title: Three statistical technologies with high potential in biological imaging and modeling.
abstract: The three technologies that are surveyed here are (1) wavelet approximations, (2) hidden Markov models, and (3) the Markov chain Renaissance. The intention of the article is to provide an introduction to the benefits these technologies offer and to explain as far as possible the sources of their effectiveness. We also hope to suggest some useful relationships between these technologies and issues of importance on the agenda of biological and medical research.
authors.affiliation: Department of Statistics, University of Pennsylvania, Philadelphia 19104-6302, USA.
authors.forename: M
authors.initials: M
authors.lastname: Fridman
authors.forename: J M
authors.initials: JM
authors.lastname: Steele
mesh_terms: D000465:Algorithms; D001695:Biology / Q000379:methods*; D008390:Markov Chains; D008433:Mathematics; D015233:Models, Statistical; D011336:Probability