Views Navigation

Event Views Navigation

Exponential Error Bounds for Random Codes on the BSC

David Forney (MIT LIDS)

Abstract: One of Shannon's earliest results was his determination of the capacity of the binary symmetric channel (BSC). Shannon went on to show that, with randomly chosen codes and optimal decoding, the probability of decoding error decreases exponentially for any transmission rate less than capacity. Much of the important early work of Shannon, Elias, Fano and Gallager was devoted to determining bounds on the corresponding "error exponent." A later approach to this problem, pioneered by Csiszar and Korner, and now…

Find out more »

Quantile and Probability Curves without Crossing

Victor Chernozhukov (MIT Econ)

The most common approach to estimating conditional quantile curves is to fit a curve, typically linear, pointwise for each quantile. Linear functional forms, coupled with pointwise fitting, are used for a number of reasons including parsimony of the resulting approximations and good computational properties. The resulting fits, however, may not respect a logical monotonicity requirement -- that the quantile curve be increasing as a function of probability. This paper studies the natural monotonization of these empirical curves induced by sampling…

Find out more »


MIT Statistics + Data Science Center
Massachusetts Institute of Technology
77 Massachusetts Avenue
Cambridge, MA 02139-4307
617-253-1764