Estraviz López, D., and O. Mateus The history of the Quaternary vertebrate paleontology in Portugal. XVI Annual Meeting of the European Association of Vertebrate Palaeontologists, .Abstract Book. Caparica, Portugal June 26th-July 1st, 2018: Abstract book of the XVI Annual Meeting of the European Association of Vertebrate Palaeontologists, Caparica, Portugal June 26th-July 1st, 2018., 2018.
Abstract
Cain, A. J., and A. Malheiro. "
Identities in plactic, hypoplactic, sylvester, Baxter, and related monoids."
The Electronic Journal of Combinatorics. 25.3 (2018): P3.30 (19 pages).
AbstractThis paper considers whether non-trivial identities are satisfied by certain ‘plactic-like’ monoids that, like the plactic monoid, are closely connected with combinatorics. New results show that the hypoplactic, sylvester, Baxter, stalactic, and taiga monoids satisfy identities. The existing state of knowledge is discussed for the plactic and Bell monoids.
Cavadas, Bento, Nelson Mestrinho, and Octávio Mateus Jurassic race: a collaborative pedagogical activity between paleontologists, mathematics and science education teachers. XVI Annual Meeting of the European Association of Vertebrate Palaeontologists, .Abstract Book. Caparica, Portugal June 26th-July 1st, 2018: Abstract book of the XVI Annual Meeting of the European Association of Vertebrate Palaeontologists, Caparica, Portugal June 26th-July 1st, 2018., 2018.
Abstract
Mota, Pedro, and Manuel L. Esquível. "
Pseudo Maximum Likelihood and Moments Estimators for Some Ergodic Diffusions."
Contributions to Statistics. Springer International Publishing, 2018. 335-343.
AbstractWhen (Xt)t≥0 is an ergodic process, the density function of Xt converges to some invariant density as t →∞. We will compute and study some asymptotic properties of pseudo moments estimators obtained from this invariant density, for a specific class of ergodic processes. In this class of processes we can find the Cox-Ingersoll & Ross or Dixit & Pindyck processes, among others. A comparative study of the proposed estimators with the usual estimators obtained from discrete approximations of the likelihood function will be carried out.