- [1]
**Geostatistical simulation of rock physical and geochemical properties with spatial filtering and its application to predictive geological mapping**.In*Journal of Geochemical Exploration*, vol. 220, 2021. - [2]
**Algorithm 1013: An R Implementation of a Continuous Spectral Algorithm for Simulating Vector Gaussian Random Fields in Euclidean Spaces**.In*ACM Transactions on Mathematical Software*, vol. 47, no. 1, 2021. - [3]
**Assessing the impact of geologic contact dilution in ore/waste classification in the gol-gohar iron ore mine, Southeastern Iran**.In*Minerals*, vol. 10, no. 4, 2020. - [4]
**Geological Facies Recovery Based on Weighted $\ell _1$ - Regularization**.In*Mathematical Geosciences*, vol. 52, no. 5, pp. 593–617, 2020. - [5]
**A robust stochastic approach to mineral hyperspectral analysis for geometallurgy**.In*Minerals*, vol. 10, no. 12, pp. 1–32, 2020. - [6]
**Simulating space-time random fields with nonseparable Gneiting-type covariance functions**.In*Statistics and Computing*, vol. 30, no. 5, pp. 1479–1495, 2020. - [7]
**Geostatistics in the presence of geological boundaries: Exploratory tools for contact analysis**.In*Ore Geology Reviews*, vol. 120, 2020. - [8]
**A spectral algorithm to simulate nonstationary random fields on spheres and multifractal star-shaped random sets**.In*Stochastic Environmental Research and Risk Assessment*, vol. 34, no. 12, pp. 2301–2311, 2020. - [9]
**Stein hypothesis and screening effect for covariances with compact support**.In*Electronic Journal of Statistics*, vol. 14, no. 2, pp. 2510–2528, 2020. - [10]
**Stochastic open-pit mine production scheduling: A case study of an iron deposit**.In*Minerals*, vol. 10, no. 7, pp. 1–19, 2020. - [11]
**Operational mine planning in block cave mining: a simulation-optimisation approach**.In*International Journal of Mining, Reclamation and Environment*, 2020. - [12]
**Variogram-Based Descriptors for Comparison and Classification of Rock Texture Images**.In*Mathematical Geosciences*, vol. 52, no. 4, pp. 451–476, 2020. - [13]
**Iterative algorithms for non-conditional and conditional simulation of Gaussian random vectors**.In*Stochastic Environmental Research and Risk Assessment*, vol. 34, no. 10, pp. 1523–1541, 2020. - [14]
**Regionalized Classification of Geochemical Data with Filtering of Measurement Noises for Predictive Lithological Mapping**.In*Natural Resources Research*, 2020. - [15]
**The turning arcs: a computationally efficient algorithm to simulate isotropic vector-valued Gaussian random fields on the d-sphere**.In*Statistics and Computing*, vol. 30, no. 5, pp. 1403–1418, 2020. - [16]
**A semiparametric class of axially symmetric random fields on the sphere**.In*Stochastic Environmental Research and Risk Assessment*, vol. 33, no. 10, pp. 1863–1874, 2019. - [17]
**Nonparametric Geostatistical Simulation of Subsurface Facies: Tools for Validating the Reproduction of, and Uncertainty in, Facies Geometry**.In*Natural Resources Research*, vol. 28, no. 3, pp. 1163–1182, 2019. - [18]
**Simulating isotropic vector-valued Gaussian random fields on the sphere through finite harmonics approximations**.In*Stochastic Environmental Research and Risk Assessment*, vol. 33, no. 8-9, pp. 1659–1667, 2019. - [19]
**A geostatistical approach to estimating the parameters of a 3D Cox-Boolean discrete fracture network from 1D and 2D sampling observations**.In*International Journal of Rock Mechanics and Mining Sciences*, vol. 113, pp. 183–190, 2019. - [20]
**A turning bands method for simulating isotropic Gaussian random fields on the sphere**.In*Statistics and Probability Letters*, vol. 144, pp. 9–15, 2019. - [21]
**A comparison of search strategies to design the cokriging neighborhood for predicting coregionalized variables**.In*Stochastic Environmental Research and Risk Assessment*, vol. 33, no. 1, pp. 183–199, 2019. - [22]
**Change of support using non-additive variables with Gibbs Sampler: Application to metallurgical recovery of sulphide ores**.In*Computers & Geosciences*, vol. 122, pp. 68–76, 2019. - [23]
**Geostatistics in the presence of geological boundaries: Application to mineral resources modeling**.In*Ore Geology Reviews*, 2019. - [24]
**5D geostatistics for directional variables: Application in geotechnics to the simulation of the linear discontinuity frequency**.In*Computers and Geosciences*, vol. 133, 2019. - [25]
**Comparing linear and non-linear kriging for grade prediction and ore/waste classification in mineral deposits**.In*International Journal of Mining, Reclamation and Environment*, vol. 33, no. 4, pp. 247–264, 2019. - [26]
**Robust estimation of the fracture diameter distribution from the true trace length distribution in the Poisson-disc discrete fracture network model**.In*Computers and Geotechnics*, vol. 95, pp. 137–146, 2018. - [27]
**On a continuous spectral algorithm for simulating non-stationary Gaussian random fields**.In*Stochastic Environmental Research and Risk Assessment*, 2018. - [28]
**Simulation of intrinsic random fields of order k with a continuous spectral algorithm**.In*Stochastic Environmental Research and Risk Assessment*, vol. 32, no. 11, pp. 3245–3255, 2018. - [29]
**Admissible nested covariance models over spheres cross time**.In*Stochastic Environmental Research and Risk Assessment*, vol. 32, no. 11, pp. 3053–3066, 2018. - [30]
**Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis**.In*Minerals*, vol. 8, no. 2, 2018. - [31]
**Geological modelling and validation of geological interpretations via simulation and classification of quantitative covariates**.In*Minerals*, vol. 8, no. 1, 2018. - [32]
**A path-level exact parallelization strategy for sequential simulation**.In*Computers & Geosciences*, 2018. - [33]
**Recovering Latent Signals from a Mixture of Measurements Using a Gaussian Process Prior**.In*IEEE Signal Processing Letters*, vol. 24, pp. 231–235, 2017. - [34]
**A comparison between ACO and Dijkstra algorithms for optimal ore concentrate pipeline routing**.In*Journal of Cleaner Production*, vol. 144, pp. 149–160, 2017. - [35]
**Textural image classification of foams based on variographic analysis**.In*Minerals Engineering*, vol. 98, pp. 52–59, 2016. - [36]
**Joint Simulation of Grade and Rock Type in a Stratabound Copper Deposit**.In*Mathematical Geosciences*, vol. 47, no. 4, pp. 471–495, 2015. - [37]
**Application of joint conditional simulation to uncertainty quantification and resource classification**.In*Arabian Journal of Geosciences*, vol. 8, no. 1, pp. 455–463, 2015. - [38]
**Comparing sequential Gaussian and turning bands algorithms for cosimulating grades in multi-element deposits**.In*Comptes Rendus Geoscience*, vol. 347, no. 2, pp. 84–93, 2015. - [39]
**Reconstruction of channelized geological facies based on RIPless compressed sensing**.In*Computers & Geosciences*, vol. 77, pp. 55–65, 2015. - [40]
**Stochastic rock type modeling in a porphyry copper deposit and its application to copper grade evaluation**.In*Journal of Geochemical Exploration*, vol. 157, pp. 162–168, 2015. - [41]
**Fast update of conditional simulation ensembles**.In*Mathematical Geosciences*, pp. 1–19, 2014. - [42]
**Simulation of the lately injected dykes in an Iranian porphyry copper deposit using the plurigaussian model**.In*Arabian Journal of Geosciences*, vol. 7, no. 7, pp. 2771–2780, 2014. - [43]
**Capping and kriging grades with long-tailed distributions**.In*Journal of the Southern African Institute of Mining and Metallurgy*, vol. 114, no. 3, pp. 255–263, 2014. - [44]
**Simulating large Gaussian random vectors subject to inequality constraints by Gibbs sampling**.In*Mathematical Geosciences*, vol. 46, no. 3, pp. 265–283, 2014. - [45]
**Verifying the high-order consistency of training images with data for multiple-point geostatistics**.In*Computers & Geosciences*, vol. 70, pp. 190–205, 2014. - [46]
**Tuning and Hybrid Parallelization of a Genetic-based Multi-Point Statistics Simulation Code**.In*Parallel Computing*, vol. 40, no. 5, pp. 144–158, 2014. - [47]
**Simulation of Intrinsic Random Fields of Order k with Gaussian Generalized Increments by Gibbs Sampling**.In*Mathematical Geosciences*, pp. 1–20, 2014. - [48]
**Multiple-Point Geostatistical Simulation of Dykes: Application at Sungun Porphyry Copper System, Iran**.In*Stochastic Environmental Research and Risk Assessment*, pp. 1–15, 2014. - [49]
**Can a training image be a substitute for a random field model?**In*Mathematical Geosciences*, vol. 46, no. 2, pp. 133–147, 2014. - [50]
**Designing and Advanced RC Drilling Grid for Short-Term Planning in Open Pit Mines: Three Case Studies**.In*The Journal of the Southern African Institute of Mining and Metallurgy*, vol. 114, no. 8, pp. 631–639, 2014. - [51]
**Geostatistics applied to cross-well reflection seismic for imaging carbonate aquifers**.In*Journal of Applied Geophysics*, vol. 92, pp. 68–75, 2013. - [52]
**A stochastic approach for measuring bubble size distribution via image analysis**.In*International Journal of Mineral Processing*, vol. 121, pp. 6–11, 2013. - [53]
**Application of plurigaussian simulation to delineate the layout of alteration domains in Sungun copper deposit**.In*Open Geosciences*, vol. 5, no. 4, pp. 514–522, 2013. - [54]
**Integration of crosswell seismic data for simulating porosity in a heterogeneous carbonate aquifer**.In*Journal of Applied Geophysics*, vol. 98, pp. 254–264, 2013. - [55]
**Simulation of mineral grades and classification of mineral resources by using hard and soft conditioning data: application to Sungun porphyry copper deposit**.In*Arabian Journal of Geosciences*, vol. 6, no. 10, pp. 3773–3781, 2013. - [56]
**Parallel-distributed model deformation in the fingertips for stable grasping and object manipulation**.In*Mathematical Problems in Engineering*, vol. 2012, 2012. - [57]
**Detecting and Quantifying Sources of Non-Stationarity via Experimental Semivariogram Modeling**.In*Stochastic Environmental Research and Risk Assessment*, vol. 26, no. 2, pp. 247–260, 2012. - [58]
**Transferring Sampling Errors into Geostatistical Modeling**.In*Journal of the Southern African Institute of Mining and Metallurgy*, vol. 112, no. 11, pp. 971–983, 2012. - [59]
**Cokriging random fields with means related by known linear combinations**.In*Computers & Geosciences*, vol. 38, no. 1, pp. 136–144, 2012. - [60]
**M. Armstrong, A. Galli, H. Beucher, G. Le Loc’h, D. Renard, B. Doligez, R. Eschard, F. Geffroy: Plurigaussian Simulations in Geosciences**.In*Mathematical Geosciences*, vol. 44, no. 2, pp. 239–240, 2012. - [61]
**Enhanced coregionalization analysis for simulating vector Gaussian random fields**.In*Computers & Geosciences*, vol. 42, pp. 126–135, 2012. - [62]
**Co-simulating total and soluble copper grades in an oxide ore deposit**.In*Mathematical Geosciences*, vol. 44, no. 1, pp. 27–46, 2012. - [63]
**Reducing the number of orthogonal factors in linear coregionalization modeling**.In*Computers & Geosciences*, vol. 46, pp. 149–156, 2012. - [64]
**Using two-point set statistics to estimate the diameter distribution in Boolean models with circular grains**.In*Mathematical Geosciences*, vol. 44, no. 7, pp. 805–822, 2012. - [65]
**Improving financial returns from mining through geostatistical simulation and the optimized advance drilling grid at El Tesoro Copper Mine**.In*Journal of the Southern African Institute of Mining and Metallurgy*, vol. 112, no. 1, pp. 15–22, 2012. - [66]
**An enhanced Gibbs sampler algorithm for non-conditional simulation of Gaussian random vectors**.In*Computers & Geosciences*, vol. 46, pp. 138–148, 2012. - [67]
**Multivariate resource modelling for assessing uncertainty in mine design and mine planning**.In*Journal of the Southern African Institute of Mining and Metallurgy*, vol. 112, no. 5, pp. 353–363, 2012. - [68]
**A Comparison of Random Field Models Beyond Bivariate Distributions**.In*Mathematical Geosciences*, vol. 43, no. 2, pp. 183–202, 2011. - [69]
**Parallel implementation of simulated annealing to reproduce multiple-point statistics**.In*Computers & Geosciences*, vol. 37, no. 8, pp. 1110–1121, 2011. - [70]
**Adapting a Texture Synthesis Algorithm for Conditional Multiple Point Geostatistical Simulation**.In*Stochastic Environmental Research and Risk Assessment*, vol. 25, no. 8, pp. 1101–1111, 2011. - [71]
**Two approaches to direct block-support conditional co-simulation**.In*Computers & Geosciences*, vol. 37, no. 8, pp. 1015–1025, 2011. - [72]
**Local Recoverable Reserves Prediction with Block LU Simulation**.In*International Journal of Mining and Mineral Engineering*, vol. 1, no. 1, pp. 3–21, 2008. - [73]
**On the challenge of using sequential indicator simulation for the estimation of recoverable reserves**.In*International Journal of Mining, Reclamation and Environment*, vol. 22, no. 4, pp. 285–299, 2008. - [74]
**A methodology to construct training images for vein type deposits**.In*Computers & Geosciences*, vol. 34, no. 5, pp. 491–502, 2008. - [75]
**Geostatistical modeling of rock type domains with spatially varying proportions: Application to a porphyry copper deposit**.In*Journal of the South African Institute of Mining and Metallurgy*, vol. 108, no. 5, pp. 285–292, 2008. - [76]
**FITS Files and Regular Grammars: A DMaSS Design Case Study**.In*Astronomical Data Analysis Software and Systems XVI*, vol. 376, p. 499, 2007. - [77]
**Case for geometric criteria in resources and reserves classification, Society for Mining**.In*Transactions Society for Mining Metallurgy and Exploration Incorporated*, vol. 322, pp. 1–11, 2007. - [78]
**Weighted sample variograms as a tool to better assess the spatial variability of soil properties**.In*Geoderma*, vol. 140, no. 1, pp. 81–89, 2007. - [79]
**Scaling multiple-point statistics to different univariate proportions**.In*Computers & Geosciences*, vol. 33, no. 2, pp. 191–201, 2007. - [80]
**Geostatistical Simulation of Optimum Mining Elevations for Nickel Laterite Deposits**.In*CIM Magazine*, vol. 1, no. 6, 2006. - [81]
**Quantifying Uncertainty in Mineral Resources by Use of Classification Schemes and Conditional Simulations**.In*Mathematical Geology*, vol. 38, no. 4, pp. 445–464, 2006. - [82]
**Geostatistical estimation of mineral resources with soft boundaries: a comparative study**.In*Journal of the South African Institute of Mining and Metallurgy*, vol. 106, no. 8, pp. 577–584, 2006. - [83]
**Block size selection and its impact on open pit mine design and planning**.In*Journal of the South African Institute of Mining and Metallurgy*, vol. 106, no. 3, pp. 205–211, 2006. - [84]
**Estimation of mineral resources using grade domains: critical analysis and a suggested methodology**.In*Journal of the South African Institute of Mining and Metallurgy*, vol. 105, no. 4, pp. 247–255, 2005. - [85]
**Resource and reserve evaluation in the presence of imprecise data**.In*CIM Bulletin*, vol. 98, no. 1089, p. 2000, 2005. - [86]
**Histogram and Variogram Inference in the Multigaussian Model**.In*Stochastic Environmental Research and Risk Assessment*, vol. 19, no. 1, pp. 48–58, 2005. - [87]
**Shortcomings of Multiple Indicator Kriging for Assessing Local Distributions**.In*Applied Earth Science (Transactions of the Institutions of Mining and Metallurgy: Section B)*, vol. 113, no. 4, pp. 249–259, 2004. - [88]
**Indicator Simulation Accounting for Multiple-Point Statistics**.In*Mathematical Geology*, vol. 36, no. 5, pp. 545–565, 2004. - [89]
**Calculation of Uncertainty in the Variogram**.In*Mathematical Geology*, vol. 34, no. 2, 2002.

- [1]
**Automatic selection of fracture sets using clustering techniques**.In*2nd International Discrete Fracture Network Engineering Conference, DFNE 2018*2018. - [2]
**Natural Gamma Rays to assist Geo Modelling**.In*International Convention, Trade Show & Investors Exchange PDAC*, Toronto, Canada2018. - [3]
**Simulation of preparation time of a TBM in the underground mining development considering rock mass variability**.In*GEOMIN-MINEPLANNING, 5th International Seminar on Geology for the Mining Industry 2017*, Santiago, Chile2017. - [4]
**Optimization of planning and scheduling of ore body with open pit extraction considering homogeneity in clays as geometallurgical variables**.In*GEOMIN-MINEPLANNING, 5th International Seminar on Geology for the Mining Industry 2017*, Santiago, Chile2017. - [5]
**Restauración 3D de Modelos Geologicos basados en un sistema Masa-Resorte**.In*Actas XX Congreso Geologico Argentino*, San Miguel de Tucuman, Argentina2017. - [6]
**Geometallurgical Variables Characterization Using Hyperspectral Images and Machine Learning Technics**.In*38th Application of Computers and Operations Research in the Mineral Industry*, pp. 61–66, 2017. - [7]
**Rapid Multivariate Resource Assessment**.In*GEOMIN-MINEPLANNING, 5th International Seminar on Geology for the Mining Industry 2017*, Santiago, Chile2017. - [8]
**The impact of geometric variation on the resource estimation quality using an unfolding methodology**.In*Geomin Mineplanning 2017, 5to seminario Internacional de Geologia para la Industria Minera, 5to seminario Internacional de Planificacion Minera*, Santiago, Chile2017. - [10]
**Incorporation of geological information on unfolding and restoration of veins for ore body evaluation**.In*MININ 2016 – 6th International Conference on Innovations in Mine Operations*2016. - [11]
**Time Dependence of Shear Wavespeeds in Northern Chile Related to the 2014 Mw8. 3 Pisagua Earthquake**.In*AGU Fall Meeting Abstracts*2016. - [12]
**Progress towards Data-driven Mine Planning via a Virtual Geometallurgical Laboratory**.In*GEOMET 2016 - The Third AusIMM International Geometallurgy Conference*2016. - [14]
**Abeja VGML: geometallurgical applications on cloud services**.In*MININ 2016 – 6th International Conference on Innovations in Mine Operations*2016. - [15]
**Resource assessment with unfolding methodology: A case study**.In*6th International conference on innovation in mine operations (MININ2016). Santiago: Gecamin Publications*2016. - [16]
**An immersive 3D geological and mining data visualization environment**.In*MININ 2016 – 6th International Conference on Innovations in Mine Operations*2016. - [17]
**Effect of frother type on froth texture and gas holdup**.In*Copper 2016*, Kobe, Japan2016. - [18]
**Rock texture discrimination: A new tool for geological characterization**.In*MININ 2016*, Santiago, Chile2016. - [19]
**A case study of geometallurgical modeling of metal recovery with unequal sampling**.In*GEOMET 2016 – 3rd International Seminar on Geometallurgy*2016. - [20]
**Channelized facies recovery based on weighted compressed sensing**.In*Sensor Array and Multichannel Signal Processing Workshop (SAM)*, Rio de Janeiro, Brazil, pp. 1–5, 2016. - [21]
**Applying data science techniques to metallurgical characterization**.In*GEOMET 2016 – 3rd International Seminar on Geometallurgy, Lima, Peru*2016. - [23]
**Elastic Wavespeed Images of Northern Chile Subduction Zone from the Joint Inversion of Body and Surface Waves: Structure of the Andean Forearc and the Double Seismic Zone**.In*AGU Fall Meeting Abstracts*2015. - [24]
**Analysis and Classification of Natural Rock Textures based on New Transform-based Features**.In*Mathematical Geosciences. Vol. 48(7), Pp. 835–870*2015. - [25]
**CUDA-Based Implementation of GSLIB: The Geostatistical Software Library**.In*GPU Technology Conference*, San jose, California2015. - [26]
**Practical Aspects of Resources Modeling in presence of Locally Varying Anisotropy**.In*IAMG 2015*, Freiberg, Germany2015. - [27]
**The September 16, 2015 Illapel (Mw 8.3) Earthquake: Comprehensive Analysis from Seismic and Geodetic Observations**.In*AGU Fall Meeting Abstracts*2015. - [28]
**U-Fo: software para la evaluacion de recursos en presencia de fallas y pliegues**.In*Geomin 2015*, Antofagasta, Chile2015. - [29]
**High performance computing in geostatistics**.In*Big Data and Environment Workshop 2015*2015. - [30]
**A Flexible Strategy for Distributed and Parallel Execution of a Monolithic Large-Scale Sequential Application**.In*High Performance Computing*, Berlin, Heidelberg, pp. 54–67, 2014. - [31]
**GPU parallelization of geostatistical simulation for mineral reserves quantification**.In*NVIDIA GPU Technology Conference*2014. - [32]
**Geometallurgical Modelling and Mine Planning, CSIRO Chile Program 2**.2014. - [33]
**Resurrecting GSLIB by code optimization and multi-core programming**.In*Geostatistical and geospatial approaches for the characterization of natural resources in the environment: Challenges, Processes and Strategies*, New Dehli, India2014. - [34]
**Water/rock interactions and physicochemical controls on mineral processing: being predictive based on geology**.2014. - [35]
**Challenges in analysis of geo-metallurgical data: Linking numbers with interpretations**.2014. - [36]
**Geochemical quantitative mineral characterization for geometallurgical applications in porphyry copper deposits**.2014. - [37]
**Inverse modeling of moving average kernels for 3D Gaussian simulation**.Paris, France2014. - [38]
**Physicochemical modeling of the behavior of different mineralogical units in milling and flotation**.2013. - [39]
**Categorical variables simulation incorporating local varying anisotropy**.2013. - [40]
**Geometric restitution for improving mineral resource estimation applied to Peumo deposit**.In*GEOMIN 2013*2013. - [41]
**Implementation of parallelized conditional simulation in GPU for generating large resources models**.2012. - [42]
**Modelamiento y simulacion del sistema de cargu{\backslash’\backslashi}o y transporte en Mina Chuquicamata**.2012. - [43]
**Parallelization of simulation algorithm with GPU for constructing highresolution models of Earth Sciences variables**.Valencia, Spain2012. - [44]
**Parallel implementation of multiple-point simulation based on texture synthesis**.2012. - [45]
**Training image selection for multiple-point geostatistical simulation**.2012. - [46]
**Improve an efficient simulation of multidimensional Gaussian random fields in GPU**.In*V Latin American Symposium on High Performance Computing HPCLatAm*, Buenos Aires, Argentina2012. - [47]
**Improving an efficient simulation of multidimensional Gaussian random fieldsin GPU**.Buenos Aires, Argentina2012. - [48]
**Multiple-point geostatistical simulation based on genetic algorithms implemented in a shared-memory supercomputer**.Oslo, Norway, pp. 103–114, 2012. - [49]
**Inferring a representative distribution of soluble copper grade in the presence of a preferential sampling**.Santiago, Chile2011. - [50]
**Stepwise Conditional Transformation of linearly transformed variables for multivariate geostatistical simulation**.Santiago, Chile2011. - [51]
**Mine-scale modeling of lithologies with multiple-point geostatistical simulation**.Salzburg2011. - [52]
**A Novel Approach to Estimate the Gap Between the Middle and Short-Term Plans**.WA, Australia2011. - [53]
**Geological modelling and metallurgical prediction supported by linear and non-linear statistics**.Santiago, Chile, pp. 459–470, 2010. - [54]
**The economic optimisation of advanced drilling grids for short term planning and grade control at El Tesoro Copper Mine**.Santiago, Chile, pp. 89–98, 2010. - [55]
**Multiple-point conditional unilateral simulation for categorical variables**.Santiago, Chile, pp. 413–422, 2010. - [56]
**Conditional multiple point simulation with texture synthesis**.2010. - [57]
**Quantifying uncertainty in resources tonnage using multiple point geostatistical simulation**.Santiago, Chile, pp. 423–432, 2010. - [58]
**Conditional multiple point simulation with texture synthesis**.2010. - [59]
**Distributed-multiprocess implementation of kriging for the estimation of mineral resources**.Santiago, Chile, pp. 433–442, 2010. - [60]
**Mine planning considering uncertainty in grades and work index**.Santiago, Chile, pp. 129–136, 2010. - [61]
**Image segmentation for mineral identification in oxide copper deposit**.Santiago, Chile, pp. 405–412, 2010. - [62]
**Adding flexibility to support vector classification for modelling categorical variables**.Santiago, Chile, pp. 479–489, 2010. - [63]
**Conditional multiple-point simulation with a texture synthesis algorithm, Computational Methods for the Earth, Energy and Environmental Sciences**.2009. - [64]
**Conditional multiple-point simulation with a texture synthesis algorithm**.2008. - [65]
**Geostatistics applied to geotechnical parameters**., pp. 137–146, 2008. - [66]
**Innovations in Software Development for Resource Evaluation**.In*MININ 2008 - 4th International Conference on Innovations in Mine Operations*, Santiago, Chile2008. - [67]
**Outlier detection and consistent h-scatter plot smoothing for robust variogram estimation**.2008. - [68]
**An Overview of the Challenges of Multiple-Point Geostatistics**.Santiago, Chilevol. 1, , pp. 11–20, 2008. - [69]
**Analysis of fiber optics BOTDR data to predict rock mass behavior in panel caving**.2007. - [70]
**An Optimization Algorithm to Asses Different Resource Models for Open Pit Short Term Planning**., pp. 721–732, 2007. - [71]
**Integration of Disparate Data with Logratios of Conditional Probabilities**.2007. - [72]
**A practical approach to validate the variogram reproduction from geostatistical simulation**., pp. 121–127, 2007. - [73]
**VOTable Construction and a Simple, Lazy, Expression Evaluator: Two Technical Aspects of the DMaSS**.In*Astronomical Data Analysis Software and Systems XVI*vol. 376, , p. 506, 2007. - [74]
**Conditional simulation as a tool for assessing mining selectivity**., pp. 79–85, 2007. - [75]
**Geostatistical simulation of mineral grades in the presence of spatial trends**.In*33rd International Symposium on Applications of Computers and Operations Research in the Mineral Industry APCOM*, pp. 87–93, 2007. - [76]
**A comparative study of three data-driven Mineral Potential Mapping techniques**.Belgium2006. - [77]
**Evaluacion de la incertidumbre en la variabilidad espacial de la precipitacion usando un modelamiento multiGaussiano**.2006. - [78]
**Multivariate geostatistical and GIS methods for mineral exploration**.Santiago, Chile2006. - [79]
**Multivariate p-field simulation**.2006. - [80]
**On the Scaling and Use of Multivariate Distributions in Geostatistical Simulation**.Toronto, Canada2005. - [81]
**Estimacion de la variabilidad espacial de eventos de precipitacion usando metodos geoestadisticos**.2005. - [82]
**Internal Consistency and Inference of Change-of-support isofactorial Models**.In*Geostatistics Banff 2004*vol. 2, , pp. 1057–1066, 2005. - [83]
**A Step by Step Guide to Bi-Gaussian Disjunctive Kriging**.In*Geostatistics Banff 2004*vol. 2, , pp. 1097–1102, 2005. - [84]
**Simulacion geoestadistica por campos de probabilidad para evaluacion de reservas mineras**.Buenos Aires, Argentina2005. - [85]
**Integrating Multiple-Point Statistics into Sequential Simulation Algorithms**.vol. 2, , pp. 969–978, 2005. - [86]
**A MultiGaussian Approach to Assess Block Grade Uncertainty**.2004. - [87]
**Geostatistical Simulation of Optimum Mining Elevations for Nickel Laterite Deposits**.2004. - [88]
**Modelamiento Geoestadistico de la Razon de Solubilidad en un Yacimiento de Oxidados de Cobre**., pp. 198–208, 2004. - [89]
**Categorizacion de Recursos y Reservas Mineras**., pp. 226–236, 2004. - [90]
**Hierarchical Indicator Simulation**.Phoenix, Arizona, pp. 275–284, 2002. - [91]
**Estimation of Economic Losses due to Poor Blast Hole Sampling in Open Pits**.In*Geostatistics 2000*, Cape Town, South Africavol. 2, , pp. 732–741, 2000.

- [1]
**Implementation of synthetic scenarios for the study of the ambient noise tomography technique**. Universidad de Chile, 2017 - [2]
**Tecnicas y aplicaciones de separacion de senales aplicadas en imagenes hiper espectrales**. Universidad de Chile, 2016

© 2020 ALGES. All Rights Reserved