= Joseph Born Kadane
{c}
{title2=1941–}
{wiki}
<Joseph Born Kadane> is a statistician whose work connects <Bayesian statistics>, <decision theory> and applications of <probability> to practical evidence. In his own research statement, he describes work on <prior elicitation>: constructing <probability distribution>[probability distributions] from an investigator's background knowledge, as well as on the foundations and computation of <Bayesian inference>.https://www.stat.cmu.edu/GSS/kadane.html[Carnegie Mellon, Joseph B. Kadane research statement, theoretical interests]{ref}
His institutional biography records that he joined Carnegie Mellon in 1971 and headed its statistics department from 1972 to 1981.https://www.cmu.edu/dietrich/statistics-datascience/people/emeritus/joseph-kadane.html[Carnegie Mellon departmental biography, Bio]{ref} In computing, his name is also attached to <Kadane's algorithm> for the <maximum subarray problem>: the best segment ending at a new position either extends the preceding best-ending segment or starts at that position. This gives a linear-time dynamic programming solution.
\Image[https://www.stat.cmu.edu/~kadane/smallkadane.gif]
{title=Portrait of <Joseph Born Kadane>}
{description=Photograph from Carnegie Mellon University's official researcher profile.}
{source=https://www.stat.cmu.edu/~kadane/}
{width=260}
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