Applications of Information Theory to Epidemiology |
Autore | Hughes Gareth |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (238 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences |
Soggetto non controllato |
Ebola model
Caputo derivative Caputo-Fabrizio derivative Atangana-Baleanu derivative numerical results entropy information theory multiple diagnostic tests mutual information relative entropy balance Jensen-Shannon divergence observational study selection bias probability forecast likelihood ratio positive predictive value negative predictive value diagnostic information Shannon entropy epidemic model transient behavior vaccination and treatment intervention controls diagnostic test evaluation ROC curve PROC curve binormal prevalence Bayes' rule leaf plot expected mutual information predictive ROC curve PV-ROC curve SS-ROC curve SS/PV-ROC plot empirical urinary bladder cancer sensitivity specificity HIV/AIDS epidemic regression model Newton-Raphson procedure Fisher scoring algorithm time series early detection Asiatic citrus canker latent class field diagnostic scent signature direct assay deployment average mutual information stochastic processes deterministic dynamics |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557759303321 |
Hughes Gareth | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 |
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 | ||
|