I am Assistant Professor at the Department of Mathematics of the Universidad Técnica Federico Santa María, Chile. I got a D.Sc. in Statistics from the University of São Paulo, Brazil.

My research interests include: longitudinal data under non-normal distributions (mixed-effects models, GEE) and diagnostic methods as well as the computational implementation of such techniques.

Find me in databases:
Google Scholar  |  Orcid ID  |  ResearchGate

Contact info

Book in Preparation

Vallejos, R., Osorio, F., Bevilacqua, M. (2018).
Spatial Relationships Between Two Georeferenced Variables: with Applications in R.
To appear in Springer.  Number of pages: ≈ 230.

This book is about how to assess the correlation between two spatial processes. The book describes several different scenarios in which the correlation between two or more sequences is computed. This includes, for instance, useful material for people interested in spatial statistics, time series and image analysis.

Publications

  1. Acosta, J., Osorio, F., Vallejos, R. (2016).
    Effective sample size for line transect sampling models with an application to marine macroalgae.
    Journal of Agricultural, Biological, and Environmental Statistics 21 (3), 407-425.  Preprint:  |  Citations: 2.
  2. Acevedo, C., Tomic, G., Santander, R., Creixell, W., Osorio, F., Sánchez, E. (2016).
    A Chemometrics approach to analysis volatile molecules released by post-mortem bovine fast-twitch muscles.
    CyTA - Journal of Food 14 (3), 399-404.  Preprint: .
  3. Osorio, F. (2016).
    Influence diagnostics for robust P-splines using scale mixture of normal distributions.
    Annals of the Institute of Statistical Mathematics 68 (3), 589-619.  Preprint:  |  Supplementary:  |  Citations: 1.
  4. Vallejos, R., Osorio, F., Mancilla, D. (2015).
    The codispersion map: a graphical tool to visualize the association between two spatial variables.
    Statistica Neerlandica 69 (3), 298-314.  Preprint:  |  Citations: 3.
  5. Vallejos, R., Osorio, F. (2014).
    Effective sample size of spatial process models.
    Spatial Statistics 9, 66-92.  Preprint:  |  Citations: 5.
  6. Meza, C., Osorio, F., De la Cruz, R. (2012).
    Estimation in nonlinear mixed-effects models using heavy-tailed distributions.
    Statistics and Computing 22 (1), 121-139.  Preprint:  |  Citations: 21.
  7. Osorio, F., Paula, G.A., Galea, M. (2009).
    On estimation and influence diagnostics for the Grubbs' model under heavy-tailed distributions.
    Computational Statistics & Data Analysis 53 (4), 1249-1263.  Preprint:  |  Citations: 14.
  8. Cademartori, D., Navia, R., Galea, M., Osorio, F. (2008).
    Prediction of the economic activity from the short and long-term interest rate differential: New evidences in Chile and the United States of America cases.
    Applied Economics Letters 15 (9), 707-712.  Preprint: .
  9. Osorio, F., Paula, G.A., Galea, M. (2007).
    Assessment of local influence in elliptical linear models with longitudinal structure.
    Computational Statistics & Data Analysis 51 (9), 4354-4368.  Preprint:  |  Citations: 57.
  10. Osorio, F., Galea, M. (2006).
    Detection of a change-point in Student-t linear regression models.
    Statistical Papers 47 (1), 31-38.  Preprint:  |  Citations: 12.

Unpublished Manuscripts

Osorio, F., Vallejos, R., Cuevas, F. (2016).
SpatialPack: Computing the association between two spatial processes.
arXiv:1611.05289  |  E-print:

Conference Proceedings

  1. Osorio, F. (2011).
    Smoothing parameter selection and outliers accommodation for smoothing splines.
    In Proceedings of the 58th World Statistics Congress of the International Statistical Institute, Dublin, Ireland. Session CPS008, 6037-6042.
  2. De la Cruz, R., Eyheramendy, S., Meza, C., Osorio, F. (2010).
    Exact estimation procedures in a spatial mixed-effects probit model with binary outcomes.
    In JSM Proceedings , Statistical Computing Section. Alexandria, VA: American Statistical Association. 3629-3637.  E-print: