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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 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
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 electronic resource (256 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
Bregman divergence
f-divergence Jensen-Bregman divergence Jensen diversity Jensen-Shannon divergence capacitory discrimination Jensen-Shannon centroid mixture family information geometry difference of convex (DC) programming conditional Rényi divergence horse betting Kelly gambling Rényi divergence Rényi mutual information relative entropy chi-squared divergence f-divergences method of types large deviations strong data-processing inequalities information contraction maximal correlation Markov chains information inequalities mutual information Rényi entropy Carlson-Levin inequality information measures hypothesis testing total variation skew-divergence convexity Pinsker's inequality Bayes risk statistical divergences minimum divergence estimator maximum likelihood bootstrap conditional limit theorem Bahadur efficiency α-mutual information Augustin-Csiszár mutual information data transmission error exponents dimensionality reduction discriminant analysis statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Divergence Measures |
| Record Nr. | UNINA-9910576871103321 |
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Sason Igal
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Vidyasagar M (Mathukumalli), <1947->
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| Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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-9910828783803321 |
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Vidyasagar M (Mathukumalli), <1947->
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| Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
| New Developments in Statistical Information Theory Based on Entropy and Divergence Measures |
| 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 | 3-03897-937-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346856403321 |
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Pardo Leandro
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 electronic resource (333 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
classification
Bayes error rate Henze-Penrose divergence Friedman-Rafsky test statistic convergence rates bias and variance trade-off concentration bounds minimal spanning trees composite likelihood composite minimum density power divergence estimators model selection minimum pseudodistance estimation Robustness estimation of α monitoring numerical minimization S-estimation Tukey's biweight integer-valued time series one-parameter exponential family minimum density power divergence estimator density power divergence robust change point test Galton-Watson branching processes with immigration Hellinger integrals power divergences Kullback-Leibler information distance/divergence relative entropy Renyi divergences epidemiology COVID-19 pandemic Bayesian decision making INARCH(1) model GLM model Bhattacharyya coefficient/distance time series of counts INGARCH model SPC CUSUM monitoring MDPDE contingency tables disparity mixed-scale data pearson residuals residual adjustment function robustness statistical distances Hellinger distance large deviations divergence measures rare event probabilities |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557680103321 |
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Pardo Leandro
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Time Series Modelling
| Time Series Modelling |
| Autore | Weiss Christian H |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (372 p.) |
| Soggetto topico | Humanities |
| Soggetto non controllato |
time series
anomaly detection unsupervised learning kernel density estimation missing data multivariate time series nonstationary spectral matrix local field potential electric power forecasting accuracy machine learning extended binomial distribution INAR thinning operator time series of counts unemployment rate SARIMA SETAR Holt–Winters ETS neural network autoregression Romania integer-valued time series bivariate Poisson INGARCH model outliers robust estimation minimum density power divergence estimator CUSUM control chart INAR-type time series statistical process monitoring random survival rate zero-inflation cointegration subspace algorithms VARMA models seasonality finance volatility fluctuation Student’s t-process entropy based particle filter relative entropy count data time series analysis Julia programming language ordinal patterns long-range dependence multivariate data analysis limit theorems integer-valued moving average model counting series dispersion test Bell distribution count time series estimation overdispersion multivariate count data INGACRCH state-space model bank failures transactions periodic autoregression integer-valued threshold models parameter estimation models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557541003321 |
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Weiss Christian H
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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