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Forecasting Time Series Data with Facebook Prophet

Create and improve high-quality automated forecasts for time series data that have strong seasonal effects, holidays, and additional;

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Machine Learning for Time Series Forecasting with Python

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for;

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Practical Time Series Forecasting with R

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series;

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Introduction To Time Series Analysis And Forecasting

weighted and generalized least squares Exponential smoothing techniques for time series with polynomial components and seasonal data Forecasting;

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Hands-On Time Series Analysis with R

series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and;

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Advanced Time Series Data Analysis

models Contains over 200 illustrative examples with special notes and comments Applicable for time series data of all quantitative studies;

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Practical Time Series Forecasting

series forecasting capabilities can be used with the book. Galit Shmueli is the SRITNE Chaired Professor of Data Analytics at the Indian School;

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Introduction To Time Series Analysis & F

Edition presents the underlying theories of time series analysis that are needed to analyze time-oriented data and construct real-world short- to;

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Statistical Learning for Big Dependent Data

large and dynamically dependent data sets. The book presents automatic procedures for modelling and forecasting large sets of time series data;

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Theory and Applications of Time Series Analysis

analysis. The remaining four parts include practical contributions on time series analysis in energy; complex/big data time series and forecasting;

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Time Series Analysis and Forecasting by Example

An intuition-based approach enables you to master time series analysis with ease Time Series Analysis and Forecasting by Example provides;

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Time Series Models for Business and Economic Forecasting

analysis. The early parts of the book focus on the typical features of time series data in business and economics. Part III is concerned with the;

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Applied Time Series

. It includes a complete theoretical development of univariate time series models with each step demonstrated with an analysis of real time;

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Time Series Algorithms Recipes

-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical;

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Practical Time Series Forecasting with R

Practical Time Series Forecasting with R is een boek van Galit Shmueli;

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Advanced Forecasting with Python

Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to;

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Universal Time-Series Forecasting with Mixture Predictors

The author considers the problem of sequential probability forecasting in the most general setting, where the observed data may exhibit an;

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Applied Bayesian Forecasting and Time Series Analysis

dynamic linear mode (DLM). They include a complete theoretical development of the DLM and illustrate each step with analysis of time series data;

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Applied Bayesian Forecasting and Time Series Analysis

dynamic linear mode (DLM). They include a complete theoretical development of the DLM and illustrate each step with analysis of time series data;

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Practical Time Series Analysis

of statistical techniques to deal with non-stationarity time series * Take advantage of exponential smoothing to tackle noise in time series data;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

Leave your crystal ball behind and peer into the future with SAPPredictive Analytics. Master predictive models-regression, time series;

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Time Series Analysis and Adjustment

analysis has long involved what is known as econometrics, but time series analysis is a different approach driven more by data than economic theory;

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Time Series Analysis and Adjustment

analysis has long involved what is known as econometrics, but time series analysis is a different approach driven more by data than economic theory;

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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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Applied Economic Forecasting using Time Series Methods

forecasting problems. Applied Economic Forecasting using Time Series Methods starts with a brief review of basic regression analysis with a focus on;

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Time Series Analysis

multivariate time series methods, with coverage of the most recently developed techniques in the field. With its broad coverage of methodology, it is a;

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Economic Forecasting

as empirical methods: business cycle analysis, time series methods, macroeconomic models, medium and long-run projections, fiscal and;

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