Lactase 发表于 2025-3-21 17:59:36
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Sergio R. Andena,Luis Filipe Lopes,James M. Carpenter,Orlando T. Silveirase which is not required to have Gaussian probability den sity functions in its statistical description. For the most part the material developed here can be classified as belonging to the gen eral body of results of parametric theory. Thus the probability density functions of the observations areenchant 发表于 2025-3-22 02:43:53
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Mateus Detoni,Fábio Prezotoeduction in various ways. Further, the bookprovides the accompanying Matlab code, allowing readers to easily implement themain ideas discussed. Variable span filters combine the ideas of optimal linearfilters with those of subspace methods, as they involve the jointdiagonalization of the correlationODIUM 发表于 2025-3-22 12:39:41
André Rodrigues de Souza,Camila Folly Baptista,Fábio Santos Nascimento,José Lino-Netoeduction in various ways. Further, the bookprovides the accompanying Matlab code, allowing readers to easily implement themain ideas discussed. Variable span filters combine the ideas of optimal linearfilters with those of subspace methods, as they involve the jointdiagonalization of the correlationMangle 发表于 2025-3-22 16:44:41
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Kazuyuki Kudôized with respect to one-step ahead foreca- ing performances for applications involving multi-step ahead forecasts? • Why do we infer ‘long-term‘ properties (unit-roots) of an unknown process from statistics essentially based on short-term one-step ahead forecasting performances of particular time sEmasculate 发表于 2025-3-23 04:38:59
Cintia Akemi Oi,Tom Wenseleers,Ricardo Caliari Oliveirarespect to one-step ahead foreca- ing performances for applications involving multi-step ahead forecasts? • Why do we infer ‘long-term‘ properties (unit-roots) of an unknown process from statistics essentially based on short-term one-step ahead forecasting performances of particular time series mode头盔 发表于 2025-3-23 05:38:49
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