Blar i NTNU Open på forfatter "Conjard, Maxime"
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Data Assimilation in Spatio-Temporal Models with Non-Gaussian Initial States—The Selection Ensemble Kalman Model
Conjard, Maxime; Omre, Henning (Peer reviewed; Journal article, 2020)Assimilation of spatio-temporal data poses a challenge when allowing non-Gaussian features in the prior distribution. It becomes even more complex with nonlinear forward and likelihood models. The ensemble Kalman model and ... -
Spatio-temporal Inversion using the Selection Kalman Model
Conjard, Maxime; Omre, Karl Henning (Peer reviewed; Journal article, 2021)Data assimilation in models representing spatio-temporal phenomena poses a challenge, particularly if the spatial histogram of the variable appears with multiple modes. The traditional Kalman model is based on a Gaussian ... -
Towards joint disease mapping using penalised complexity priors
Conjard, Maxime (Master thesis, 2016)This thesis goal is to assess whether penalized complexity priors can be used successfully in a joint disease modeling framework and have similar properties as when used for modeling only one disease. Penalized complexity ...