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Some quick sign tests for trend in location and dispersion
David Roxbee Cox and Alan Stuart · 1955
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Dynamical Systems and Turbulence, Warwick 1980: Proceedings of a Symposium Held at the University of Warwick 1979/80
Floris Takens · 1981
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Present position and potential developments: Some personal views statistical theory the prequential approach
A Philip Dawid · 1984
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Exponential smoothing: The state of the art
Everette S Gardner Jr · 1985
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Multivariate adaptive regression splines
Jerome H Friedman et al · 1991
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Determining embedding dimension for phase-space reconstruction using a geometrical construction
Matthew B Kennel, Reggie Brown, and Henry DI Abarbanel · 1992
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Time-series analysis supported by power transformations
Víctor M Guerrero · 1993
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Combining instance-based and model-based learning
J Ross Quinlan · 1993
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Neural network models for time series forecasts
Tim Hill, Marcus O’Connor, and William Remus · 1996
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The lack of a priori distinctions between learning algorithms
David H Wolpert · 1996
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Efficient progressive sampling
Foster Provost, David Jensen, and Tim Oates · 1999
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The theta model: a decomposition approach to forecasting
Vassilis Assimakopoulos and Konstantinos Nikolopoulos · 2000
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Time-series forecasting
Chris Chatfield · 2000
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The m3-competition: results, conclusions and implications
Spyros Makridakis and Michele Hibon · 2000
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Random forests
Leo Breiman · 2001
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Machine learning for sequential data: A review
Thomas G Dietterich · 2002
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Why is it so difficult to beat the random walk forecast of exchange rates?
Lutz Kilian and Mark P Taylor · 2003
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kernlab – an S4 package for kernel methods in R
Alexandros Karatzoglou, Alex Smola, Kurt Hornik, and Achim Zeileis · 2004
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Another look at measures of forecast accuracy
Rob J Hyndman and Anne B Koehler · 2006
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Characteristic-based clustering for time series data
Xiaozhe Wang, Kate Smith, and Rob Hyndman · 2006
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Application of machine learning techniques for supply chain demand forecasting
Real Carbonneau, Kevin Laframboise, and Rustam Vahidov · 2008
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forecast: Forecasting functions for time series and linear models
Rob J Hyndman, with contributions from George Athanasopoulos, Slava Razbash, Drew Schmidt, Zhenyu Zhou, Yousaf Khan, Christoph Bergmeir, and Earo Wang · 2014
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Cubist: Rule- and Instance-Based Regression Modeling
Max Kuhn, Steve Weston, Chris Keefer, and Nathan Coulter. C code for Cubist by Ross Quinlan · 2014
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Time series analysis: forecasting and control
George EP Box, Gwilym M Jenkins, Gregory C Reinsel, and Greta M Ljung · 2015
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ranger: A Fast Implementation of Random Forests
Marvin N. Wright · 2015
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Convolutional lstm network: A machine learning approach for precipitation nowcasting
SHI Xingjian, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo · 2015
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earth: Multivariate Adaptive Regression Splines
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An empirical comparison of machine learning models for time series forecasting
Nesreen K Ahmed, Amir F Atiya, Neamat El Gayar, and Hisham El-Shishiny · 2010
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Regularization paths for generalized linear models via coordinate descent
Jerome Friedman, Trevor Hastie, and Robert Tibshirani · 2010
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Knowledge discovery from data streams
Joao Gama · 2010
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Joon Lee and Roger G Mark · 2010
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Forecasting time series with complex seasonal patterns using exponential smoothing
Alysha M De Livera, Rob J Hyndman, and Ralph D Snyder · 2011
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A review and comparison of strategies for multi-step ahead time series forecasting based on the nn5 forecasting competition
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S. Milborrow · 2016
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Machine learning methods for solar radiation forecasting: A review
Cyril Voyant, Gilles Notton, Soteris Kalogirou, Marie-Laure Nivet, Christophe Paoli, Fabrice Motte, and Alexis Fouilloy · 2017
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Forecasting: principles and practice
Rob J Hyndman and George Athanasopoulos · 2018
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Statistical and machine learning forecasting methods: Concerns and ways forward
Spyros Makridakis, Evangelos Spiliotis, and Vassilios Assimakopoulos · 2018
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Forecasting at scale
Sean J Taylor and Benjamin Letham · 2018
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Time series prediction: forecasting the future and understanding the past
Andreas S Weigend · 2018
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Arbitrage of forecasting experts
Vitor Cerqueira, Luís Torgo, Fábio Pinto, and Carlos Soares · 2019
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tsdl: Time Series Data Library
Rob Hyndman and Yangzhuoran Yang · 2019
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Generalized linear models
Peter McCullagh · 2019
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