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

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), 407425.
Preprint:
 Citations: 4.

Acevedo, C., Tomic, G., Santander, R., Creixell, W., Osorio, F., Sánchez, E. (2016).
A Chemometrics approach to analysis volatile molecules released by postmortem bovine fasttwitch muscles.
CyTA  Journal of Food 14 (3), 399404.
Preprint:
.

Osorio, F. (2016).
Influence diagnostics for robust Psplines using scale mixture of normal distributions.
Annals of the Institute of Statistical Mathematics 68 (3), 589619.
Preprint:

Supplementary:
 Citations: 2.

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), 298314.
Preprint:
 Citations: 5.

Vallejos, R., Osorio, F. (2014).
Effective sample size of spatial process models.
Spatial Statistics 9, 6692.
Preprint:
 Citations: 8.

Meza, C., Osorio, F., De la Cruz, R. (2012).
Estimation in nonlinear mixedeffects models using heavytailed distributions.
Statistics and Computing 22 (1), 121139.
Preprint:
 Citations: 32.

Osorio, F., Paula, G.A., Galea, M. (2009).
On estimation and influence diagnostics for the Grubbs' model under heavytailed distributions.
Computational Statistics & Data Analysis 53 (4), 12491263.
Preprint:
 Citations: 21.

Cademartori, D., Navia, R., Galea, M., Osorio, F. (2008).
Prediction of the economic activity from the short and longterm interest rate differential:
New evidences in Chile and the United States of America cases.
Applied Economics Letters 15 (9), 707712.
Preprint:
.

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), 43544368.
Preprint:
 Citations: 63.

Osorio, F., Galea, M. (2006).
Detection of a changepoint in Studentt linear regression models.
Statistical Papers 47 (1), 3138.
Preprint:
 Citations: 14.
Work in Progress

Leal, C., Galea, M., Osorio, F. (2018).
Assessment of local influence for the analysis of agreement. Under review.

Osorio, F., Vallejos, R., Barraza, W., Ojeda, S., Landi, M.A. (2018).
Estimation of the structural similarity index for remotesensing data. Under review.

Barra, L., Osorio, F.
Assessment of movement difficulties in Chilean preschoolers. In preparation.

González, E., Martínez, I., Martínez, F., Garrido, J.M., Guerrero, F., Osorio, F.
Active learning in biochemical engineering by means of virtual laboratory for fermentation processes. In preparation.

Osorio, F., Galea, M.
Gradient test for variance homogeneity of correlated variables. In preparation.

Osorio, F., Russo, C.M.
The gradient statistic for inference functions and its application to influence diagnostics. In preparation.
Preprint
Osorio, F., Vallejos, R., Cuevas, F. (2016).
SpatialPack: Computing the association between two spatial processes.
arXiv:1611.05289

Eprint:
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, 60376042.

De la Cruz, R., Eyheramendy, S., Meza, C., Osorio, F. (2010).
Exact estimation procedures in a spatial mixedeffects probit model with binary outcomes.
In JSM Proceedings , Statistical Computing Section. Alexandria, VA:
American Statistical Association. 36293637.
Eprint: