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Time Series Books Categories
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A Wrinkle in Time (Time Quintet, #1)
By:
Madeleine L'Engle
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Time Series Forecasting in Python (Paperback)
By:
Marco Peixeiro
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Forecasting: principles and practice (Paperback)
By:
Rob J. Hyndman
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A Swiftly Tilting Planet (Time Quintet, #3)
By:
Madeleine L'Engle
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A Wind in the Door (Time Quintet, #2)
By:
Madeleine L'Engle
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Time Series Analysis (Hardcover)
By:
James Douglas Hamilton
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Time Series Analysis: With Applications in R (Springer Texts in Statistics)
By:
Jonathan D. Cryer
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Many Waters (Time Quintet, #4)
By:
Madeleine L'Engle
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Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods (Paperback)
By:
Ben Auffarth
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Analysis of Financial Time Series (Wiley Series in Probability and Statistics)
By:
Ruey S. Tsay
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Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
By:
Robert H. Shumway
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Introductory Time Series with R (Use R!)
By:
Paul S.P. Cowpertwait
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Echoes (Paperback)
By:
Nancy Campbell Allen
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Love Beyond Time (Paperback)
By:
Nancy Campbell Allen
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A Time for the Heart (Paperback)
By:
Nancy Campbell Allen
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No Time for Love (Paperback)
By:
Nancy Campbell Allen
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An Acceptable Time (Time Quintet, #5)
By:
Madeleine L'Engle
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Time Series: Modeling, Computation, and Inference (Chapman & Hall/CRC Texts in Statistical Science)
By:
Raquel Prado
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Time Series Forecasting with Python and XGBoost: An Ultimate Guide from a Data Scientist, How to Master Time Series with Supervised Machine Learning Methods (Kindle Edition)
By:
Dario Radečić
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Time Series: Theory and Methods: Time Series: Theory and Methods (Springer Series in Statistics)
By:
Peter J. Brockwell
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Targeted Learning: Causal Inference for Observational and Experimental Data (Springer Series in Statistics)
By:
Mark J. van der Laan
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Introduction to Modern Time Series Analysis (Hardcover)
By:
Gebhard Kirchgässner
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Forecasting Time Series Data with Facebook Prophet: Build, improve, and optimize time series forecasting models using the advanced forecasting tool (Kindle Edition)
By:
Greg Rafferty
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Introduction to Time Series Analysis and Forecasting (Hardcover)
By:
Douglas C. Montgomery
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The Analysis of Time Series: An Introduction (Paperback)
By:
Chris Chatfield
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Nonlinear Time Series Analysis (Paperback)
By:
Holger Kantz
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Exploratory Causal Analysis with Time Series Data (Synthesis Lectures on Data Mining and Knowledge Discovery)
By:
James M. McCracken
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Characterizing Interdependencies of Multiple Time Series: Theory and Applications (JSS Research Series in Statistics)
By:
Yuzo Hosoya
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Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR (Paperback)
By:
Joos Korstanje
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Extracting Knowledge From Time Series: An Introduction to Nonlinear Empirical Modeling (Springer Series in Synergetics)
By:
Boris P. Bezruchko
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Regression Analysis with Python (Paperback)
By:
Alberto Boschetti
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Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)
By:
Frank E. Harrell Jr.
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Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics)
By:
Frank E. Harrell Jr.
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Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas (Kindle Edition)
By:
Manu Joseph
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Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning (Kindle Edition)
By:
Manu Joseph
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Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation (Kindle Edition)
By:
Tarek A. Atwan
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Time Series Econometrics: Learning Through Replication (Springer Texts in Business and Economics)
By:
John D. Levendis
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Statistics and Econometric Models: Volume One (Paperback)
By:
Gourieroux/Monfort/Vuong
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Applied Time Series Econometrics (Themes in Modern Econometrics)
By:
Helmut Lütkepohl
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Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)
By:
Ivan Gridin
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Machine Learning for Time Series Forecasting with Python (Kindle Edition)
By:
Francesca Lazzeri
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Past Present Future (Rowan & Neil, #2)
By:
Rachel Lynn Solomon
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Today Tonight Tomorrow (Rowan & Neil, #1)
By:
Rachel Lynn Solomon
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Change Detection and Image Time-Series Analysis 1: Unervised Methods (Kindle Edition)
By:
Abdourrahmane M Atto
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Change Detection and Image Time Series Analysis 2: Supervised Methods (Kindle Edition)
By:
Abdourramahn Atto
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Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection (Kindle Edition)
By:
Vitor Cerqueira
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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)
By:
Carl Edward Rasmussen
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An Introduction to Sequential Monte Carlo (Hardcover)
By:
Nicolas Chopin