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Advances in Complex Data Modeling and Computational Methods in Statistics / / edited by Anna Maria Paganoni, Piercesare Secchi
| Advances in Complex Data Modeling and Computational Methods in Statistics / / edited by Anna Maria Paganoni, Piercesare Secchi |
| Autore | Paganoni Anna Maria |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Springer Nature, 2014 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina |
005.1
519 519.5 570.15195 620 |
| Collana | Contributions to Statistics |
| Soggetto topico |
Statistics
Mathematics Biometry Dynamics Nonlinear theories Software engineering Statistical Theory and Methods Applications of Mathematics Biostatistics Applied Dynamical Systems Software Engineering |
| ISBN | 3-319-11149-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Antonino Abbruzzo, Angelo M. Mineo: Inferring networks from high-dimensional data with mixed variables -- 2 Federico Andreis, Fulvia Mecatti: Rounding Non-integer Weights in Bootstrapping Non-iid Samples: actual problem or harmless practice? -- 3 Marika Arena, Giovanni Azzone, Antonio Conte, Piercesare Secchi, Simone Vantini: Measuring downsize reputational risk in the Oil & Gas industry -- 4 Laura Azzimonti, Marzia A. Cremona, Andrea Ghiglietti, Francesca Ieva, Alessandra Menafoglio, Alessia Pini, Paolo Zanini: BARCAMP Technology Foresight and Statistics for the Future -- 5 Francesca Chiaromonte, Kateryna D. Makova: Using statistics to shed light on the dynamics of the human genome: A review -- 6 Nader Ebrahimi, Ehsan S. Soofi and Refik Soyer: Information Theory and Bayesian Reliability Analysis: Recent Advances -- 7 Stephan F. Huckemann: (Semi-) Intrinsic Statistical Analysis on non-Euclidean Spaces -- 8 John T. Kent: An investigation of projective shape space -- 9 Fabio Manfredini, Paola Pucci, Piercesare Secchi, Paolo Tagliolato, Simone Vantini, Valeria Vitelli: Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region -- 10 Cristina Mazzali, Mauro Maistriello, Francesca Ieva, Pietro Barbieri: Methodological issues in the use of administrative databases to study heart failure -- 11 Andrea Mercatant: Bayesian inference for randomized experiments with noncompliance and nonignorable missing data -- 12 Antonio Pulcini, Brunero Liseo: Approximate Bayesian Quantile Regression for Panel Data -- 13 Laura M. Sangalli: Estimating surfaces and spatial fields via regression models with differential regularization. . |
| Record Nr. | UNINA-9910299763803321 |
Paganoni Anna Maria
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| Springer Nature, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Neural Data Science : Data Research Camp 2022, Venice, Italy, July 12–15 / / edited by Antonio Canale, Alessandra Luati, Stefano Mazzuco, Raffaella Piccarreta, Nicola Sartori, Piercesare Secchi
| Advances in Neural Data Science : Data Research Camp 2022, Venice, Italy, July 12–15 / / edited by Antonio Canale, Alessandra Luati, Stefano Mazzuco, Raffaella Piccarreta, Nicola Sartori, Piercesare Secchi |
| Autore | Canale Antonio |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (190 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
LuatiAlessandra
MazzucoStefano PiccarretaRaffaella SartoriNicola SecchiPiercesare |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Machine learning
Machine Learning Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031706387
3031706382 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | D'Angelo, Exploring the challenges of the analysis of the Allen Brain Observatory dataset -- Alfonzetti, Model free estimation of causal effects of different stimuli on neuron activities -- Barile, Assessing neuron response to external stimuli with a data-driven procedure for spike train extraction and GAMLSS regressions -- Bianco, Bayesian signal extraction in noisy uorescence traces -- Mascaretti and Friel, Bayesian Global-Local Deconvolution of Neurological Data -- Burzacchi, A point process approach for the classification of noisy calcium imaging data -- Girardi, Time Series Methodology for Analyzing Calcium ImagingData. |
| Record Nr. | UNINA-9910983323703321 |
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Canale Antonio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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