Fireball of January 27, 1906

Lecture 5 : January 27

j=1 p̂j log2(p̂j) • LP Estimator The LP Estimator works by transforming the samples {Xi}i=1 into a fingerprint, which is the vector f = (f1, f2, ...) for which fi is the number of elements in the domain that occurred i times in the sample, i.e. with empirical frequency i/n. The fingerprint is also known as the “type” of a sample. The fingerprint serves as an estimate of the histogram of the distr...

Washington University Record, January 27, 2006

Washington University Record, January 27, 1994

Lecture 7 Statistical Models January 27 , 1998 Lecturer

In previous lectures we have discussed using the general expectation maximization algorithm to find an optimal weight matrix that indicated the probability for finding a given symbol at a given location in a motif. The weight matrix model has two main limitations in its ability to describe a family of related sequences, protein or otherwise. First of all, the weight matrix only allows compariso...

Compressed Baryonic Matter in Laboratory Experiments January 27 , 2011 Springer