Skip to main navigation
Skip to search
Skip to main content
Universidad Adolfo Ibáñez Home
English
Español
Search content at Universidad Adolfo Ibáñez
Home
Profiles
Research units
Projects
Research output
Prizes
Press/Media
Non-Gaussian geostatistical modeling using (skew) t processes
Moreno Bevilacqua
, Christian Caamaño-Carrillo
, Reinaldo B. Arellano-Valle
, Víctor Morales-Oñate
Faculty of Engineering and Science
Research output
:
Contribution to journal
›
Article
›
peer-review
21
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Non-Gaussian geostatistical modeling using (skew) t processes'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Analytic Expression
50%
Asymmetric
50%
Bivariate Distribution
50%
Gaussian Distribution
100%
Gaussian Process
100%
Geometrical Property
50%
Heavy Tail
50%
Likelihood
50%
Linear Predictor
50%
Marginal Distribution
100%
Marginals
50%
Simulation Study
50%
Spatial Data
50%
Square Root
50%
Stationary Process
50%
Keyphrases
Analytic Expression
25%
Australia
25%
Bivariate Distribution
25%
Dependence Analysis
25%
Estimation Method
25%
Gaussian Process
25%
Geometric Properties
25%
Georeferencing
25%
Geostatistical Modeling
100%
Heavy Tails
25%
Inverse Square Root
25%
Linear Predictor
25%
Marginal Distribution
50%
Maximum Temperature
25%
Non-Gaussian
100%
Pairwise Likelihood
25%
Regression Analysis
25%
Scale Mixing
25%
Second-order Properties
25%
Simulation Study
25%
Skew Gaussian Process
25%
Spatial Data
25%
Square-root Process
25%
Stationary Process
25%
T-process
100%
INIS
asymmetry
33%
australia
33%
construction
33%
data
33%
datasets
33%
distribution
100%
gaussian processes
66%
mixing
33%
modeling
100%
performance
33%
roots
33%
simulation
33%