Stochastik – alle Bücher und LPs, Seite 9

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Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni
Exercise Book of Statistical Inference

This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the bo…

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Rajan Chattamvelli
Correlation in Engineering and the Applied Sciences

This book focuses on correlation coefficients and its applications in applied science fields. The book begins by describing the historical development and various types of correlations. Rank correlation m…

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Séminaire de Probabilités LII

Part I: In Memoriam Dominique Lépingle.- 1. From Martingales to Multivalued Stochastic Differential Equations in Polyhedral Domains: A Tribute to Dominique Lépingle. - Part II: Regular Contributions.- 2. …

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Statistics for Innovation II

Preface.- Contributed Sessions 1.

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Hannah Geiss, Stefan Geiss
Measure, Probability and Functional Analysis

This textbook offers a self-contained introduction to probability, covering all topics required for further study in stochastic processes and stochastic analysis, as well as some advanced topics at the in…

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Stephen S. -T. Yau, Xiuqiong Chen, Xiaopei Jiao, Jiayi Kang
Principles of Nonlinear Filtering Theory

This text presents a comprehensive and unified treatment of nonlinear filtering theory, with a strong emphasis on its mathematical underpinnings. It is tailored to meet the needs of a diverse readership, …

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Handbuch Dampfturbinen

Das Fachbuch behandelt die Grundlagen, die Konstruktion und das Betriebsverhalten von Dampfturbinen in aktueller Form. Die wichtigsten Fragen zu Dampfturbinen werden als zeitgemäßes Kompendium für fortges…

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Ekbert Hering, Martin Stohrer, Rolf Martin
Physik für Ingenieure

Dieses Lehrbuch zeichnet sich durch klare Strukturen, bewährte Didaktik und Übersichten zur Veranschaulichung komplexer Zusammenhänge aus. Zahlreiche Abbildungen aus der Technik und Berechnungsbeispiele a…

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Umberto Michelucci
Statistics for Scientists

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the …

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Wilfredo Urbina-Romero, Ricardo Rios
An Introduction to the Modern Martingale Theory and Applications

Chapter 1: Introduction.- Chapter 2: Probability and Conditional Expectation.- Chapter 3: Advanced Topics in Martingale Theory.- Chapter 4: Burkholder's inequalities and Davis'sinequality.- Chapter 5: App…

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Mathematical Modeling in Physical Sciences

This volume gathers selected papers presented at the ICMSQUARE 2023 - 12th International Conference on Mathematical Modeling in Physical Sciences held in Belgrade, Serbia from August 28-31, 2023. This pro…

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Ilija Barukcic
Theoriae causalitatis principia mathematica

Dive into a treasure trove of knowledge with over 1,332 equations, 34 detailed figures, and 81 comprehensive tables. Perfect for students, researchers, and enthusiasts seeking clarity and precision. This …

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Margo Anderson, William Seltzer
Use and Misuse of the United States Census

The U.S. government conducts a population census every 10 years, adds up the counts by geographic location, and uses the resulting numbers in formulas to allocate seats in the House of Representative and …

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Active Particles, Volume 4

This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.…

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Jolanta Misiewicz
A One-Semester Course on Probability

This concise textbook covers the full scope of an introductory course in modern probability theory, from elementary combinatorial methods to the central limit theorem, while maintaining mathematical rigor…

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Statistics for Innovation III

Preface.- Contributed Sessions 2.

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Hai-Dang Nguyen, George Yin, Chao Zhu
Hybrid Switching Diffusions

Chapter 1 Introduction and Motivation.- Chapter 2 Switching Diffusion.- Chapter 3 Recurrence.- Chapter 4 Ergodicity.- Chapter 5 Numerical Approximation.- Chapter 6 Stability.- Chapter 7 Stability of Switc…

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Yury A. Kutoyants
Hidden Markov Processes and Adaptive Filtering

1 Auxiliary Result.- 2 Small Noise in Both Equations.- 3 Small Noise in Observations.- 4 Hidden Ergodic O-U process.- 5 Hidden Telegraph Process.- 6 Hidden AR Process.- 7 Source Localization.

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Daniel Sorensen
Statistical Learning in Genetics

Overview.- Part I: Fitting Likelihood and Bayesian Models.- 2. Likelihood.- 3. Computing the Likelihood.- 4. Bayesian Methods.- 5. McMC in Practice.- Part II: Prediction.- 6. Fundamentals of Prediction.- …

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