Browsing Institute of New Imaging Technologies (INIT) by Author "6d3713d2-51eb-4b5f-800c-705d0b987f92"
Now showing items 1-4 of 4
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A Kalman filter method for estimation and prediction of space–time data with an autoregressive structure
Lagos Álvarez, Bernardo M.; Padilla-Solis, Leonardo Fabricio; Mateu, Jorge; Ferreira, Guillermo Elsevier (2019-03)We propose a new Kalman filter algorithm to provide a formal statistical analysis of space–time data with an autoregressive structure. The Kalman filter technique allows to capture the temporal dependence as well as the ... -
Geostatistical mixed beta regression: a Bayesian approach
Lagos Álvarez, Bernardo M.; Fustos Toribio, Roberto Miguel; Figueroa Zúñiga, Jorge; Mateu, Jorge Springer Verlag (2017)This paper develops regression techniques for geostatistical data, with an emphasis in proportions mea- sured on a continuous scale. Specifically, it deals with Beta regression models with mixed effects to control the ... -
Space-time autoregressive estimation and prediction with missing data based on Kalman filtering
Padilla-Solis, Leonardo Fabricio; Lagos Álvarez, Bernardo M.; Mateu, Jorge; Porcu, Emilio Wiley (2020-11)We propose a Kalman filter algorithm to provide a formal statistical analysis of space‐time data with an autoregressive structure in time. The Kalman filter technique allows to capture the temporal dependence as well as ... -
Two-way layout factorial experiments of spatial point pattern responses in mineral flotation
González, Jonatan A.; Lagos Álvarez, Bernardo M.; Mateu, Jorge Springer (2021-03-25)Factorial experiments are well-understood when the given observations are outcomes of random variables. However, when we observe spatial point patterns in each combination of factors cells, the methodology is much less ...