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Hidden Markov processes : theory and applications to biology / / M. Vidyasagar
Hidden Markov processes : theory and applications to biology / / M. Vidyasagar
Autore Vidyasagar M (Mathukumalli), <1947->
Edizione [Course Book]
Pubbl/distr/stampa Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014
Descrizione fisica 1 online resource (303 p.)
Disciplina 570.285
Collana Princeton Series in Applied Mathematics
Soggetto topico Computational biology
Markov processes
Soggetto non controllato BLAST theory
BaumЗelch algorithm
Bayes' rule
Cramr's theorem
GENSCAN algorithm
GLIMMER algorithm
Hankel matrix
Hankel rank condition
Hoeffding's inequality
KullbackЌeibler divergence
Markov chain
Markov process
Markov property
Monte Carlo simulation
PerronІrobenius theorem
Probability theory
Sanov's theorem
Viterbi algorithm
alignment
alpha-mixing process
amino acids
canonical form
complete realization problem
computational biology
concave function
conditional entropy
convex function
entropy function
entropy
ergodicity
expected value
finite alphabet
gene-finding problem
genomics
hidden Markov model
hidden Markov processes
hitting probability
information theory
irreducible matrices
large deviation property
large deviation theory
likelihood estimation
likelihood
lower semi-continuous function
lower semi-continuous relaxation
maximal segmental score
maximum likelihood estimate
mean hitting time
moment generating function
nonnegative matrices
nucleotide
optimal gapped alignment
periodic irreducible matrices
post-genomic biology
primitive matrices
probability distribution
probability
protein classification
proteomics
quasi-realization
random variable
rate function
recurrent state
relative entropy rate
relative entropy
sequence alignment
sequence
state transition matrix
stationary distribution
total variation distance
transient state
ultra-mixing process
ISBN 1-4008-5051-7
Classificazione SK 820
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Preface -- PART 1. Preliminaries -- Chapter One. Introduction to Probability and Random Variables -- Chapter Two. Introduction to Information Theory -- Chapter Three. Nonnegative Matrices -- PART 2. Hidden Markov Processes -- Chapter Four. Markov Processes -- Chapter Five. Introduction to Large Deviation Theory -- Chapter Six. Hidden Markov Processes: Basic Properties -- Chapter Seven. Hidden Markov Processes: The Complete Realization Problem -- PART 3. Applications to Biology -- Chapter Eight. Some Applications to Computational Biology -- Chapter Nine. BLAST Theory -- Bibliography -- Index -- Back matter
Record Nr. UNINA-9910786777403321
Vidyasagar M (Mathukumalli), <1947->  
Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hidden Markov processes : theory and applications to biology / / M. Vidyasagar
Hidden Markov processes : theory and applications to biology / / M. Vidyasagar
Autore Vidyasagar M (Mathukumalli), <1947->
Edizione [Course Book]
Pubbl/distr/stampa Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014
Descrizione fisica 1 online resource (303 p.)
Disciplina 570.285
Collana Princeton Series in Applied Mathematics
Soggetto topico Computational biology
Markov processes
Soggetto non controllato BLAST theory
BaumЗelch algorithm
Bayes' rule
Cramr's theorem
GENSCAN algorithm
GLIMMER algorithm
Hankel matrix
Hankel rank condition
Hoeffding's inequality
KullbackЌeibler divergence
Markov chain
Markov process
Markov property
Monte Carlo simulation
PerronІrobenius theorem
Probability theory
Sanov's theorem
Viterbi algorithm
alignment
alpha-mixing process
amino acids
canonical form
complete realization problem
computational biology
concave function
conditional entropy
convex function
entropy function
entropy
ergodicity
expected value
finite alphabet
gene-finding problem
genomics
hidden Markov model
hidden Markov processes
hitting probability
information theory
irreducible matrices
large deviation property
large deviation theory
likelihood estimation
likelihood
lower semi-continuous function
lower semi-continuous relaxation
maximal segmental score
maximum likelihood estimate
mean hitting time
moment generating function
nonnegative matrices
nucleotide
optimal gapped alignment
periodic irreducible matrices
post-genomic biology
primitive matrices
probability distribution
probability
protein classification
proteomics
quasi-realization
random variable
rate function
recurrent state
relative entropy rate
relative entropy
sequence alignment
sequence
state transition matrix
stationary distribution
total variation distance
transient state
ultra-mixing process
ISBN 1-4008-5051-7
Classificazione SK 820
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Preface -- PART 1. Preliminaries -- Chapter One. Introduction to Probability and Random Variables -- Chapter Two. Introduction to Information Theory -- Chapter Three. Nonnegative Matrices -- PART 2. Hidden Markov Processes -- Chapter Four. Markov Processes -- Chapter Five. Introduction to Large Deviation Theory -- Chapter Six. Hidden Markov Processes: Basic Properties -- Chapter Seven. Hidden Markov Processes: The Complete Realization Problem -- PART 3. Applications to Biology -- Chapter Eight. Some Applications to Computational Biology -- Chapter Nine. BLAST Theory -- Bibliography -- Index -- Back matter
Record Nr. UNINA-9910828783803321
Vidyasagar M (Mathukumalli), <1947->  
Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui