Y., Schacht, M. and Spöhel, R. Upper bounds on probability thresholds for asymmetric Ramsey properties, Random Structures Algorithms, to appear.
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