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Bayesian adaptive design for immunotherapy and targeted therapy [[electronic resource] /] / by Haitao Pan, Ying Yuan
| Bayesian adaptive design for immunotherapy and targeted therapy [[electronic resource] /] / by Haitao Pan, Ying Yuan |
| Autore | Pan Haitao |
| Edizione | [First edition 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XI, 262 p. 58 illus., 50 illus. in color.) : illustrations |
| Disciplina | 570.15195 |
| Soggetto topico |
Biometry
Biostatistics Clinical Trial Protocols as Topic Adaptive Clinical Trials as Topic Bayes Theorem Immunoteràpia Dianes farmacològiques Assaigs clínics Estadística matemàtica Estadística bayesiana |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-8176-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Adaptive Design and Delayed Outcomes -- Basics of Bayesian Statistics -- Phase I Dose-finding Design -- Phase II Design for Interim Monitoring -- Phase I-II Dose-finding Design -- Drug Combination Trial Design -- Conclusion. |
| Record Nr. | UNINA-9910717420903321 |
Pan Haitao
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Research Papers in Statistical Inference for Time Series and Related Models [[electronic resource] ] : Essays in Honor of Masanobu Taniguchi / / edited by Yan Liu, Junichi Hirukawa, Yoshihide Kakizawa
| Research Papers in Statistical Inference for Time Series and Related Models [[electronic resource] ] : Essays in Honor of Masanobu Taniguchi / / edited by Yan Liu, Junichi Hirukawa, Yoshihide Kakizawa |
| Autore | Liu Yan |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (591 pages) |
| Disciplina | 519.55 |
| Altri autori (Persone) |
HirukawaJunichi
KakizawaYoshihide |
| Soggetto topico |
Time-series analysis
Mathematical statistics Nonparametric statistics Time Series Analysis Parametric Inference Non-parametric Inference Mathematical Statistics Estadística matemàtica Anàlisi de sèries temporals |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-9908-03-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Frequency domain empirical likelihood method for infinite variance models -- Chapter 2. Diagnostic testing for time series -- Chapter 3. Statistical Inference for Glaucoma Detection -- Chapter 4. On Hysteretic Vector Autoregressive Model with Applications -- Chapter 5. Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression -- Chapter 6. Exact topological inference on resting-state brain networks -- Chapter 7. An Introduction to Geostatistics -- Chapter 8. Relevant change points in high dimensional time series -- Chapter 9. Adaptiveness of the empirical distribution of residuals in semi-parametric conditional location scale models -- Chapter 10. Standard testing procedures for white noise and heteroskedasticity -- Chapter 11. Estimation of Trigonometric Moments for Circular Binary Series -- Chapter 12. Time series analysis with unsupervised learning -- Chapter 13. Recovering the market volatility shocks in high-dimensional time series -- Chapter 14. Asymptotic properties of mildly explosive processes with locally stationary disturbance -- Chapter 15. Multi-Asset Empirical Martingale Price Estimators for Financial Derivatives -- Chapter 16. Consistent Order Selection for ARFIMA Processes -- Chapter 17. Recursive asymmetric kernel density estimation for nonnegative data -- Chapter 18. Fitting an error distribution in some heteroscedastic time series models -- Chapter 19. Symbolic Interval-Valued Data Analysis for Time Series Based on Auto-Interval-Regressive Models -- Chapter 20. ROBUST LINEAR INTERPOLATION AND EXTRAPOLATION OF STATIONARY TIME SERIES -- Chapter 21. Non Gaussian models for fMRI data -- Chapter 22. Robust inference for ordinal response models -- Chapter 23. Change point problems for diffusion processes and time series models -- Chapter 24. Empirical likelihood approach for time series -- Chapter 25. Exploring the Dependence Structure Between Oscillatory Activities in Multivariate Time Series -- Chapter 26. Projection-based nonparametric goodness-of-fit testing with functional data. |
| Record Nr. | UNINA-9910728935303321 |
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Liu Yan
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Inference Based on Kernel Distribution Function Estimators [[electronic resource] /] / by Rizky Reza Fauzi, Yoshihiko Maesono
| Statistical Inference Based on Kernel Distribution Function Estimators [[electronic resource] /] / by Rizky Reza Fauzi, Yoshihiko Maesono |
| Autore | Fauzi Rizky Reza |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (103 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) | MaesonoYoshihiko |
| Collana | JSS Research Series in Statistics |
| Soggetto topico |
Statistics
Nonparametric statistics Mathematical statistics Statistical Theory and Methods Applied Statistics Non-parametric Inference Mathematical Statistics Estadística matemàtica Funcions de Kernel |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato | Mathematics |
| ISBN | 981-9918-62-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Kernel density estimator -- Kernel distribution estimator -- Quantile estimation -- Nonparametric tests -- Mean residual life estimator. |
| Record Nr. | UNINA-9910728952603321 |
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Fauzi Rizky Reza
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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