Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Applications of Information Theory to Epidemiology
| Applications of Information Theory to Epidemiology |
| Autore | Hughes Gareth |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (238 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
Asiatic citrus canker
Atangana-Baleanu derivative average mutual information balance Bayes' rule binormal Caputo derivative Caputo-Fabrizio derivative deployment deterministic dynamics diagnostic information diagnostic test direct assay early detection Ebola model empirical entropy epidemic model evaluation expected mutual information field diagnostic Fisher scoring algorithm forecast HIV/AIDS epidemic information theory Jensen-Shannon divergence latent class leaf plot likelihood ratio multiple diagnostic tests mutual information n/a negative predictive value Newton-Raphson procedure numerical results observational study positive predictive value predictive ROC curve prevalence probability PROC curve PV-ROC curve regression model relative entropy ROC curve scent signature selection bias sensitivity Shannon entropy specificity SS-ROC curve SS/PV-ROC plot stochastic processes time series transient behavior urinary bladder cancer vaccination and treatment intervention controls |
| 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 | ||
| ||
Divergence Measures : Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems
| Divergence Measures : Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems |
| Autore | Sason Igal |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (256 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
Augustin-Csiszár mutual information
Bahadur efficiency Bayes risk bootstrap Bregman divergence capacitory discrimination Carlson-Levin inequality chi-squared divergence conditional limit theorem conditional Rényi divergence convexity data transmission difference of convex (DC) programming dimensionality reduction discriminant analysis error exponents f-divergence f-divergences horse betting hypothesis testing information contraction information geometry information inequalities information measures Jensen diversity Jensen-Bregman divergence Jensen-Shannon centroid Jensen-Shannon divergence Kelly gambling large deviations Markov chains maximal correlation maximum likelihood method of types minimum divergence estimator mixture family mutual information n/a Pinsker's inequality relative entropy Rényi divergence Rényi entropy Rényi mutual information skew-divergence statistical divergences statistical inference strong data-processing inequalities total variation α-mutual information |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Divergence Measures |
| Record Nr. | UNINA-9910576871103321 |
|
Sason Igal
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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-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 | ||
| ||
New Developments in Statistical Information Theory Based on Entropy and Divergence Measures / Leandro Pardo
| New Developments in Statistical Information Theory Based on Entropy and Divergence Measures / Leandro Pardo |
| Autore | Pardo Leandro |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (344 p.) |
| Soggetto non controllato |
mixture index of fit
Kullback-Leibler distance relative error estimation minimum divergence inference Neyman Pearson test influence function consistency thematic quality assessment asymptotic normality Hellinger distance nonparametric test Berstein von Mises theorem maximum composite likelihood estimator 2-alternating capacities efficiency corrupted data statistical distance robustness log-linear models representation formula goodness-of-fit general linear model Wald-type test statistics Hölder divergence divergence logarithmic super divergence information geometry sparse robust estimation relative entropy minimum disparity methods MM algorithm local-polynomial regression association models total variation Bayesian nonparametric ordinal classification variables Wald test statistic Wald-type test composite hypotheses compressed data hypothesis testing Bayesian semi-parametric single index model indoor localization composite minimum density power divergence estimator quasi-likelihood Chernoff Stein lemma composite likelihood asymptotic property Bregman divergence robust testing misspecified hypothesis and alternative least-favorable hypotheses location-scale family correlation models minimum penalized ?-divergence estimator non-quadratic distance robust semiparametric model divergence based testing measurement errors bootstrap distribution estimator generalized renyi entropy minimum divergence methods generalized linear model ?-divergence Bregman information iterated limits centroid model assessment divergence measure model check two-sample test Wald statistic |
| ISBN |
9783038979371
3038979376 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346856403321 |
|
Pardo Leandro
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robust Procedures for Estimating and Testing in the Framework of Divergence Measures
| Robust Procedures for Estimating and Testing in the Framework of Divergence Measures |
| Autore | Pardo Leandro |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (333 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Bayes error rate
Bayesian decision making Bhattacharyya coefficient/distance bias and variance trade-off classification composite likelihood composite minimum density power divergence estimators concentration bounds contingency tables convergence rates COVID-19 pandemic CUSUM monitoring density power divergence disparity divergence measures epidemiology estimation of α Friedman-Rafsky test statistic Galton-Watson branching processes with immigration GLM model Hellinger distance Hellinger integrals Henze-Penrose divergence INARCH(1) model INGARCH model integer-valued time series Kullback-Leibler information distance/divergence large deviations MDPDE minimal spanning trees minimum density power divergence estimator minimum pseudodistance estimation mixed-scale data model selection monitoring n/a numerical minimization one-parameter exponential family pearson residuals power divergences rare event probabilities relative entropy Renyi divergences residual adjustment function robust change point test robustness Robustness S-estimation SPC statistical distances time series of counts Tukey's biweight |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557680103321 |
|
Pardo Leandro
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Time Series Modelling
| Time Series Modelling |
| Autore | Weiss Christian H |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (372 p.) |
| Soggetto topico | Humanities |
| Soggetto non controllato |
anomaly detection
bank failures Bell distribution bivariate Poisson INGARCH model cointegration count data count time series counting series CUSUM control chart dispersion test electric power entropy based particle filter estimation ETS extended binomial distribution finance forecasting accuracy Holt-Winters INAR INAR-type time series INGACRCH integer-valued moving average model integer-valued threshold models integer-valued time series Julia programming language kernel density estimation limit theorems local field potential long-range dependence machine learning minimum density power divergence estimator missing data models multivariate count data multivariate data analysis multivariate time series neural network autoregression nonstationary ordinal patterns outliers overdispersion parameter estimation periodic autoregression random survival rate relative entropy robust estimation Romania SARIMA seasonality SETAR spectral matrix state-space model statistical process monitoring Student's t-process subspace algorithms thinning operator time series time series analysis time series of counts transactions unemployment rate unsupervised learning VARMA models volatility fluctuation zero-inflation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557541003321 |
|
Weiss Christian H
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||