Annals Of The Institute Of Statistical Mathematics. In situations where limited knowledge of a system exists and the ratio of data points to variables is small variable selection methods can often be misleading Freedman (Am Stat 37152155 1983) demonstrated how common it is to select completely unrelated variables as highly “significant” when the number of data points is similar in magnitude to the number of variables.
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Annals of the Institute of Statistical Mathematics
Annals of the Institute of Statistical Mathematics Vol74 No1 is published 2021/12/24 A paper on a candidate model for geomagnetic secular variation received an outstanding paper award 2021/11/05 Annals of the Institute of Statistical Mathematics Vol73 No6 is.
Annals of the Institute of Statistical Mathematics
Annals of the Institute of Statistical Mathematics (AISM) is a bimonthly peerreviewed scientific journal covering statistics It was established in 1949 and is published by Springer Science+Business Media on behalf of Institute of Statistical Mathematics The editorinchief is Hironori Fujisawa (Institute of Statistical Mathematics).
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Annals of the Institute of Statistical Mathematics [1] H Akaike “Some problems in the application of the crossspectral method”Spectral Analysis of Time Series (ed B Harris) New York John Wiley (1967) 81–107 Google Scholar.
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Model selection bias and Freedman’s paradox
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