Algebraic and computational aspects of real tensor ranks / / by Toshio Sakata, Toshio Sumi, Mitsuhiro Miyazaki
| Algebraic and computational aspects of real tensor ranks / / by Toshio Sakata, Toshio Sumi, Mitsuhiro Miyazaki |
| Autore | Sakata Toshio |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Tokyo : , : Springer Japan : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (112 p.) |
| Disciplina | 515.63 |
| Collana | JSS Research Series in Statistics |
| Soggetto topico |
Statistics
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics and Computing/Statistics Programs Statistics for Social Sciences, Humanities, Law |
| ISBN | 4-431-55459-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basics of Tensor Rank -- 3-Tensors -- Simple Evaluation Methods of Tensor Rank -- Absolutely Nonsingular Tensors and Determinantal Polynomials -- Maximal Ranks -- Typical Ranks -- Global Theory of Tensor Ranks -- 2 × 2 × · · · × 2 Tensors. |
| Record Nr. | UNINA-9910254062003321 |
Sakata Toshio
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| Tokyo : , : Springer Japan : , : Imprint : Springer, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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Algorithmic advances in Riemannian geometry and applications : for machine learning, computer vision, statistics, and optimization / / edited by Hà Quang Minh, Vittorio Murino
| Algorithmic advances in Riemannian geometry and applications : for machine learning, computer vision, statistics, and optimization / / edited by Hà Quang Minh, Vittorio Murino |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIV, 208 p. 55 illus., 51 illus. in color.) |
| Disciplina | 516.373 |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico |
Pattern perception
Computational intelligence Statistics Computer science—Mathematics Computer science - Mathematics Artificial intelligence Mathematical statistics Pattern Recognition Computational Intelligence Statistics and Computing/Statistics Programs Mathematical Applications in Computer Science Artificial Intelligence Probability and Statistics in Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Bayesian Statistical Shape Analysis on the Manifold of Diffeomorphisms -- Sampling Constrained Probability Distributions using Spherical Augmentation -- Geometric Optimization in Machine Learning -- Positive Definite Matrices: Data Representation and Applications to Computer Vision -- From Covariance Matrices to Covariance Operators: Data Representation from Finite to Infinite-Dimensional Settings -- Dictionary Learning on Grassmann Manifolds -- Regression on Lie Groups and its Application to Affine Motion Tracking -- An Elastic Riemannian Framework for Shape Analysis of Curves and Tree-Like Structures. |
| Record Nr. | UNINA-9910255014703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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Algorithms for Data Science / / by Brian Steele, John Chandler, Swarna Reddy
| Algorithms for Data Science / / by Brian Steele, John Chandler, Swarna Reddy |
| Autore | Steele Brian |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXIII, 430 p. 48 illus., 30 illus. in color.) |
| Disciplina | 001.420151 |
| Soggetto topico |
Data mining
Statistics Computer science—Mathematics Medical informatics Data Mining and Knowledge Discovery Statistics and Computing/Statistics Programs Mathematics of Computing Health Informatics |
| ISBN | 3-319-45797-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Data Mapping and Data Dictionaries -- Scalable Algorithms and Associative Statistics -- Hadoop and MapReduce -- Data Visualization -- Linear Regression Methods -- Healthcare Analytics -- Cluster Analysis -- k-Nearest Neighbor Prediction Functions -- The Multinomial Naive Bayes Prediction Function -- Forecasting -- Real-time Analytics. |
| Record Nr. | UNINA-9910255018603321 |
Steele Brian
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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Analysis of Safety Data of Drug Trials : An Update / / by Ton J. Cleophas, Aeilko H. Zwinderman
| Analysis of Safety Data of Drug Trials : An Update / / by Ton J. Cleophas, Aeilko H. Zwinderman |
| Autore | Cleophas Ton J |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 217 p. 191 illus., 28 illus. in color.) |
| Disciplina | 615.19 |
| Soggetto topico |
Medicine
Statistics Biomedicine, general Statistics and Computing/Statistics Programs |
| ISBN | 3-030-05804-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- General Introduction -- Significant and Insignificant Adverse Effect -- Incidence Ratios and Reporting Ratios of Adverse Effects -- Safety Analysis and the Alternative Hypothesis -- Forest Plots of Adverse Effects -- Graphics of Adverse Effects -- Repeated Measures Methods for Testing Adverse Effects -- Benefit Risk Ratios -- Equivalence, Non-inferiority and Superiority Testing of Adverse Effects -- Part II The Analysis of Dependent Adverse Effects -- Independent and Dependent Adverse Effects. Categorical Predictors Assessed as Dependent Adverse Effects. Adverse Effect of the Dependent Type in Crossover Trial -- Confoundings and Interactions Assessed as Dependent Adverse Effects -- Subgroup Characteristics Assessed as Dependent Adverse Effects -- Random Effects Assessed as Dependent Adverse Effects -- Outliers Assessed as Dependent Adverse Effects -- Index. . |
| Record Nr. | UNINA-9910337945403321 |
Cleophas Ton J
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Analytical Methods in Statistics [[electronic resource] ] : AMISTAT, Liberec, Czech Republic, September 2019 / / edited by Matúš Maciak, Michal Pešta, Martin Schindler
| Analytical Methods in Statistics [[electronic resource] ] : AMISTAT, Liberec, Czech Republic, September 2019 / / edited by Matúš Maciak, Michal Pešta, Martin Schindler |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (X, 156 p. 15 illus., 8 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Probabilities Applied mathematics Engineering mathematics Statistical Theory and Methods Probability Theory and Stochastic Processes Applications of Mathematics Statistics and Computing/Statistics Programs Applied Statistics |
| ISBN | 3-030-48814-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Y. Güney, J. Jurečková and O. Arslan, Averaged Autoregression Quantiles in Autoregressive Model -- J. Kalina and P. Vidnerová, Regression Neural Networks with a Highly Robust Loss Function -- H. L. Koul and P. Geng, Weighted Empirical Minimum Distance Estimators in Berkson Measurement Error Regression Models -- M. Maciak, M. Pešta and S. Vitali, Implied Volatility Surface Estimation via Quantile Regularization -- I. Mizera, A remark on the Grenander estimator -- U. Radojičić and K. Nordhausen, Non-Gaussian Component Analysis: Testing the Dimension of the Signal Subspace -- P. Vidnerová, J. Kalina and Y. Güney, A Comparison of Robust Model Choice Criteria within a Metalearning Study -- S. Zwanzig and R. Ahmad, On Parameter Estimation for High Dimensional Errors-in-Variables Models. |
| Record Nr. | UNISA-996418277103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Angewandte Datenanalyse : Der Bayes'sche Weg / / von Daniel Bättig
| Angewandte Datenanalyse : Der Bayes'sche Weg / / von Daniel Bättig |
| Autore | Bättig Daniel |
| Edizione | [2nd ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Spektrum, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 393 S. 269 Abb., 11 Abb. in Farbe.) |
| Disciplina | 519.5 |
| Collana | Statistik und ihre Anwendungen |
| Soggetto topico |
Statistics
Mathematical models Statistics and Computing/Statistics Programs Statistics for Life Sciences, Medicine, Health Sciences Mathematical Modeling and Industrial Mathematics |
| ISBN | 3-662-54220-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Eine Einführung und ein Überblick -- Wie man Versuche planen kann -- Messen und Kontrollieren -- Das Fundament: Wahrscheinlichkeiten -- Nicht direkt messbare Grössen bestimmen -- Mehrere Grössen und Korrelation -- Messwerte prognostizieren -- Modellwahl: Information und Entropie -- Zwei Modelle zu positiven Grössen -- Streuung und die Normalverteilung -- Explorative Datenanalyse -- Regressionsmodelle -- Regressionsmodelle: Parameter und Prognosen -- Standardfehler, Ranglisten und Modelle. |
| Record Nr. | UNINA-9910484290803321 |
Bättig Daniel
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Spektrum, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied matrix and tensor variate data analysis / / edited by Toshio Sakata
| Applied matrix and tensor variate data analysis / / edited by Toshio Sakata |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Tokyo : , : Springer Japan : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (144 p.) |
| Disciplina | 519.5 |
| Collana | JSS Research Series in Statistics |
| Soggetto topico |
Statistics
Statistics and Computing/Statistics Programs Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Social Sciences, Humanities, Law |
| ISBN | 4-431-55387-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Three-Way Principal Component Analysis with its Applications to Psychology (Kohei Adachi) -- 2 Non-negative matrix factorization and its variants for audio signal processing (Hirokazu Kameoka) -- 3 Generalized Tensor PCA and its Applications to Image Analysis (Kohei Inoue) -- 4 Matrix Factorization for Image Processing (Noboru Murata) -- 5 Arrays Normal Model and Incomplete Array Variate Observations (Deniz Akdemir) -- 6 One-sided Tests for Matrix Variate Normal Distribution (Manabu Iwasa and Toshio Sakata). |
| Record Nr. | UNINA-9910254078403321 |
| Tokyo : , : Springer Japan : , : Imprint : Springer, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Multidimensional Scaling and Unfolding / / by Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
| Applied Multidimensional Scaling and Unfolding / / by Ingwer Borg, Patrick J.F. Groenen, Patrick Mair |
| Autore | Borg Ingwer |
| Edizione | [2nd ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (IX, 122 p. 65 illus.) |
| Disciplina | 001.4226 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Psychometrics Mathematics Visualization Social sciences—Data processing Social sciences—Computer programs Statistics and Computing/Statistics Programs Statistics for Social Sciences, Humanities, Law Statistics for Life Sciences, Medicine, Health Sciences Computational Social Sciences |
| ISBN | 3-319-73471-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 First steps -- 2 The purpose of MDS and Unfolding -- 3 The fit of MDS and Unfolding solutions -- 4 Proximities -- 5 Variants of MDS models -- 6 Confirmatory MDS -- 7 Typical mistakes in MDS -- 8 Unfolding -- 9 MDS algorithms -- 10 MDS Software -- Subject Index. |
| Record Nr. | UNINA-9910300120503321 |
Borg Ingwer
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied multiple imputation [[electronic resource] ] : advantages, pitfalls, new developments and applications in R / / by Kristian Kleinke, Jost Reinecke, Daniel Salfrán, Martin Spiess
| Applied multiple imputation [[electronic resource] ] : advantages, pitfalls, new developments and applications in R / / by Kristian Kleinke, Jost Reinecke, Daniel Salfrán, Martin Spiess |
| Autore | Kleinke Kristian |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 292 p. 20 illus., 3 illus. in color.) |
| Disciplina | 001.422 |
| Collana | Statistics for Social and Behavioral Sciences |
| Soggetto topico |
Statistics
Psychology—Methodology Psychological measurement R (Computer program language) Statistics for Social Sciences, Humanities, Law Psychological Methods/Evaluation Statistics for Life Sciences, Medicine, Health Sciences Statistical Theory and Methods Statistics and Computing/Statistics Programs |
| ISBN | 3-030-38164-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction and Basic Concepts -- 2 Missing Data Mechanism and Ignorability -- 3 Missing Data Methods -- 4 Multiple Imputation: Theory -- 5 Multiple Imputation: Application -- 6 Multiple Imputation: New Developments -- A Appendices -- Index. |
| Record Nr. | UNISA-996418264703316 |
Kleinke Kristian
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Applied Predictive Modeling / / by Max Kuhn, Kjell Johnson
| Applied Predictive Modeling / / by Max Kuhn, Kjell Johnson |
| Autore | Kuhn Max |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIII, 600 p. 203 illus., 153 illus. in color.) |
| Disciplina | 519.5 |
| Soggetto topico |
Statistics
Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Statistics, general |
| ISBN | 1-4614-6849-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | General Strategies -- Regression Models -- Classification Models -- Other Considerations -- Appendix -- References -- Indices. |
| Record Nr. | UNINA-9910437861803321 |
Kuhn Max
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| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Lo trovi qui: Univ. Federico II | ||
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