Nature didn't design human beings to be statisticians, and in fact
our minds are more naturally attuned to spotting the saber-toothed
tiger than seeing the jungle he springs from. Yet scienti?c
discovery in practice is often more jungle than tiger. Those of us
who devote our scienti?c lives to the deep and satisfying subject
of statistical inference usually do so in the face of a certain
under-appreciation from the public, and also (though less so these
days) from the wider scienti?c world. With this in mind, it feels
very nice to be over-appreciated for a while, even at the expense
of weathering a 70th birthday. (Are we certain that some terrible
chronological error hasn't been made?) Carl Morris and Rob
Tibshirani, the two colleagues I've worked most closely with, both
't my ideal pro?le of the statistician as a mathematical scientist
working seamlessly across wide areas of theory and application.
They seem to have chosen the papers here in the same catholic
spirit, and then cajoled an all-star cast of statistical savants to
comment on them.
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