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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. | UNINA-9910484485203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Analytical methods in statistics [[electronic resource] ] : AMISTAT, Prague, November 2015 / / edited by Jaromír Antoch, Jana Jurečková, Matúš Maciak, Michal Pešta
| Analytical methods in statistics [[electronic resource] ] : AMISTAT, Prague, November 2015 / / edited by Jaromír Antoch, Jana Jurečková, Matúš Maciak, Michal Pešta |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (IX, 207 p. 12 illus., 4 illus. in color.) |
| Disciplina | 519.2 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Probabilities Statistical Theory and Methods Probability Theory and Stochastic Processes Statistics for Business, Management, Economics, Finance, Insurance |
| ISBN | 3-319-51313-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- A Weighted Bootstrap Procedure for Divergence Minimization Problems (Michel Broniatowski) -- Asymptotic Analysis of Iterated 1-step Huber-skip M-estimators with Varying Cut-offs (Xiyu Jiao and Bent Nielsen).-Regression Quantile and Averaged Regression Quantile Processes (Jana Jurečková) -- Stability and Heavy-tailness (Lev B. Klebanov) -- Smooth Estimation of Error Distribution in Nonparametric Regression under Long Memory (Hira L. Koul and Lihong Wang) -- Testing Shape Constrains in Lasso Regularized Joinpoint Regression (Matúš Maciak) -- Shape Constrained Regression in Sobolev Spaces with Application to Option Pricing (Michal Pešta and Zdeněk Hlávka) -- On Existence of Explicit Asymptotically Normal Estimators in Non-Linear Regression Problems (Alexander Sakhanenko) -- On the Behavior of the Risk of a LASSO-Type Estimator (Silvelyn Zwanzig and M. Rauf Ahmad). |
| Record Nr. | UNINA-9910163148103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||