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UID:9058@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20260518T140000
DTEND;TZID=Europe/Paris:20260518T153000
DTSTAMP:20260327T102622Z
URL:https://www.i2m.univ-amu.fr/evenements/conditional-multivariate-functi
 onal-pca-for-the-reconstruction-of-temperature-and-salinity-profiles-parti
 ally-sampled-by-deep-diving-marine-mammals/
SUMMARY:David Nérini (amU): Séminaire de David Nerini
DESCRIPTION:David Nérini: Conditional multivariate functional PCA for the 
 reconstruction of temperature and salinity profiles partially sampled by 
 deep-diving marine mammals\n\nNadège Fonvieille\, Christophe Guinet\, Bap
 tiste Picard\, David Nerini\n\nWe present a statistical method to reconstr
 uct the vertical thermohaline conditions in the Indian Sector of the South
 ern Ocean\, where temperature and salinity profiles are partially sampled 
 by female southern elephant seals. Datasets collected by biologgers provid
 e unprecedented spatial and temporal coverage of ocean conditions. However
 \, the maximum recorded depth varies with the animals’ behaviour\, offer
 ing only a partial view of the vertical environment. Using multivariate fu
 nctional Principal Component Analysis (fPCA)\, a parametric estimation of 
 the covariance structure and mean function from a set of complete bivariat
 e profiles allows the construction of an eigenfunction basis. By accountin
 g for measurement error variance\, partially sampled temperature and salin
 ity profiles can be projected into the eigenspace of the complete profiles
  through conditional estimation of their functional principal coordinates 
 and then reconstructed over the defined domain. For simulated snippet prof
 iles truncated at depth zmax = 250 m and reconstructed over Z = [20\, 500]
  m\, reconstruction accuracy increases by 36 % for temperature and 50 % fo
 r salinity when incorporating geographical covariates. We then reconstruct
  90\,000 incomplete profiles from the multivariate functional PCA of 10\,0
 00 profiles reaching 500 m\, covering approximately 3 million km² around 
 the French subantarctic islands.
CATEGORIES:Séminaire,Statistique
LOCATION:Saint-Charles - FRUMAM  (2ème étage)\, 3 Place Victor Hugo\, Mar
 seille\, 13003\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=3 Place Victor Hugo\, Marse
 ille\, 13003\, France;X-APPLE-RADIUS=100;X-TITLE=Saint-Charles - FRUMAM  (
 2ème étage):geo:0,0
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DTSTART:20260329T030000
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