Publications

12. Crudu, F., Osorio, F. (2020). Bilinear form test statistics for extremum estimation Economics Letters 187, 108885.
    Preprint:  |  Supplementary:  |  R code:  |  arXiv version:
11. Leal, C., Galea, M., Osorio, F. (2019). Assessment of local influence for the analysis of agreement. Biometrical Journal 61 (4), 955-972.
    Preprint:  |  Supplementary:  |  R code:  |  Citation: 1.
10. 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: 5.
9. 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: .
8. 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: 4.
7. 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: 9.
6. Vallejos, R., Osorio, F. (2014). Effective sample size of spatial process models. Spatial Statistics 9, 66-92.
   Preprint:  |  Citations: 18.
5. 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: 45.
4. 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: 22.
3. 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: .
2. 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: 69.
1. Osorio, F., Galea, M. (2006). Detection of a change-point in Student-t linear regression models. Statistical Papers 47 (1), 31-38.
   Preprint:  |  Citations: 17.

Work in Progress

• Acosta, J., Alegría, A., Osorio, F., Vallejos, R. Assessing the effective sample size for large spatial datasets: A block likelihood approach. Under review.
• Osorio, F., Vallejos, R., Barraza, W., Ojeda, S.M., Landi, M.A. Statistical estimation of the structural similarity index for image quality assessment. Submitted.
• Osorio, F., Galea, M., Arellano-Valle, R. Using the multivariate t distribution for robust modelling in multivariate analysis. In preparation.

Unpublished

Osorio, F., Vallejos, R., Cuevas, F. (2016). SpatialPack: Computing the association between two spatial processes.
arXiv:1611.05289  |  E-print:  |  Citations: 4.

Conference Proceedings

2. 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.
1. 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.

Theses

• Osorio, F. (2006). Influence Diagnostics in Elliptical Mixed-Effects Models. (in Portuguese) Unpublished Doctoral Thesis. Department of Statistics, University of São Paulo, Brazil. PDF:  |  Citations: 18.
• Osorio, F. (2000). Change-point detection in linear regression models with t-independent errors. (in Spanish) Statistical Engineering degree. Department of Statistics, Universidad de Valparaíso, Chile.

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