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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 online resource (284 p.) |
| Soggetto non controllato |
arithmetic progressions
asymptotic distribution birth-death process bounds breakdown and repair busy period catastrophes Cohen and Grossberg neural networks continuous-time Markov chains differential entropy diffusion diffusion model discrete time stochastic model double-ended queues exact asymptotics exogenous factors first Chebyshev function first passage time (FPT) first-passage time first-passage-time forecast combinations fractional birth-death processes fractional differential-difference equations fractional queues fusion estimation general bulk service growth curves host-parasite interaction inverse first-passage problem loan interest rate regulation lognormal diffusion process maximum likelihood estimation mean square stability mixed Gaussian process mixture of Gaussian laws multi-state network multiple vacation multiplicative noises nematode infection non-Markovian queue nonhomogeneous Poisson process periodic intensity functions products of primes proportional hazard rates random delays random impulses random parameter matrices rate of convergence re-service realized volatility regularly varying functions reliability repairs scale family of distributions seasonal environment sensor networks slowly varying functions small deviations stand-by server stochastic order stochastic orders stochastic process Strang-Marchuk splitting approach structural breaks time between inspections time-non-homogeneous birth-death processes time-non-homogeneous jump-diffusion processes total variation distance totally positive of order 2 transient probabilities transition densities two-dimensional signature Wasserstein distance weighted quadratic variation |
| 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 | ||
| ||