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Time Series In High Dimensions
Factor models have become the most successful tool in the analysis and forecasting of high-dimensional time series. This monograph provides;
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Multivariate Time Series Analysis and Applications
An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the;
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Dirichlet Series and Holomorphic Functions in High Dimensions
relating Dirichlet series and holomorphic functions in high dimensions. Elaborating on this work, almost twnety years later Bohnenblust and Hille;
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Nonlinear Modelling of High Frequency Financial Time Series
Nonlinear Modelling of High Frequency Financial Time Series Edited by Christian Dunis and Bin Zhou In the competitive and risky environment;
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Deep Change
This book is about deep change. In a series of research reports and commentaries, it mainly features case studies of powerful reform for;
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Deep Change
This book is about deep change. In a series of research reports and commentaries, it mainly features case studies of powerful reform for;
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Modeling and Stochastic Learning for Forecasting in High Dimensions
application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered;
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Large Covariance and Autocovariance Matrices
matrices in high-dimensional models and novel ideas on how to use them for statistical inference in one or more high-dimensional time series models;
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Large Covariance and Autocovariance Matrices
matrices in high-dimensional models and novel ideas on how to use them for statistical inference in one or more high-dimensional time series models;
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Computational Intelligence-based Time Series Analysis
The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high;
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Modelling of Series Resonant Inverter
Series resonant inverters are the source of very high frequency energy and are used for high frequency applications. SRIs are connected to;
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Time Series Databases - New Ways to Store and Acces Data
advantages of NoSQL databases for large-scale time series data NoSQL table design for high-performance time series databases The benefits and;
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Nonlinear Time Series Analysis
A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series;
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High Energy Physics
Belonging to the prestigious Rochester Conference Series, ICHEP 2006 is the most important international conference in 2006 on high energy;
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The Effects of Anxiety-arousing Messages in Groups on Qualitative Dimensions of Feedback in High and Low Communication Apprehensive Individuals
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The Effects of Anxiety-arousing Messages in Groups on Qualitative Dimensions of Feedback in High and Low Communication Apprehensive Individuals
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New Technology-Based Firms in the 1990s
This book is the third volume in an annual series originating from the annual international High Technology Small Firms Conference, first;
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Conversations with Nostradamus
BOOK TWO OF THE CONVOLUTED UNIVERSE SERIES More Mind-Bending & Challenging Metaphysical Concepts* Hidden Underground Cities* Energy and;
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Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance
This book deals with the numerical analysis and efficient numerical treatment of high-dimensional integrals using sparse grids and other;
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Dimensions In Time . Martin, Deborah/Eric Wollo, CD
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Particle Physics of Brane Worlds and Extra Dimensions
account of these recent developments, keeping the high-energy physics implications in focus. After an historical survey of the idea of extra;
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Pilgrim's Way
An illustrated guide to the spiritual dimensions of pilgrim sites in the region in the PILGRIM GUIDES series.;
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An Introduction to High-Frequency Finance
book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on;
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Hands-On Time Series Analysis with R
with different time series formats in R Explore time series models such as ARIMA, Holt-Winters, and more Evaluate high-performance forecasting;
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Inference for Heavy-Tailed Data
in tail index and high quantile inference. These results for independent data, dependent data, linear time series and nonlinear time series are;
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Displaying Time Series, Spatial, and Space-Time Data with R
Focusing on the exploration of data with visual methods, this book presents methods and R code for producing high-quality static graphics;
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