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Bayesian Adaptive Design for Immunotherapy and Targeted Therapy / Haitao Pan, Ying Yuan
| Bayesian Adaptive Design for Immunotherapy and Targeted Therapy / Haitao Pan, Ying Yuan |
| Autore | Pan, Haitao |
| Pubbl/distr/stampa | Singapore, : Springer, 2023 |
| Descrizione fisica | xi, 262 p. : ill. ; 24 cm |
| Altri autori (Persone) | Yuan, Ying |
| Soggetto topico |
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] |
| Soggetto non controllato |
Adaptive clinical trial design
Delayed outcomes Late-onset outcomes Markov chain Monte Carlo methods Missing data analysis |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279173 |
Pan, Haitao
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| Singapore, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Claims Reserving Methods in Non-life Insurance with Stan : an introduction / Guangyuan Gao
| Bayesian Claims Reserving Methods in Non-life Insurance with Stan : an introduction / Guangyuan Gao |
| Autore | Gao, Guangyuan |
| Pubbl/distr/stampa | Singapore, : Springer, 2018 |
| Descrizione fisica | xii, 205 p. : ill. ; 24 cm |
| Soggetto topico |
91B05 - Risk models (general) [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Basis expansion models
Bayesian claims reserving models Copulas Markov chain Monte Carlo methods Multivariate claims reserving model Non-life insurance claims reserving models Payments per claim incurred method Stan |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125121 |
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Gao, Guangyuan
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| Singapore, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Claims Reserving Methods in Non-life Insurance with Stan : an introduction / Guangyuan Gao
| Bayesian Claims Reserving Methods in Non-life Insurance with Stan : an introduction / Guangyuan Gao |
| Autore | Gao, Guangyuan |
| Pubbl/distr/stampa | Singapore, : Springer, 2018 |
| Descrizione fisica | xii, 205 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 91B05 - Risk models (general) [MSC 2020] |
| Soggetto non controllato |
Basis expansion models
Bayesian claims reserving models Copulas Markov chain Monte Carlo methods Multivariate claims reserving model Non-life insurance claims reserving models Payments per claim incurred method Stan |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00125121 |
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Gao, Guangyuan
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| Singapore, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Mathematical tools for understanding infectious diseases dynamics [[electronic resource] /] / Odo Diekmann, Hans Heesterbeek, and Tom Britton
| Mathematical tools for understanding infectious diseases dynamics [[electronic resource] /] / Odo Diekmann, Hans Heesterbeek, and Tom Britton |
| Autore | Diekmann O |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, : Princeton University Press, 2012 |
| Descrizione fisica | 1 online resource (517 p.) |
| Disciplina | 614.4 |
| Altri autori (Persone) |
HeesterbeekHans <1960->
BrittonTom |
| Collana | Princeton series in theoretical and computational biology |
| Soggetto topico |
Epidemiology - Mathematical models
Communicable diseases - Mathematical models |
| Soggetto non controllato |
Bayesian statistical inference
ICU model Markov chain Monte Carlo method Markov chain Monte Carlo methods ReedІrost epidemic age structure asymptotic speed bacterial infections biological interpretation closed population compartmental epidemic systems consistency conditions contact duration demography dependence disease control disease outbreaks disease prevention disease transmission endemic epidemic models epidemic outbreak epidemic epidemiological models epidemiological parameters epidemiology general epidemic growth rate homogeneous community hospital infections hospital patients host population growth host human social behavior i-states individual states infected host infection transmission infection infectious disease epidemiology infectious disease infectious diseases infectious output infective agent infectivity intensive care units intrinsic growth rate larvae macroparasites mathematical modeling mathematical reasoning maximum likelihood estimation microparasites model construction outbreak situations outbreak pair approximation parasite load parasite population models propagation speed reproduction number separable mixing sexual activity stochastic epidemic model structured population models susceptibility vaccination |
| ISBN |
1-283-57875-1
9786613891204 1-4008-4562-9 |
| Classificazione | SCI008000MAT003000MED022090 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- Part I. The bare bones: Basic issues in the simplest context -- Part II. Structured populations -- Part III. Case studies on inference -- Part IV. Elaborations -- Bibliography -- Index |
| Record Nr. | UNINA-9910785785403321 |
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Diekmann O
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| Princeton, : Princeton University Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Time series analysis and its applications : with R examples / Robert H. Shumway, David S. Stoffer
| Time series analysis and its applications : with R examples / Robert H. Shumway, David S. Stoffer |
| Autore | Shumway, Robert H. |
| Edizione | [4. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiii, 562 p. : ill. ; 24 cm |
| Altri autori (Persone) | Stoffer, David S. |
| Soggetto topico |
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Soggetto non controllato |
ARIMA models
Categorical time series analysis Dynamic linear models GARCH models Long memory series Markov chain Monte Carlo methods Multivariate spectral methods Nonlinear models R package Resampling techniques Spectral Analysis State-space analysis Stochastic volatility Wavelets integration method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123779 |
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Shumway, Robert H.
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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