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Algebraic Graph Algorithms : A Practical Guide Using Python / / by K. Erciyes
Algebraic Graph Algorithms : A Practical Guide Using Python / / by K. Erciyes
Autore Erciyes Kayhan
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (229 pages)
Disciplina 511.5
Collana Undergraduate Topics in Computer Science
Soggetto topico Computer science
Computer science - Mathematics
Discrete mathematics
Theory of Computation
Discrete Mathematics in Computer Science
Mathematical Applications in Computer Science
Python (Llenguatge de programació)
Algorismes
Àlgebra
Soggetto genere / forma Llibres electrònics
ISBN 9783030878863
9783030878856
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Graphs, Matrices and Matroids -- 3. Parallel Matrix Algorithm Kernel -- 4. Basic Graph Algorithms -- 5. Connectivity, Matching and Matroids -- 6. Subgraph Search -- 7. Analysis of Large Graphs -- 8. Clustering in Complex Networks -- 9. Kronecker Graphs -- 10. Sample Algorithms for Complex Networks.
Record Nr. UNINA-9910510574003321
Erciyes Kayhan  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Time Series Analysis and Forecasting with Python [[electronic resource] /] / by Changquan Huang, Alla Petukhina
Applied Time Series Analysis and Forecasting with Python [[electronic resource] /] / by Changquan Huang, Alla Petukhina
Autore Huang Changquan
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (377 pages)
Disciplina 813
Collana Statistics and Computing
Soggetto topico Time-series analysis
Statistics - Computer programs
Econometrics
Python (Computer program language)
Machine learning
Statistics
Time Series Analysis
Statistical Software
Python
Machine Learning
Statistics in Business, Management, Economics, Finance, Insurance
Anàlisi de sèries temporals
Python (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-13584-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Time Series Concepts and Python -- 2. Exploratory Time Series Data Analysis -- 3. Stationary Time Series Models -- 4. ARMA and ARIMA Modeling and Forecasting -- 5. Nonstationary Time Series Models -- 6. Financial Time Series and Related Models -- 7. Multivariate Time Series Analysis -- 8. State Space Models and Markov Switching Models -- 9. Nonstationarity and Cointegrations -- 10. Modern Machine Learning Methods for Time Series Analysis.
Record Nr. UNISA-996495169403316
Huang Changquan  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Applied Time Series Analysis and Forecasting with Python / / by Changquan Huang, Alla Petukhina
Applied Time Series Analysis and Forecasting with Python / / by Changquan Huang, Alla Petukhina
Autore Huang Changquan
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (377 pages)
Disciplina 813
519.55
Collana Statistics and Computing
Soggetto topico Time-series analysis
Statistics - Computer programs
Econometrics
Python (Computer program language)
Machine learning
Statistics
Time Series Analysis
Statistical Software
Python
Machine Learning
Statistics in Business, Management, Economics, Finance, Insurance
Anàlisi de sèries temporals
Python (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-13584-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Time Series Concepts and Python -- 2. Exploratory Time Series Data Analysis -- 3. Stationary Time Series Models -- 4. ARMA and ARIMA Modeling and Forecasting -- 5. Nonstationary Time Series Models -- 6. Financial Time Series and Related Models -- 7. Multivariate Time Series Analysis -- 8. State Space Models and Markov Switching Models -- 9. Nonstationarity and Cointegrations -- 10. Modern Machine Learning Methods for Time Series Analysis.
Record Nr. UNINA-9910619280803321
Huang Changquan  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computation and Simulation for Finance : An Introduction with Python / / by Cónall Kelly
Computation and Simulation for Finance : An Introduction with Python / / by Cónall Kelly
Autore Kelly Cónall
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (335 pages)
Disciplina 332.6457
Collana Springer Undergraduate Texts in Mathematics and Technology
Soggetto topico Social sciences - Mathematics
Mathematics - Data processing
Mathematics in Business, Economics and Finance
Computational Mathematics and Numerical Analysis
Python (Llenguatge de programació)
Anàlisi numèrica
Equacions diferencials estocàstiques
Actius financers derivats
Matemàtica financera
Soggetto genere / forma Llibres electrònics
ISBN 9783031605758
9783031605741
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto - Part I Modelling Assets and Markets -- Introduction -- The Pricing of Financial Derivatives -- Part II Computational Pricing Methods in the Black-Scholes Framework -- Binomial Tree Methods -- Simulation I: Monte Carlo Methods -- Finite Difference Methods -- Part III Simulation Methods Beyond the Black-Scholes Framework -- Simulation II: Modelling Multivariate Financial Data -- Stochastic Models for Interest Rates -- Simulation III: Numerical Approximation of SDE Models.
Record Nr. UNINA-9910874679003321
Kelly Cónall  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A Course in Python [[electronic resource] ] : The Core of the Language / / by Roozbeh Hazrat
A Course in Python [[electronic resource] ] : The Core of the Language / / by Roozbeh Hazrat
Autore Hazrat Roozbeh
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (255 pages)
Disciplina 510.285
Collana Springer Undergraduate Mathematics Series
Soggetto topico Computer software
Algorithms
Mathematics
Python (Llenguatge de programació)
Mathematical Software
General Mathematics
Soggetto genere / forma Llibres electrònics
ISBN 3-031-49780-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Basics of Python -- 2 Lists and Tuples -- 3 Decisions and Repetitions -- 4 Functions -- 5 List Comprehension and Generators -- 6 The sympy Library -- 7 The numpy Library -- 8 The matplotlib Library and Projects.
Record Nr. UNINA-9910799493403321
Hazrat Roozbeh  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Essentials of Excel VBA, Python, and R . Volume I Financial Statistics and Portfolio Analysis / / John Lee and Cheng-Few Lee
Essentials of Excel VBA, Python, and R . Volume I Financial Statistics and Portfolio Analysis / / John Lee and Cheng-Few Lee
Autore Lee John
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (XVI, 696 p. 1113 illus., 1005 illus. in color.)
Disciplina 005.54
Soggetto topico Electronic spreadsheets - Computer programs
Finance - Data processing
Finance - Statistical methods
Python (Computer program language)
Finances
Estadística matemàtica
Processament de dades
Python (Llenguatge de programació)
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-14236-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Data Collection, Presentation, and Yahoo Finance -- Chapter 3. Histograms and the Rate of Returns of JPM and JNJ -- Chapter 4. Numerical Summary Measures on Stock Rates of Return and Market Rates of Return -- Chapter 5. Probability Concepts and their Analysis -- Chapter 6. Discrete Random Variables and Probability Distributions -- Chapter 7. The Normal and Lognormal Distributions -- Chapter 8. Sampling Distributions and Central Limit Theorem -- Chapter 9. Other Continuous Distributions -- Chapter 10. Estimation -- Chapter 11. Hypothesis Testing -- Chapter 12. Analysis of Variance and Chi-Square Tests -- Chapter 13. Simple Linear Regression and the Correlation Coefficient -- Chapter 14. Simple Linear Regression and Correlation: Analyses and Applications -- Chapter 15. Multiple Linear Regression -- Chapter 16. Residual and Regression Assumption Analysis -- Chapter 17. Nonparametric Statistics -- Chapter 18. Time Series: Analysis, Model, and Forecasting -- Chapter 19. Index Numbers and Stock Market Indexes -- Chapter 20. Sampling Surveys: Methods and Applications -- Chapter 21. Statistical Decision Theory -- Chapter 22. Sources of Risks and their Determination -- Chapter 23. Risk-Aversion, Capital Asset Allocation, and Markowitz Portfolio Selection Model -- Chapter 24. Capital Asset Pricing Model and Beta Forecasting -- Chapter 25. Single-Index Models for Portfolio Selection -- Chapter 26. Sharpe Performance Measure and Treynor Performance Measure Approach to Portfolio Analysis.
Record Nr. UNINA-9910637731803321
Lee John  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Essentials of Excel VBA, Python, and R . Volume I Financial Statistics and Portfolio Analysis / / John Lee and Cheng-Few Lee
Essentials of Excel VBA, Python, and R . Volume I Financial Statistics and Portfolio Analysis / / John Lee and Cheng-Few Lee
Autore Lee John
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (XVI, 696 p. 1113 illus., 1005 illus. in color.)
Disciplina 005.54
Soggetto topico Electronic spreadsheets - Computer programs
Finance - Data processing
Finance - Statistical methods
Python (Computer program language)
Finances
Estadística matemàtica
Processament de dades
Python (Llenguatge de programació)
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-14236-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Data Collection, Presentation, and Yahoo Finance -- Chapter 3. Histograms and the Rate of Returns of JPM and JNJ -- Chapter 4. Numerical Summary Measures on Stock Rates of Return and Market Rates of Return -- Chapter 5. Probability Concepts and their Analysis -- Chapter 6. Discrete Random Variables and Probability Distributions -- Chapter 7. The Normal and Lognormal Distributions -- Chapter 8. Sampling Distributions and Central Limit Theorem -- Chapter 9. Other Continuous Distributions -- Chapter 10. Estimation -- Chapter 11. Hypothesis Testing -- Chapter 12. Analysis of Variance and Chi-Square Tests -- Chapter 13. Simple Linear Regression and the Correlation Coefficient -- Chapter 14. Simple Linear Regression and Correlation: Analyses and Applications -- Chapter 15. Multiple Linear Regression -- Chapter 16. Residual and Regression Assumption Analysis -- Chapter 17. Nonparametric Statistics -- Chapter 18. Time Series: Analysis, Model, and Forecasting -- Chapter 19. Index Numbers and Stock Market Indexes -- Chapter 20. Sampling Surveys: Methods and Applications -- Chapter 21. Statistical Decision Theory -- Chapter 22. Sources of Risks and their Determination -- Chapter 23. Risk-Aversion, Capital Asset Allocation, and Markowitz Portfolio Selection Model -- Chapter 24. Capital Asset Pricing Model and Beta Forecasting -- Chapter 25. Single-Index Models for Portfolio Selection -- Chapter 26. Sharpe Performance Measure and Treynor Performance Measure Approach to Portfolio Analysis.
Record Nr. UNISA-996508570103316
Lee John  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Exploring University Mathematics with Python / / by Siri Chongchitnan
Exploring University Mathematics with Python / / by Siri Chongchitnan
Autore Chongchitnan Siri
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (521 pages)
Disciplina 510.285
Soggetto topico Computer software
Python (Computer program language)
Algebras, Linear
Mathematical analysis
Probabilities
Mathematical Software
Python
Linear Algebra
Analysis
Probability Theory
Python (Llenguatge de programació)
Probabilitats
Àlgebra lineal
Soggetto genere / forma Llibres electrònics
ISBN 3-031-46270-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Analysis -- 2 Calculus -- 3 Vector Calculus and Geometry -- 4 Differential Equations and Dynamical Systems -- 5 Linear Algebra -- 6 Abstract Algebra and Number Theory -- 7 Probability -- 8 Statistics -- Appendix A: Python 101.
Record Nr. UNINA-9910767587003321
Chongchitnan Siri  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hands-on time series analysis with Python : from basics to bleeding edge techniques / / by B.V. Vishwas, Ashish Patel
Hands-on time series analysis with Python : from basics to bleeding edge techniques / / by B.V. Vishwas, Ashish Patel
Autore Vishwas B V
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Berkeley, CA : , : Apress, , [2020]
Descrizione fisica 1 online resource (420 pages)
Disciplina 519.55
Soggetto topico Machine learning
Python (Computer program language)
Open source software
Machine Learning
Python
Open Source
Aprenentatge automàtic
Python (Llenguatge de programació)
Sèries temporals - Anàlisi
ISBN 9781484259924
1484259920
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Time Series and its Characteristics -- Chapter 2: Data Wrangling and Preparation for Time Series -- Chapter 3: Smoothing Methods -- Chapter 4: Regression Extension Techniques for Time Series -- Chapter 5: Bleeding Edge Techniques -- Chapter 6: Bleeding Edge Techniques for Univariate Time Series -- Chapter 7: Bleeding Edge Techniques for Multivariate Time Series -- Chapter 8: Prophet.
Record Nr. UNINA-9910416141003321
Vishwas B V  
Berkeley, CA : , : Apress, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
An Introduction to Statistical Learning : with Applications in Python / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
An Introduction to Statistical Learning : with Applications in Python / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
Autore James Gareth <1936->
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (617 pages)
Disciplina 511.8
Collana Springer Texts in Statistics
Soggetto topico Statistics
Mathematical statistics - Data processing
Statistical Theory and Methods
Statistics and Computing
Applied Statistics
Estadística matemàtica
Models matemàtics
Python (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 9783031387470
3031387473
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Statistical Learning -- Linear Regression -- Classification -- Resampling Methods -- Linear Model Selection and Regularization -- Moving Beyond Linearity -- Tree-Based Methods -- Support Vector Machines -- Deep Learning -- Survival Analysis and Censored data -- Unsupervised Learning -- Multiple Testing -- Index.
Record Nr. UNINA-9910734891903321
James Gareth <1936->  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui