ABSTRACT

Keeping pace with the highly diversified research frontier of statistics is hard enough, but I suggest that we also pay ever closer attention to great works of the past. I offer no prescription for how to do this, but reflect instead on three cases from my own research where my solution involved realizing a new interpretation of an old, interesting but possibly uncelebrated result which had been developed in a different context.