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2021-2022 MATRIX Annals / / edited by David R. Wood, Jan de Gier, Cheryl E. Praeger
2021-2022 MATRIX Annals / / edited by David R. Wood, Jan de Gier, Cheryl E. Praeger
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (905 pages)
Disciplina 510
Collana MATRIX Book Series
Soggetto topico Mathematics
Statistics
Estadística
Matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 9783031474170
9783031474163
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Refereed Articles -- MATRIX--MFO Tandem Workshop: Invariants and Structures in Low-Dimensional Topology -- A new family of minimal ideal triangulations of cusped hyperbolic 3--manifolds -- MATRIX Program: Groups and Geometries one complex dimensional moduli spaces of hyperbolic manifolds and orbifolds: Kleinian groups and the generalised Riley slices -- MATRIX Program: Quantum Curves, Integrability and Cluster Algebras -- First properties of supermanifolds, their functor of points and the DeWitt topology -- MATRIX Program: 2D Supersymmetric Theories and Related Topics -- On Super Non-Abelian T-Duality of Symmetric and Semi-Symmetric Coset Sigma Models -- On Twisted Elliptic General Minkowski and (A)dS ground states in general 2d dilaton gravity' -- $2d$ Sigma Models and Geometry -- MATRIX Program: Structural Graph Theory Downunder II -- Product Structure of Graph Classes with Bounded Treewidth -- Notes on Aharoni's rainbow cycle conjecture -- Marc Distel, David R. Wood\newline ``Tree-Partitions with Bounded Degree Trees -- Treewidth, Circle Graphs and Circular Drawings -- MATRIX Program: Hyperbolic Differential Equations in Geometry and Physics -- Bulk-boundary correspondences and unique continuation in asymptotically Anti-de Sitter spacetimes -- Propagation of Singularities for the Wave Equation -- MATRIX Program: Mathematics of Tissue Dynamics -- Multiphase models for moving boundary problems in biology -- MATRIX Program: Mathematics of Risk 2022 -- Asian Option Pricing via Laguerre Quadrature: A Diffusion Kernel Approach -- On Dupire Formula and Diffusion with Given Marginals -- Multi-Factor Polynomial Diffusion Models and Inter-Temporal Futures Dynamics -- On Autoregressive Measurement Errors in a Two-Factor Model -- On extension of the Markov chain approximation method for computing Feynman–Kac type expectations -- On ruin probabilities in a Sparre Andersen type model in the presence of risky investments and random switching -- On some asymptotic expansions of skew diffusions -- Fractional Growth Portfolio Investment -- Lévy bandits under Poissonian decision times -- Entrance laws for continuous-state nonlinear branching processes coming down from infinity -- The matrix sequential probability ratio test and multivariate ruin theory -- Bayesian Parameter Estimation for Poisson AR Model -- Nonparametric {B}ayesian inference for stochastic processes with piecewise constant priors -- Quickest Changepoint Detection in General Multistream Stochastic Models: Recent Results, Applications and Future Challenges -- MATRIX Program: Mathematics of the Interactions between Brain Structure and Brain Functions -- Mathematical Foundations for Measurement of Communication Efficiency in the Human Brain -- k-Means clustering in EEG (brain waves) timeseries -- IBS-CGP & MATRIX Workshop: Symplectic Topology -- Analysis of pseudoholomorphic curves on symplectization: Revisit via contact instantons -- High-jet Relations of the Heat Kernel: Embedding Map and Applications -- Other ContributedArticles.-MATRIX-MFO Tandem Workshop: Invariants and Structures in Low-Dimensional Topology -- Pachner's Theorem -- MATRIX Program: 2D Supersymmetric Theories and Related Topics -- Vacuum Structures Revisited -- MATRIX Program: Theory and Applications of Stable Polynomials -- A large class of conjecturally stable chromatic symmetric functions -- A problem about virtual polytopes -- A conjecture on spectral sparsification with respect to hyperbolicity cones -- Topological Narayana polynomials and interlacing conjectures.
Record Nr. UNINA-9910865269403321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
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Advanced Methods in Statistics, Data Science and Related Applications : SIS 2022, Caserta, Italy, June 22–24 / / edited by Matilde Bini, Antonio Balzanella, Lucio Masserini, Rosanna Verde
Advanced Methods in Statistics, Data Science and Related Applications : SIS 2022, Caserta, Italy, June 22–24 / / edited by Matilde Bini, Antonio Balzanella, Lucio Masserini, Rosanna Verde
Autore Bini Matilde
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (321 pages)
Disciplina 001.422
005.7
Altri autori (Persone) BalzanellaAntonio
MasseriniLucio
VerdeRosanna
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Quantitative research
Machine learning
Data Analysis and Big Data
Machine Learning
Investigació quantitativa
Aprenentatge automàtic
Dades massives
Estadística
Soggetto genere / forma Llibres electrònics
ISBN 3-031-65699-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto C. Marini, and V. Nicolardi, Administrative database and official statistics: an IT and Statistical procedure -- F. Mariani, M. Ciommi, M. C. Recchioni, Giuseppe Ricciardo Lamonica and Francesco Maria Chelli, Working with Non-Compensatory Composite Indicators: A Case Study Based on SDG for Mediterranean Countries -- D. Bondonio and P. Chirico, Intertemporal statistical matching for causal inference in the context of multivariate time-series data -- C. Rosanna, G. M. Gabriella and Z. Emma, Scaling UX-AI products: CFA & PLS-SEM comparison -- L. Pagani, M. C. Zanarotti and A. Habus, The construction of a Heat Vulnerability Index by means of the Composite Indicator approach: a case study for Friuli Venezia Giulia Region, Italy -- C. Pangallo, Oliviero Casacchia e Corrado Polli, The manual, communicative and quantitative abilities of native and foreign workers according to their level of education in Italy -- E. Dzuverovic and E. Otranto, Nonlinear HAR Models and Nonlinear Least Squares: Asymptotic Properties -- P. Quatto and E. Ripamonti, Measuring strength of randomized clinical trials -- A. Bianchino, Armando d’Aniello, Daniela Fusco, Improving administrative data quality on tourism using Big Data -- R. Fontana and F. Rapallo, Robust designs against data loss: A general approach -- S. D. Tomarchio, A. Punzo and A. Maruotti, Matrix-variate hidden Markov models: an application to employment data -- F. Bitonti, Integrating structuralism and diffusionism to explain the new Italian emigration -- F. Bitonti1, A. Mazza, Spatial explorative analysis of thyroid cancer in Sicilian volcanic areas -- I. Sciascia, Adjusted calibration estimators for sparse spatial data -- N. Trendafilov and M. Gallo and V. Simonacci and V. Todorov, Discrimination via principal components -- G. Greca, G. Cinquegrana and G. Fosco, A regional analysis of the efficiency by energy producers in Italy -- M. Scioni and P. Annoni, An Alternative Aggregation Function for the UNDP Human Development Index -- F. Attili and M. Costa, Decomposing inequality after asymmetric shocks: an analysis of Italian household consumption -- D. Fusco, M. Antonietta Liguori, V. Moretti, F. G. Truglia, Spatial statistics analysis using microdata: an application agricultural sector -- I. Primerano, G. Giordano, M. Prosperina Vitale, Exploring factors affecting the evaluation of online learning services. Evidence from a social science bachelor’s degree -- M. Zannella, A. De Rose, E. Aloè, M. Corsi, Paid and Unpaid Work in Pandemic Times. A Study on the Division of Household Labour and the Subjective Well-being of Working Mothers in Italy -- G. Bove, Measures of interrater agreement for quantitative scales based on the standard deviation -- D. Giuliani, M. Michela Dickson, F. Santi, G. Espa, An empirical tool to classify industries by regional concentration and spatial polarization -- B. Guindani, D. Ardagna and A. Guglielmi, Bayesian optimization for cloud resource management through machine learning.
Record Nr. UNINA-9910897974903321
Bini Matilde  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
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Advanced Portfolio Optimization : A Cutting-edge Quantitative Approach / / by Dany Cajas
Advanced Portfolio Optimization : A Cutting-edge Quantitative Approach / / by Dany Cajas
Autore Cajas Dany
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XV, 503 p. 216 illus., 186 illus. in color.)
Disciplina 300.727
Collana Mathematics and Statistics Series
Soggetto topico Statistics
Data mining
Machine learning
Valuation
Financial risk management
Statistics in Business, Management, Economics, Finance, Insurance
Data Mining and Knowledge Discovery
Machine Learning
Investment Appraisal
Risk Management
Estadística
Mineria de dades
Aprenentatge automàtic
Valoració
Gestió del risc
Estadística econòmica
Soggetto genere / forma Llibres electrònics
ISBN 9783031843044
3031843045
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1 Introduction -- Chapter 2 Why use Python? -- Part I Parameter Estimation -- Chapter 3 Sample Based Methods -- Chapter 4 Risk Factors Models -- Chapter 5 Black Litterman Models -- Chapter 7 Convex Risk Measures -- Chapter 8 Return-Risk Trade-Off Optimization -- Chapter 9 Real Features Constraints -- Chapter 10 Risk Parity Optimization -- Chapter 11 Robust Optimization -- Part III Machine Learning Portfolio Optimization -- Chapter 12 Hierarchical Clustering Portfolios -- Chapter 13 Graph Theory Based Portfolios -- Part IV Backtesting -- Chapter 14 Generation of Synthetic Data -- Chapter 15 Backtesting Process -- Part V Appendix -- Chapter A Linear Algebra -- Chapter B Convex Optimization -- Chapter C Mixed Integer Programming.
Record Nr. UNINA-9910999679103321
Cajas Dany  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Statistical Methods / / by Sahana Prasad
Advanced Statistical Methods / / by Sahana Prasad
Autore Prasad Sahana
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (238 pages)
Disciplina 001.422
Soggetto topico Statistics
Regression analysis
Time-series analysis
Statistical Theory and Methods
Linear Models and Regression
Time Series Analysis
Estadística
Anàlisi de regressió
Anàlisi de sèries temporals
Soggetto genere / forma Llibres electrònics
ISBN 9789819972579
9819972574
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Advanced Concepts in Regression -- 2. Index Numbers -- 3. Time Series -- 4. Vital Statistics.
Record Nr. UNINA-9910857789503321
Prasad Sahana  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
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Advances in Quantitative Approaches to Sociological Issues / / edited by Miki Nakai
Advances in Quantitative Approaches to Sociological Issues / / edited by Miki Nakai
Autore Nakai Miki
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (225 pages)
Disciplina 300.727
Collana Behaviormetrics: Quantitative Approaches to Human Behavior
Soggetto topico Social sciences - Statistical methods
Statistics
Labor economics
Social policy
Political science
Economics
Culture
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistics in Business, Management, Economics, Finance, Insurance
Labor Economics
Social Policy
Political Science
Cultural Economics
Estadística
Metodologia de les ciències socials
Política social
Soggetto genere / forma Llibres electrònics.
ISBN 981-9671-09-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Foreword -- 1 Modeling the structure of social phenomena -- 2 Discrete latent variable models -- 3 High-dimensional data analysis -- 4 Approaches to analysis with missing data -- 5 Longitudinal data analysis -- 6 Attitudinal data analysis -- 7 Time series and cross-national comparisons of occupational segregation -- 8 Visualization of social mechanisms -- 9 Statistical approaches to the characteristics of the occupational structure.
Record Nr. UNINA-9911011818403321
Nakai Miki  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
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Advances in statistical analysis
Advances in statistical analysis
Pubbl/distr/stampa Berlin, : Springer-Verlag, ©2007-
Descrizione fisica 1 online resource
Soggetto topico Statistics
Economics - Statistical methods
Statistique
Estadística
Soggetto genere / forma Periodicals.
Revistes electròniques.
ISSN 1863-818X
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti AStA
Record Nr. UNINA-9910145606603321
Berlin, : Springer-Verlag, ©2007-
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American Statistical Association bulletin
American Statistical Association bulletin
Pubbl/distr/stampa Washington, D.C., : American Statistical Association, 1938-
Disciplina 310
Soggetto topico Estadística
Revistes electròniques
Soggetto genere / forma periodicals.
Periodicals.
Périodiques.
Soggetto non controllato Statistics - General
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti ASA bulletin
Record Nr. UNINA-9910140259603321
Washington, D.C., : American Statistical Association, 1938-
Materiale a stampa
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Annals of the Institute of Statistical Mathematics
Annals of the Institute of Statistical Mathematics
Pubbl/distr/stampa Tokyo, : [Institute of Statistical Mathematics], [1949]-
Disciplina 519.905
Soggetto topico Mathematical statistics
Statistics
Statistics as Topic
Statistique mathématique
Statistiques
Statistik
Zeitschrift
Online-Ressource
Estadística matemàtica
Estadística
Soggetto genere / forma Periodicals.
Revistes electròniques.
ISSN 1572-9052
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti AISM
Record Nr. UNINA-9910147256603321
Tokyo, : [Institute of Statistical Mathematics], [1949]-
Materiale a stampa
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Applied Linear Algebra, Probability and Statistics : A Volume in Honour of C. R. Rao and Arbind K. Lal / / edited by Ravindra B. Bapat, Manjunatha Prasad Karantha, Stephen J. Kirkland, Samir Kumar Neogy, Sukanta Pati, Simo Puntanen
Applied Linear Algebra, Probability and Statistics : A Volume in Honour of C. R. Rao and Arbind K. Lal / / edited by Ravindra B. Bapat, Manjunatha Prasad Karantha, Stephen J. Kirkland, Samir Kumar Neogy, Sukanta Pati, Simo Puntanen
Autore Bapat R. B
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (540 pages)
Disciplina 512.5
Altri autori (Persone) KaranthaManjunatha Prasad
KirklandStephen J
NeogySamir Kumar
PatiSukanta
PuntanenSimo
Collana Indian Statistical Institute Series
Soggetto topico Algebras, Linear
Probabilities
Statistics
Graph theory
Stochastic processes
Game theory
Linear Algebra
Probability Theory
Statistical Theory and Methods
Graph Theory
Stochastic Processes
Game Theory
Àlgebra lineal
Probabilitats
Estadística
Soggetto genere / forma Llibres electrònics
ISBN 9789819923106
9819923107
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. On Some Matrix Versions of Covariance, Harmonic Mean and other Inequalities: An Overview -- Chapter 2. The Impact of Professor C. R. Rao's Research used in solving problems in Applied Probability -- Chapter 3. Upper ounds for the Euclidean distances between the BLUEs under the partitioned linear fixed model and the corresponding mixed model -- Chapter 4. Nucleolus Computation for some Structured TU Games via Graph Theory and Linear Algebra -- Chapter 5. From Linear System of Equations to Artificial Intelligence - The evolution Journey of Computer Tomographic Image Reconstruction Algorithms -- Chapter 6. Shapley Value and other Axiomatic Extensions to Shapley Value -- Chapter 7. An Accelerated Block Randomized Kaczmarz Methos -- Chapter 8. Nullity of Graphs - A Survey and Some New Results -- Chapter 9. Some Observations on Algebraic Connectivity of Graphs -- Chapter 10. Orthogonality for iadjoints f Operators -- Chapter 11. Permissible covariance structures for simultaneous retention of BLUEs in small and big linear models -- Chapter 12. On some Special Matrices and its Applications in Linear Complementarity Problem -- Chapter 3. On Nearest Matrix with Partially Specified Eigen Structure -- Chapter 14. Equality of BLUEs for Full, Small, and Intermediate Linear Models under Covariance Change, with links to Data Confidentiality and Encryption.-Chapter 15. Statistical Inference for Middle Censored Data with Applications. etc.
Record Nr. UNINA-9910736008903321
Bapat R. B  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
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Applied logistic regression [[electronic resource] ] : David W. Hosmer, Stanley Lemeshow, Rodney X. Sturdivant
Applied logistic regression [[electronic resource] ] : David W. Hosmer, Stanley Lemeshow, Rodney X. Sturdivant
Autore Hosmer David W
Edizione [3rd ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2013
Descrizione fisica 1 online resource (528 p.)
Disciplina 519.5/36
Altri autori (Persone) LemeshowStanley
SturdivantRodney X
Collana Wiley series in probability and statistics
Soggetto topico Regression analysis
Anàlisi de regressió
Anàlisi multivariable
Estadística
Soggetto genere / forma Llibres electrònics
ISBN 1-118-54838-8
1-118-54835-3
1-299-40240-2
1-118-54839-6
Classificazione MAT029030
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Logistic Regression; Contents; Preface to the Third Edition; 1 Introduction to the Logistic Regression Model; 1.1 Introduction; 1.2 Fitting the Logistic Regression Model; 1.3 Testing for the Significance of the Coefficients; 1.4 Confidence Interval Estimation; 1.5 Other Estimation Methods; 1.6 Data Sets Used in Examples and Exercises; 1.6.1 The ICU Study; 1.6.2 The Low Birth Weight Study; 1.6.3 The Global Longitudinal Study of Osteoporosis in Women; 1.6.4 The Adolescent Placement Study; 1.6.5 The Burn Injury Study; 1.6.6 The Myopia Study; 1.6.7 The NHANES Study
1.6.8 The Polypharmacy StudyExercises; 2 The Multiple Logistic Regression Model; 2.1 Introduction; 2.2 The Multiple Logistic Regression Model; 2.3 Fitting the Multiple Logistic Regression Model; 2.4 Testing for the Significance of the Model; 2.5 Confidence Interval Estimation; 2.6 Other Estimation Methods; Exercises; 3 Interpretation of the Fitted Logistic Regression Model; 3.1 Introduction; 3.2 Dichotomous Independent Variable; 3.3 Polychotomous Independent Variable; 3.4 Continuous Independent Variable; 3.5 Multivariable Models; 3.6 Presentation and Interpretation of the Fitted Values
3.7 A Comparison of Logistic Regression and Stratified Analysis for 2 x 2 TablesExercises; 4 Model-Building Strategies and Methods for Logistic Regression; 4.1 Introduction; 4.2 Purposeful Selection of Covariates; 4.2.1 Methods to Examine the Scale of a Continuous Covariate in the Logit; 4.2.2 Examples of Purposeful Selection; 4.3 Other Methods for Selecting Covariates; 4.3.1 Stepwise Selection of Covariates; 4.3.2 Best Subsets Logistic Regression; 4.3.3 Selecting Covariates and Checking their Scale Using Multivariable Fractional Polynomials; 4.4 Numerical Problems; Exercises
5 Assessing the Fit of the Model5.1 Introduction; 5.2 Summary Measures of Goodness of Fit; 5.2.1 Pearson Chi-Square Statistic, Deviance, and Sum-of-Squares; 5.2.2 The Hosmer-Lemeshow Tests; 5.2.3 Classification Tables; 5.2.4 Area Under the Receiver Operating Characteristic Curve; 5.2.5 Other Summary Measures; 5.3 Logistic Regression Diagnostics; 5.4 Assessment of Fit via External Validation; 5.5 Interpretation and Presentation of the Results from a Fitted Logistic Regression Model; Exercises; 6 Application of Logistic Regression with Different Sampling Models; 6.1 Introduction
6.2 Cohort Studies6.3 Case-Control Studies; 6.4 Fitting Logistic Regression Models to Data from Complex Sample Surveys; Exercises; 7 Logistic Regression for Matched Case-Control Studies; 7.1 Introduction; 7.2 Methods For Assessment of Fit in a 1-M Matched Study; 7.3 An Example Using the Logistic Regression Model in a 1-1 Matched Study; 7.4 An Example Using the Logistic Regression Model in a 1-M Matched Study; Exercises; 8 Logistic Regression Models for Multinomial and Ordinal Outcomes; 8.1 The Multinomial Logistic Regression Model
8.1.1 Introduction to the Model and Estimation of Model Parameters
Record Nr. UNINA-9910139038403321
Hosmer David W  
Hoboken, N.J., : Wiley, 2013
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