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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 | ||
| ||
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 | ||
| ||
Stochastic Processes with Applications
| Stochastic Processes with Applications |
| Autore | Macci Claudio |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (284 p.) |
| Soggetto non controllato |
arithmetic progressions
weighted quadratic variation fractional differential-difference equations small deviations periodic intensity functions realized volatility rate of convergence host-parasite interaction first Chebyshev function regularly varying functions Cohen and Grossberg neural networks mixture of Gaussian laws diffusion model transition densities re-service Strang–Marchuk splitting approach random delays nematode infection first-passage-time total variation distance forecast combinations products of primes discrete time stochastic model multiplicative noises slowly varying functions growth curves stochastic process loan interest rate regulation birth-death process non-Markovian queue catastrophes exogenous factors seasonal environment repairs proportional hazard rates structural breaks transient probabilities first passage time (FPT) bounds double-ended queues mixed Gaussian process stochastic order time between inspections busy period diffusion continuous-time Markov chains general bulk service time-non-homogeneous birth-death processes stand-by server reliability sensor networks random impulses scale family of distributions maximum likelihood estimation multi-state network totally positive of order 2 lognormal diffusion process fractional birth-death processes exact asymptotics stochastic orders time-non-homogeneous jump-diffusion processes asymptotic distribution inverse first-passage problem nonhomogeneous Poisson process two-dimensional signature multiple vacation first-passage time mean square stability fractional queues differential entropy random parameter matrices Wasserstein distance breakdown and repair fusion estimation |
| ISBN | 3-03921-729-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367741003321 |
|
Macci Claudio
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||