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Linear Factor Models in Finance

of asset pricing by concentrating on the most widely used modelling technique called: Linear Factor Modelling.Linear Factor Models;

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Non-Linear Time Series Models in Empirical Finance

Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are;

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Non-Linear Time Series Models in Empirical Finance

Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are;

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Nonlinear Models in Mathematical Finance

This book provides an overview on the current state-of-the-art research on non-linear option pricing. Non-linear models are becoming more;

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Advanced Linear Modeling

This book introduces several topics related to linear model theory, including: multivariate linear models, discriminant analysis, principal;

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Latent Variable Models and Factor Analysis

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling;

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Multivariate Time Series Analysis

illustrate related computation and analyses. Featuring the techniques and methodology of multivariate linear time series, stationary VAR models, VAR;

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State-Space Models

Parameter Learning in Nonlinear State-Space Models. The second part focuses on the application of Linear State-Space Models in Macroeconomics and;

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State-Space Models

Parameter Learning in Nonlinear State-Space Models. The second part focuses on the application of Linear State-Space Models in Macroeconomics and;

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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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Recent Advances in Estimating Nonlinear Models

number of series exhibit nonlinear dynamics as opposed to the alternative--linear dynamics. Incorporating these concepts involves deriving and;

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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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Multi-factor Models and Signal Processing Techniques

easily implemented risk assessment-based practices. This book surveys the most widely used factor models employed within the field of financial;

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Handbook of Economic Forecasting

of Economic Forecasting . The handbook covers developments in how forecasts are constructed based on multivariate time-series models, dynamic factor;

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Linear Model Methodology

Given the importance of linear models in statistical theory and experimental research, a good understanding of their fundamental principles;

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Dynamic Factor Models

Dynamic factor models (DFM) constitute an active and growing area of research, both in econometrics, in macroeconomics, and in finance;

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Factor Analysis at 100

Factor analysis is one of the success stories of statistics in the social sciences. The reason for its wide appeal is that it provides a;

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Factor Analysis at 100

Factor analysis is one of the success stories of statistics in the social sciences. The reason for its wide appeal is that it provides a;

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Finance Theory and Asset Pricing

discrete factor structure models that mimic recent continuous time models of interest rates, money, and nominal rates and exchange rates;

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Linear Model Theory

A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data;

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A First Course in Linear Model Theory

Thoroughly updated throughout, A First Course in Linear Model Theory, Second Edition is an intermediate-level statistics text that fills an;

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SAS System for Linear Models, 4e + Linear Models in Statistics, 2e Set

This set contains: 9780471221746 SAS for Linear Models, Fourth Edition by Ramon Littell, Walter W. Stroup, Rudolf Freund and 9780471754985;

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Empirical Finance for Finance and Banking

pricing and factor models, market efficiency, modelling and forecasting exchange and interest rates and Value at Risk. Understanding these topics;

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Applied Diffusion Processes from Engineering to Finance

multidimensional linear algebra, computational probability, application of stochastic processes to economics, finance and insurance and simulation models.;

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Regression Analysis and Linear Models

independent variables. It is used in forecasting and prediction. The models used to understand and build relationships, using the linear predictor;

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Advanced R Statistical Programming and Data Models

Work on factor analysis, generalized linear mixed models, and modeling intraindividual variability Who This Book Is For Working professionals;

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