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Minimum Gamma-Divergence for Regression and Classification Problems / / by Shinto Eguchi
| Minimum Gamma-Divergence for Regression and Classification Problems / / by Shinto Eguchi |
| Autore | Eguchi Shinto |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (212 pages) |
| Disciplina | 519.5 |
| Collana | JSS Research Series in Statistics |
| Soggetto topico |
Statistics
Stochastic models Mathematical statistics Machine learning Regression analysis Biometry Statistical Theory and Methods Stochastic Modelling in Statistics Parametric Inference Machine Learning Linear Models and Regression Biostatistics Estadística Estadística matemàtica Aprenentatge automàtic Anàlisi de regressió Biometria Models lineals (Estadística) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 9789819788804 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Framework of gamma-divergence -- 2.1. Scale invariance -- 2.2 GM divergence and HM divergence -- 3. Minimum divergence methods for generalized linear models -- 3.1. Bernoulli logistic model -- 3.2. Poisson log-linear model -- 3.3. Poisson point process model -- 4. Minimum divergence methods in machine leaning -- 4.1. Multi-class AdaBoost -- 4.2. Boltzmann machine -- 5. gamma-divergence for real valued functions -- 6. Discussion. |
| Record Nr. | UNINA-9910986137903321 |
Eguchi Shinto
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Regression : Models, Methods and Applications / / by Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian D. Marx
| Regression : Models, Methods and Applications / / by Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian D. Marx |
| Edizione | [2nd ed. 2021.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (757 pages) |
| Disciplina | 519.536 |
| Soggetto topico |
Regression analysis
Statistics Quantitative research Nonparametric statistics Mathematical statistics Linear Models and Regression Applied Statistics Data Analysis and Big Data Non-parametric Inference Parametric Inference Statistical Theory and Methods |
| ISBN |
9783662638828
3662638827 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Regression Models -- The Classical Linear Model -- Extensions of the Classical Linear Model -- Generalized Linear Models -- Categorical Regression Models -- Mixed Models -- Nonparametric Regression -- Structured Additive Regression -- Distributional Regression Models. |
| Record Nr. | UNINA-9910552734003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Research Papers in Statistical Inference for Time Series and Related Models : 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 : 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 |
9789819908035
9819908035 |
| 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 Significance and the PHC Curve / / by Hideki Toyoda
| Statistical Significance and the PHC Curve / / by Hideki Toyoda |
| Autore | Toyoda Hideki <1961-> |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (158 pages) |
| Disciplina | 519.56 |
| Soggetto topico |
Social sciences - Statistical methods
Statistics Markov processes Mathematical statistics Psychometrics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistical Theory and Methods Markov Process Bayesian Inference Parametric Inference |
| ISBN |
9789819777488
9819777488 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistical Significance is Merely a Necessary Condition -- Academic Journals Filled with Redundant Papers -- Sample size must be determined in advance along with the evidence provided -- Does the Fact of Deciding in Advance Guarantee Permanence -- The Probability of a Research Hypothesis Being Correct. |
| Record Nr. | UNINA-9910899898603321 |
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Toyoda Hideki <1961->
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistics with Posterior Probability and a PHC Curve / / by Hideki Toyoda
| Statistics with Posterior Probability and a PHC Curve / / by Hideki Toyoda |
| Autore | Toyoda Hideki |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (412 pages) |
| Disciplina | 300.727 |
| Soggetto topico |
Social sciences - Statistical methods
Statistics Markov processes Mathematical statistics Psychometrics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistical Theory and Methods Markov Process Bayesian Inference Parametric Inference Estadística matemàtica Probabilitats |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789819730940
9789819730933 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | chapter01 Data summary and theoretical distribution -- chapter02 Posterior Distribution and Bayes' Theorem -- chapter03 Inference about a normal distribution -- chapter04 Generated quantities -- chapter05 phc curve and ROPE -- chapter06 Inference about two normal distributions -- chapter07 Group difference between two independent groups -- chapter08 Bivariate and multivariate data -- chapter09 difference score of paired two groups -- chapter10 Independent one-factor analysis -- chapter11 Independent two-factor analysis -- chapter12 Binomial distribution model -- chapter13 Multinomial distribution model -- chapter14 simple regression model -- chapter15 multiple regression model -- chapter16 Interpreting partial regression coefficients -- chapter17 Logistic regression / Meta-analysis -- chapter18 Poisson model / Log-linear model -- chapter19 Independent one-factor analysis with various distributions -- chapter20 Analysis of covariance / Propensity score -- chapter21 Advanced experimental design -- chapter22 Hierarchical linear model. |
| Record Nr. | UNINA-9910865275803321 |
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Toyoda Hideki
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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