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Artificial intelligence, big data and data science in statistics : challenges and solutions in environmetrics, the natural sciences and technology / / Ansgar Steland, Kwok-Leung Tsui, editors
| Artificial intelligence, big data and data science in statistics : challenges and solutions in environmetrics, the natural sciences and technology / / Ansgar Steland, Kwok-Leung Tsui, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (378 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Big data Mathematical statistics - Data processing Intel·ligència artificial Dades massives Estadística matemàtica Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-07155-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910631085803321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence, big data and data science in statistics : challenges and solutions in environmetrics, the natural sciences and technology / / Ansgar Steland, Kwok-Leung Tsui, editors
| Artificial intelligence, big data and data science in statistics : challenges and solutions in environmetrics, the natural sciences and technology / / Ansgar Steland, Kwok-Leung Tsui, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (378 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Big data Mathematical statistics - Data processing Intel·ligència artificial Dades massives Estadística matemàtica Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-07155-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996499870303316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Stochastic Models, Statistics and Their Applications [[electronic resource] ] : Dresden, Germany, March 2019 / / edited by Ansgar Steland, Ewaryst Rafajłowicz, Ostap Okhrin
| Stochastic Models, Statistics and Their Applications [[electronic resource] ] : Dresden, Germany, March 2019 / / edited by Ansgar Steland, Ewaryst Rafajłowicz, Ostap Okhrin |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (449 pages) |
| Disciplina | 519.2 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Probabilities Big data Econometrics Statistical Theory and Methods Probability Theory and Stochastic Processes Big Data Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-030-28665-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART 1: Plenary Lectures: W. Stute, Stairway to hell -- I. Gijbels, R. Karim, A. Verhasselt, Quantile estimation in a generalized asymmetric distributional setting -- M. Ljungdahl, M. Podolskij, A note on parametric estimation of Levy moving average processes -- PART 2: Theory and Related Topics: K. Knight, A continuous-time iteratively reweighted least squares algorithm for $L_\infty$ estimation -- M. Bibinger, M. Trabs, On central limit theorems for power variations of the solution to the stochastic heat equation -- P. Gapeev, Perpetual dual American barrier options for short sellers -- P. Lachout, A criterion for weak convergence in vector Skorokhod spaces -- E. Liebscher, On combining star-shaped distributions and copulas -- E. Skubalska-Rafajlowicz, Stability of the Random-Projection Based Classifiers. The Bayes error perspective -- A. Ishii, K. Yata, M. Aoshima, A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model -- Z. Hlávka, M. Huskova, Doubly paired change-point analysis -- B. Darkhovsky, A. Piryatinska, Detection of changes in binary sequences -- Q. Liu, R. Zhang, Y. Xie, Distributed Change Detection via Average Consensus over Networks -- A. Steland, E. Rafajłowicz, The Hotelling-like T^2 control chart modified for detecting changes in images having the matrix normal distribution -- S. Vogel, Universal Confidence Sets for Solutions of Stochastic Optimization Problems - A Contribution to Quantification of Uncertainty -- Y. Liu, J. Wishart -- Local polynomial $M$-estimation in random design regression with dependent errors -- Ł. Smaga, Projection-based repeated measures analysis for functional data -- C. Weiß, On the Sample Coefficient of Nominal Variation -- B. Aleksandrov, A Negative-Binomial Index Considering Dispersion and Zero Probability -- PART 3: Stochastic Models, Methods and Simulations: J. P. Burgard, J. Krause, H. Merkle, R. Münnich, S. Schmaus, Conducting a Dynamic Microsimulation for Care Research: Data Generation, Transition Probabilities and Sensitivity Analysis -- M. E. Silva, I. Silva, C. Torres, Modelling overdispersion with integer-valued moving average processes -- E. Gonçalves, N. Mendes-Lopes, Zero-distorted Compound Poisson INGARCH models -- T. A. Möller, An Application of the Max-INAR(1) Model to Counts of Cinema Visitors -- J. Bracher, A new INARMA(1, 1) model with Poisson marginal -- S. Büscher, M. Batram, D. Bauer, Using motifs for population synthesis in multi-agent mobility simulation models -- U. Falkenhagen, W. Kössler, Hans-J. Lenz, A likelihood ratio test for inlier detection -- PART 4: Applications and Algorithms: A. Tordeux, M. Chraibi, A. Seyfried, A. Schadschneider, Artificial neural networks predicting pedestrian dynamics in complex buildings -- A. Gramacki, M. Kowal, M. Mazurkiewicz, J. Gramacki, A. Plawiak-Mowna, Automatic breast cancer diagnostics based on statistical analysis of shape and texture features of individual cell nuclei -- P. Sliwinski, P. Wachel, A. Galeziowski, Stochastic framework for contrast-detection autofocusing -- S. Krömer, W. Stummer, A new toolkit for mortality data analytics -- T. Górecki, P. Piasecki, A comprehensive comparison of distance measures for time series classification -- A. Homburg, Criteria to Validate Count Data Model Selection -- M. Romaniuk, On Some Applications of Simulations in Estimation of Maintenance Costs and in Statistical Tests for Fuzzy Settings. |
| Record Nr. | UNINA-9910349326903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Stochastic Models, Statistics and Their Applications [[electronic resource] ] : Wrocław, Poland, February 2015 / / edited by Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski
| Stochastic Models, Statistics and Their Applications [[electronic resource] ] : Wrocław, Poland, February 2015 / / edited by Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (478 p.) |
| Disciplina | 519.2 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Probabilities Mathematical statistics Statistical Theory and Methods Probability Theory and Stochastic Processes Probability and Statistics in Computer Science Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-319-13881-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preliminary: Part I: Stochastic Models -- Part II: Statistics -- Part III: Applications. |
| Record Nr. | UNINA-9910299765303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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