Constitutional Choice in Russia and Post-Communist Europe: Aggravating Democratic Possibilities
|Author||Prof Cindy Skach;|
A decision theoretic approach for segmental classification using Hidden Markov models.
|Abstract||This paper is concerned with statistical methods for the analysis of linear sequence data using Hidden Markov Models (HMMs) where the task is to segment and classify the data according to the underlying hidden state sequence. Such analysis is commonplace in the empirical sciences including genomics, finance and speech processing. In particular, we are interested in answering the question: given data y and a statistical model ¼(x, y) of the hidden ... [truncated at 450 characters in length]|
|Creator||Christopher Yau; Christopher C. Holmes;|