This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world. It covers theory and application equally for readers from both financial and mathematical backgrounds. The book offers succinct coverage of standard topics in statistical time series - such as forecasting and spectral analysis - in a manner that is both technical and conceptual. An author website provides in...
Multidimensional Stationary Time Series
by Marianna Bolla and Tamas Szabados
This book gives a brief survey of the theory of multidimensional (multivariate), weakly stationary time series, with emphasis on dimension reduction and prediction. Understanding the covered material requires a certain mathematical maturity, a degree of knowledge in probability theory, linear algebra, and also in real, complex and functional analysis. For this, the cited literature and the Appendix contain all necessary material. The main tools of the book include harmonic analysis, some abstrac...
Dynamic Time Series Models using R-INLA
by Nalini Ravishanker, Balaji Raman, and Refik Soyer
Dynamic Time Series Models using R-INLA: An Applied Perspective is the outcome of a joint effort to systematically describe the use of R-INLA for analysing time series and showcasing the code and description by several examples. This book introduces the underpinnings of R-INLA and the tools needed for modelling different types of time series using an approximate Bayesian framework. The book is an ideal reference for statisticians and scientists who work with time series data. It provides an exc...
Multivariate Time Series Analysis with MATLAB. Var and Varmax Models
by Maria Perez
F r vieles gut, aber trotzdem nicht besonders beliebt: Das ist das Schicksal der Zeitreihenanalyse. Vielleicht liegt es daran, dass man sie f r ein wenig schr g und schwer verst ndlich h lt. Das ndert sich mit diesem Buch. Hans Weigl erkl rt Ihnen, was Sie ber Zeitreihenanalyse wissen sollten. Er zeigt Ihnen, was der Unterschied zwischen Datens tzen und Zeitreihen ist, wie Sie Datens tze lokalisieren und erl utert, warum Zeitreihen Prozesse sind. Sie erfahren, wie Sie Abh ngigkeiten messen und...
Introduction to Time Series Using Stata, Revised Edition provides a step-by-step guide to essential time-series techniques-from the incredibly simple to the quite complex- and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to...
The Probability Map of the Universe
Philosophers debate the ideas and implications of one of the most important contemporary works in the philosophy of science, David Albert's Time and Chance.In the twenty-odd years since its publication, David Albert's Time and Chance has been recognized as one of the most significant contemporary contributions to the philosophy of science. Here, philosophers and physicists explore the implications of Albert's arguments and debate his solutions to some of the most intractable problems in theoreti...
60 Worksheets - Finding Smaller Number of 2 Digits (60 Days Math Smaller Numbers, #1)
by Kapoo Stem
Modeling And Advanced Techniques In Modern Economics
In the modern world, data is a vital asset for any organization, regardless of industry or size. The world is built upon data. However, data without knowledge is useless. The aim of this book, briefly, is to introduce new approaches that can be used to shape and forecast the future by combining the two disciplines of Statistics and Economics.Readers of Modeling and Advanced Techniques in Modern Economics can find valuable information from a diverse group of experts on topics such as finance, eco...
Time Series Analysis with MATLAB. Conditional Variance Models
by Maria Perez
Introduction to Time Series Using Stata, Revised Edition provides a step-by-step guide to essential time-series techniques-from the incredibly simple to the quite complex- and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to...
2019-2023 Five Year Planner (2019 Monthly Planner, #7)
by Miracle Planners
Series Temporales a Traves de Statgraphics Centurion
by Cesar Lopez Perez
Prediccion Economica y Empresarial a Traves de Excel
by Libros Cientificos
Boundary Value Problems on Time Scales, Volume I (Advances in Applied Mathematics)
by Svetlin Georgiev and Khaled Zennir
Boundary Value Problems on Time Scales, Volume I is devoted to the qualitative theory of boundary value problems on time scales. Summarizing the most recent contributions in this area, it addresses a wide audience of specialists such as mathematicians, physicists, engineers and biologists. It can be used as a textbook at the graduate level and as a reference book for several disciplines. The text contains two volumes, both published by Chapman & Hall/CRC Press. Volume I presents boundary value...
A Mathematical Model for Grouped Extreme Values with an Application in Automotive Engineering.
by Sebastian Seifen
Multivariate Time Series Analysis with Matlab. Var and Varmax Models
by Perez M