Binding Phenomena : General Description and Analytical Applications / / by Waldemar A. Marmisollé, Dionisio Posadas |
Autore | Marmisollé Waldemar A |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (190 pages) |
Disciplina | 541.224 |
Altri autori (Persone) | PosadasDionisio |
Collana | Physical Chemistry in Action |
Soggetto topico |
Chemistry, Physical and theoretical
Analytical chemistry Distribution (Probability theory) Physical Chemistry Analytical Chemistry Theoretical Chemistry Distribution Theory |
ISBN | 3-031-39736-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Binding to simple substrates with one binding site -- One substrate with two different binding sites. Competitive binding. Two different binding species. Two different binding substrates -- Titration of simple substrates -- Continuous Distribution Functions. Cumulative and Density Distribution Functions. Known Examples -- Elements of adsorption on heterogeneous substrates -- Theoretical bases for the interpretation of the titration curves of macromolecules -- Acid-Base equilibria at complex substrates. Polyacids and Polybases -- Acid-Base Titration of complex substrates -- The Acid-Base Behaviour of Polyampholytes. The Case of Colloidal Oxides -- Titration of polyampholytes. Polyzwitterions and other examples -- Electron titrations of electrochemically active Macromolecules -- Appendices. |
Record Nr. | UNINA-9910767505803321 |
Marmisollé Waldemar A
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Closure Properties for Heavy-Tailed and Related Distributions : An Overview / / by Remigijus Leipus, Jonas Šiaulys, Dimitrios Konstantinides |
Autore | Leipus Remigijus |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (99 pages) |
Disciplina | 519.24 |
Altri autori (Persone) |
SiaulysJonas
KonstantinidesDimitrios |
Collana | SpringerBriefs in Statistics |
Soggetto topico |
Probabilities
Distribution (Probability theory) Stochastic models Actuarial science Applied Probability Distribution Theory Probability Theory Stochastic Modelling in Statistics Actuarial Mathematics Distribució (Teoria de la probabilitat) |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-34553-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 An Overview of the Book -- 1.2 Notations and Definitions -- 2 Heavy-Tailed and Related Classes of Distributions -- 2.1 Heavy-Tailed Distributions -- 2.2 Regularly Varying Distributions -- 2.3 Consistently Varying Distributions -- 2.4 Dominatedly Varying Distributions -- 2.5 Long-Tailed Distributions -- 2.6 Exponential-Like-Tailed Distributions -- 2.7 Generalized Long-Tailed Distributions -- 2.8 Subexponential Distributions -- 2.9 Strong Subexponential Distributions -- 2.10 Convolution Equivalent Distributions -- 2.11 Generalized Subexponential Distributions -- 2.12 Bibliographical Notes -- 3 Closure Properties Under Tail-Equivalence, Convolution, Finite Mixing, Maximum, and Minimum -- 3.1 Ruin Probability in the Cramér-Lundberg Risk Model in the Case of Heavy-Tailed Claims -- 3.2 Convolution Closure and Max-Sum Equivalence -- 3.3 Closure Properties for Heavy-Tailed Class of Distributions -- 3.4 Closure Properties for Regularly Varying Class of Distributions -- 3.5 Closure Properties for Consistently Varying Class of Distributions -- 3.6 Closure Properties for Dominatedly Varying Class of Distributions -- 3.7 Closure Properties for Long-Tailed Class of Distributions -- 3.8 Closure Properties for Exponential-Like-Tailed Class of Distributions -- 3.9 Closure Properties for Generalized Long-Tailed Class of Distributions -- 3.10 Closure Properties for Subexponential Class of Distributions -- 3.11 Closure Properties for Strong Subexponential Class of Distributions -- 3.12 Closure Properties for Convolution Equivalent Class of Distributions -- 3.13 Closure Properties for Generalized Subexponential Class of Distributions -- 3.14 Bibliographical Notes -- 4 Convolution-Root Closure -- 4.1 Distribution Classes Closed Under Convolution Roots.
4.2 Distribution Classes Not Closed Under Convolution Roots -- 4.3 Bibliographical Notes -- 5 Product-Convolution of Heavy-Tailed and Related Distributions -- 5.1 Product-Convolution -- 5.2 From Light Tails to Heavy Tails Through Product-Convolution -- 5.3 Product-Convolution Closure Properties for Heavy-Tailed Class of Distributions -- 5.4 Product-Convolution Closure Properties for Regularly Varying Class of Distributions -- 5.5 Product-Convolution Closure Properties for Consistently Varying Class of Distributions -- 5.6 Product-Convolution Closure Properties for Dominatedly Varying Class of Distributions -- 5.7 Product-Convolution Closure Properties for Exponential-Like-Tailed Distributions -- 5.8 Product-Convolution Closure Properties for Generalized Long-Tailed Class of Distributions -- 5.9 Product-Convolution Closure Properties for Convolution Equivalent Class of Distributions -- 5.10 Product-Convolution Closure Properties for Generalized Subexponential Class of Distributions -- 5.11 Some Extensions -- 5.12 Bibliographical Notes -- 6 Summary of Closure Properties -- References -- Index. |
Record Nr. | UNINA-9910746099003321 |
Leipus Remigijus
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Stationary Processes and Discrete Parameter Markov Processes [[electronic resource] /] / by Rabi Bhattacharya, Edward C. Waymire |
Autore | Bhattacharya R. N (Rabindra Nath), <1937-> |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (449 pages) |
Disciplina | 780 |
Collana | Graduate Texts in Mathematics |
Soggetto topico |
Stochastic processes
Markov processes Distribution (Probability theory) Probabilities Stochastic Processes Markov Process Distribution Theory Probability Theory Processos estocàstics |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-00943-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Symbol Definition List -- 1. Fourier Analysis: A Brief -- 2. Weakly Stationary Processes and their Spectral Measures -- 3. Spectral Representation of Stationary Processes -- 4. Birkhoff’s Ergodic Theorem -- 5. Subadditive Ergodic Theory -- 6. An Introduction to Dynamical Systems -- 7. Markov Chains -- 8. Markov Processes with General State Space -- 9. Stopping Times and the Strong Markov Property -- 10. Transience and Recurrence of Markov Chains -- 11. Birth–Death Chains -- 12. Hitting Probabilities & Absorption -- 13. Law of Large Numbers and Invariant Probability for Markov Chains by Renewal Decomposition -- 14. The Central Limit Theorem for Markov Chains by Renewal Decomposition -- 15. Martingale Central Limit Theorem -- 16. Stationary Ergodic Markov Processes: SLLN & FCLT -- 17. Linear Markov Processes -- 18. Markov Processes Generated by Iterations of I.I.D. Maps -- 19. A Splitting Condition and Geometric Rates of Convergence to Equilibrium -- 20. Irreducibility and Harris Recurrent Markov Processes -- 21. An Extended Perron–Frobenius Theorem and Large Deviation Theory for Markov Processes -- 22. Special Topic: Applications of Large Deviation Theory -- 23. Special Topic: Associated Random Fields, Positive Dependence, FKG Inequalities -- 24. Special Topic: More on Coupling Methods and Applications -- 25. Special Topic: An Introduction to Kalman Filter -- A. Spectral Theorem for Compact Self-Adjoint Operators and Mercer’s Theorem -- B. Spectral Theorem for Bounded Self-Adjoint Operators -- C. Borel Equivalence for Polish Spaces -- D. Hahn–Banach, Separation, and Representation Theorems in Functional Analysis -- References -- Author Index -- Subject Index. |
Record Nr. | UNISA-996503552703316 |
Bhattacharya R. N (Rabindra Nath), <1937->
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Stationary Processes and Discrete Parameter Markov Processes / / by Rabi Bhattacharya, Edward C. Waymire |
Autore | Bhattacharya R. N (Rabindra Nath), <1937-> |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (449 pages) |
Disciplina | 780 |
Collana | Graduate Texts in Mathematics |
Soggetto topico |
Stochastic processes
Markov processes Distribution (Probability theory) Probabilities Stochastic Processes Markov Process Distribution Theory Probability Theory Processos estocàstics |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-00943-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Symbol Definition List -- 1. Fourier Analysis: A Brief -- 2. Weakly Stationary Processes and their Spectral Measures -- 3. Spectral Representation of Stationary Processes -- 4. Birkhoff’s Ergodic Theorem -- 5. Subadditive Ergodic Theory -- 6. An Introduction to Dynamical Systems -- 7. Markov Chains -- 8. Markov Processes with General State Space -- 9. Stopping Times and the Strong Markov Property -- 10. Transience and Recurrence of Markov Chains -- 11. Birth–Death Chains -- 12. Hitting Probabilities & Absorption -- 13. Law of Large Numbers and Invariant Probability for Markov Chains by Renewal Decomposition -- 14. The Central Limit Theorem for Markov Chains by Renewal Decomposition -- 15. Martingale Central Limit Theorem -- 16. Stationary Ergodic Markov Processes: SLLN & FCLT -- 17. Linear Markov Processes -- 18. Markov Processes Generated by Iterations of I.I.D. Maps -- 19. A Splitting Condition and Geometric Rates of Convergence to Equilibrium -- 20. Irreducibility and Harris Recurrent Markov Processes -- 21. An Extended Perron–Frobenius Theorem and Large Deviation Theory for Markov Processes -- 22. Special Topic: Applications of Large Deviation Theory -- 23. Special Topic: Associated Random Fields, Positive Dependence, FKG Inequalities -- 24. Special Topic: More on Coupling Methods and Applications -- 25. Special Topic: An Introduction to Kalman Filter -- A. Spectral Theorem for Compact Self-Adjoint Operators and Mercer’s Theorem -- B. Spectral Theorem for Bounded Self-Adjoint Operators -- C. Borel Equivalence for Polish Spaces -- D. Hahn–Banach, Separation, and Representation Theorems in Functional Analysis -- References -- Author Index -- Subject Index. |
Record Nr. | UNINA-9910633936303321 |
Bhattacharya R. N (Rabindra Nath), <1937->
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Unsupervised Domain Adaptation : Recent Advances and Future Perspectives / / by Jingjing Li, Lei Zhu, Zhekai Du |
Autore | Li Jingjing |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (XVI, 223 p. 78 illus., 44 illus. in color.) |
Disciplina | 006.31 |
Collana | Machine Learning: Foundations, Methodologies, and Applications |
Soggetto topico |
Machine learning
Artificial intelligence - Data processing Data mining Distribution (Probability theory) Machine Learning Data Science Data Mining and Knowledge Discovery Distribution Theory |
ISBN | 981-9710-25-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Introduction to Domain Adaptation -- Chapter 2. Unsupervised Domain Adaptation Techniques -- Chapter 3. Criterion Optimization-Based Unsupervised Domain -- Chapter 4. Bi-Classifier Adversarial Learning-Based Unsupervised Domain -- Chapter 5. Source-Free Unsupervised Domain Adaptation -- Chapter 6. Active Learning for Unsupervised Domain Adaptation -- Chapter 7. Continual Test-Time Unsupervised Domain Adaptation -- Chapter 8. Applications -- Chapter 9. Research Frontier. |
Record Nr. | UNINA-9910851990403321 |
Li Jingjing
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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