%0 Journal Article
%T The use of regularization methods in computing Radon-Nikodym derivatives. Application to grain-size distributions
%+ Institut méditerranéen d'océanologie (MIO)
%A Manté, Claude
%< avec comité de lecture
%Z MIO:99-003
%@ 1064-8275
%J SIAM Journal on Scientific Computing
%I Society for Industrial and Applied Mathematics
%V 21
%P 455-472
%8 1999
%D 1999
%R 10.1137/S1064827597319374
%K measures derivation
%K reproducing kernels
%K L-curve
%K multivariate statistical analysis
%K ILL-POSED PROBLEMS
%Z Statistics [stat]/Methodology [stat.ME]
%Z Statistics [stat]/Statistics Theory [stat.TH]
%Z Statistics [stat]/Applications [stat.AP]
%Z Sciences of the Universe [physics]/Continental interfaces, environment
%Z Mathematics [math]/Numerical Analysis [math.NA]
%Z Mathematics [math]/Statistics [math.ST]
%Z Environmental Sciences/Global ChangesJournal articles
%X Let a probability law nu on [a; b] be absolutely continuous with respect to another probability law mu (specified), equivalent to the Lebesgue measure lambda on [a; b]. We seek to approximate the density d nu/d mu (assumed to be in L-mu(2) ([a; b])) in the least square sense, given the values of the distribution function nu([a; t]) at fixed points {t(j) : 1 less than or equal to j less than or equal to p}. We obtain a convenient solution of this ill-posed problem via a Hilbert space embedding, and the associated discretized problem is solved by using regularization methods. This problem is connected with sedimentological topics such as sediment transport and changes of scale. As an example, a weight frequency cumulative curve is processed.
%G English
%L hal-00693392
%U https://hal.science/hal-00693392
%~ SDE
%~ INSU
%~ UNIV-TLN
%~ CNRS
%~ UNIV-AMU
%~ MIO
%~ OSU-INSTITUT-PYTHEAS
%~ GIP-BE
%~ TDS-MACS
%~ MIO-EMBIO