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Methods in Brain Connectivity Inference through Multivariate Time Series Analysis

, behavioral, and experimental neurosciences. Methods in Brain Connectivity Inference through Multivariate Time Series Analysis gathers the;

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Time Series

in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling, analysis and;

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Time Series

series analysis. It encompasses a graduate-level account of Bayesian time series modeling and analysis, a broad range of references to state;

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Multivariate Time Series Analysis and Applications

field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;

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Contemporary Psychometrics

between and within independent samples, dynamic factor models based on ARMA time series models, and multi-level factor analysis models for;

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Contemporary Psychometrics

between and within independent samples, dynamic factor models based on ARMA time series models, and multi-level factor analysis models for;

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Multivariate Statistical Inference And Applications

The most accessible introduction to the theory and practice of multivariate analysis Multivariate Statistical Inference and Applications;

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Handbook of Time Series Analysis

This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading;

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Time Series Analysis

Time Series Analysis, 2nd Edition is a thorough introduction to both time-domain and frequency-domain analyses of univariate and;

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Statistical Analysis of fMRI Data

second edition has been completely revised and updated. Six new chapters cover experimental design, functional connectivity analysis through the;

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Methods of Multivariate Statistics

of hypotheses, and profile analysis, this book offers comprehensive discussions of commonly encountered multivariate data and also covers some;

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A Course in Time Series Analysis

New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time;

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Time Series Analysis

sciences who want to know how time series can be used in their areas of research. The book provides useful examples that show the operational;

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Linear Models and TimeSeries Analysis

A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA;

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Multivariate Time Series Analysis

An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With;

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Statistical Techniques for Neuroscientists

series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood;

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Multivariate Survival Analysis and Competing Risks

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It;

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Multivariate Survival Analysis and Competing Risks

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It;

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Statistical Learning and Modeling in Data Analysis

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series;

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Group Invariance In Statistical Inference

many statistical problems exhibit such properties. In statistical analysis with large numbers of variables, the invariance approach is becoming;

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Time Series Algorithms Recipes

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem;

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Time Series

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych;

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Time Series

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych;

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Bayesian Multivariate Time Series Methods for Empirical Macroeconomics

Bayesian Multivariate Time Series Methods for Empirical Macroeconomics provides a survey of the Bayesian methods used in modern empirical;

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The Analysis of Time Series

, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral;

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The Analysis of Time Series

, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral;

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Functional Connectivity, An Issue of Neuroimaging Clinics of North America

This issue of Neuroimaging Clinics of North America focuses on Functional Connectivity, and is edited by Dr. Jay Pillai. Articles will;

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