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Handbook of Modeling High-Frequency Data in Finance

CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances;

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High Frequency Financial Econometrics

Shedding light on some of the most pressing open questions in the analysis of high frequency data, this volume presents cutting-edge;

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High-Frequency Financial Econometrics

fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has;

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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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Econometrics of Financial High-frequency Data

The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a;

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Principles and Methods for Data Science

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with;

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Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage;

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High-dimensional Data Analysis

will appeal to graduate students and new researchers interested in the plethora of opportunities available in high-dimensional data analysis.;

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Handbook of High-Frequency Trading and Modeling in Finance

Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance;

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Nonlinear Modelling of High Frequency Financial Time Series

market practitioners, in modelling high frequency data in finance. Combining both nonlinear modelling and intraday data for financial markets;

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Financial Signal Processing and Machine Learning

market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and;

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High-frequency Trading And Probability Theory

This book is the first of its kind to treat high-frequency trading and technical analysis as accurate sciences. The authors reveal how to;

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High-frequency Trading And Probability Theory

This book is the first of its kind to treat high-frequency trading and technical analysis as accurate sciences. The authors reveal how to;

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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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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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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Data Science

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification;

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Mechanics Of Piezoelectric Structures, The

. The development of two-, one- and zero-dimensional theories for high frequency vibrations of piezoelectric plates, shells, beams, rings curved;

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Introduction To Analysis Of Financial Data With R

models * High-frequency financial data and simple models for price changes, trading intensity, and realized volatility * Quantitative methods for;

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Statistical Foundations of Data Science

Provides theoretical insights and justification of the statistical procedures for the analysis of high-dimensional data Presents a general;

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High-Dimensional Covariance Matrix Estimation

setting, and introduces the basic concepts and major results related to spectral statistics and random matrix theory under high-dimensional;

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Analysis Of Multivariate & High Dimensio

engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to;

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High-Dimensional Covariance Estimation

. High-Dimensional Covariance Estimation features chapters on: * Data, Sparsity, and Regularization * Regularizing the Eigenstructure * Banding;

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