Felipe Osorio

Academic Research Associate at Institute of Statistics of the Pontificia Universidad Católica de Valparaíso, Chile. In August 2006, I completed my doctorate degree in Statistics at University of São Paulo, Brazil under the direction of Dr. Gilberto A. Paula.

My research interests lie in the fields of sensitivity and influence diagnostics as a mean to criticize and to improve the statistical modeling. In particular, I focus on the development of estimation and influence procedures in mixed-effects models and longitudinal data under non-normal distributions as well as the computational implementation of such techniques.


  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: 4.
  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: 23.
  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: 15.
  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.

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.

Work in Progress

Osorio, F., Galea, M. (2017).
Likelihood-based tests for the covariance matrix of multivariate t distribution: return assessment of the Chilean pension system..
Under revision.

Galea, M., Osorio, F. (2017).
Testing equality of Sharpe ratios using the multivariate t distribution.
Working paper.

Acosta, J., Osorio, F., Vallejos, R. (2017).
Estimation of spatial models with partially linear covariance structure.
Working paper.

Vallejos, R., Barraza, W., Osorio, F., Ojeda, S. (2017).
Statistical estimation of structural similarity coefficients for images.
Working paper.

Conference Proceedings

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.

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.

Unpublished Manuscripts

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