Add Literature section

tex/references.bib

@@ -7,6 +7,25 @@ volume={129},
 pages={263--286}
 }
 
+@article{assimakopoulos2000,
+title={The theta model: a decomposition approach to forecasting},
+author={Assimakopoulos, Vassilis and Nikolopoulos, Konstantinos},
+year={2000},
+journal={International Journal of Forecasting},
+volume={16},
+number={4},
+pages={521--530}
+}
+
+@inproceedings{bao2004,
+title={Forecasting intermittent demand by SVMs regression},
+author={Bao, Yukun and Wang, Wen and Zhang, Jinlong},
+year={2004},
+booktitle={2004 IEEE International Conference on Systems, Man and Cybernetics},
+volume={1},
+pages={461--466}
+}
+
 @misc{bell2018,
 title = {Forecasting at Uber: An Introduction},
 author={Bell, Franziska and Smyl, Slawek},
@@ -15,6 +34,119 @@ howpublished = {\url{https://eng.uber.com/forecasting-introduction/}},
 note = {Accessed: 2020-10-01}
 }
 
+@article{box1962,
+title={Some statistical Aspects of adaptive Optimization and Control},
+author={Box, George and Jenkins, Gwilym},
+year={1962},
+journal={Journal of the Royal Statistical Society. Series B (Methodological)},
+volume={24},
+number={2},
+pages={297--343}
+}
+
+@article{box1964,
+title={An Analysis of Transformations},
+author={Box, George and Cox, David},
+year={1964},
+journal={Journal of the Royal Statistical Society. Series B (Methodological)},
+volume={26},
+number={2},
+pages={211--252}
+}
+
+@article{box1968,
+title={Some recent Advances in Forecasting and Control},
+author={Box, George and Jenkins, Gwilym},
+year={1968},
+journal={Journal of the Royal Statistical Society.
+         Series C (Applied Statistics)},
+volume={17},
+number={2},
+pages={91--109}
+}
+
+@book{box2015,
+title={Time Series Analysis: Forecasting and Control},
+author={Box, George and Jenkins, Gwilym and Reinsel, Gregory and Ljung, Greta},
+series={Wiley Series in Probability and Statistics},
+year={2015},
+publisher={Wiley}
+}
+
+@book{breiman1984,
+title={Classification and Regression Trees},
+author={Breiman, Leo and Friedman, Jerome and Olshen, R.A.
+        and Stone, Charles},
+year={1984},
+publisher={Wadsworth}
+}
+
+@article{breiman2001,
+title={Random Forests},
+author={Breiman, Leo},
+year={2001},
+journal={Machine Learning},
+volume={45},
+number={1},
+pages={5--32}
+}
+
+@book{brockwell2016,
+title={Introduction to Time Series and Forecasting},
+author={Brockwell, Peter and Davis, Richard},
+series={Springer Texts in Statistics},
+year={2016},
+publisher={Springer}
+}
+
+@book{brown1959,
+title={Statistical Forecasting for Inventory Control},
+author={Brown, Robert},
+year={1959},
+publisher={McGraw/Hill}
+}
+
+@article{chen2006a,
+title={Hourly Water Demand Forecast Model based on Bayesian Least Squares
+       Support Vector Machine},
+author={Chen, Lei and Zhang, Tu-qiao},
+year={2006},
+journal={Journal of Tianjin University},
+volume={39},
+number={9},
+pages={1037--1042}
+}
+
+@article{chen2006b,
+title={Hourly Water Demand Forecast Model based on Least Squares Support
+       Vector Machine},
+author={Chen, Lei and Zhang, Tu-qiao},
+year={2006},
+journal={Journal of Harbin Institute of Technology},
+volume={38},
+number={9},
+pages={1528--1530}
+}
+
+@article{cleveland1990,
+title={STL: A Seasonal-Trend Decomposition Procedure Based on Loess},
+author={Cleveland, Robert and Cleveland, Williiam and McRae, Jean
+        and Terpenning, Irma},
+year={1990},
+journal={Journal of Official Statistics},
+volume={6},
+number={1},
+pages={3--73}
+}
+
+@book{dagum2016,
+title={Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation},
+author={Dagum, Estela and Bianconcini, Silvia},
+series={Statistics for Social and Behavioral Sciences},
+year={2016},
+publisher={Springer}
+}
+
 @article{de2006,
 title={25 Years of Time Series Forecasting},
 author={De Gooijer, Jan and Hyndman, Rob},
@@ -25,6 +157,16 @@ number={3},
 pages={443--473}
 }
 
+@inproceedings{drucker1997,
+title={Support Vector Regression Machines},
+author={Drucker, Harris and Burges, Christopher and Kaufman, Linda
+        and Smola, Alex and Vapnik, Vladimir},
+year={1997},
+booktitle={Advances in Neural Information Processing Systems},
+pages={155--161},
+organization={Springer}
+}
+
 @article{ehmke2018,
 title={Optimizing for total costs in vehicle routing in urban areas},
 author={Ehmke, Jan Fabian and Campbell, Ann M and Thomas, Barrett W},
@@ -34,6 +176,45 @@ volume={116},
 pages={242--265}
 }
 
+@article{gardner1985,
+title={Forecasting Trends in Time Series},
+author={Gardner, Everette and McKenzie, Ed},
+year={1985},
+journal={Management Science},
+volume={31},
+number={10},
+pages={1237--1246}
+}
+
+@article{hansen2006,
+title={Some Evidence on Forecasting Time-Series with Support Vector Machines},
+author={Hansen, James and McDonald, James and Nelson, Ray},
+year={2006},
+journal={Journal of the Operational Research Society},
+volume={57},
+number={9},
+pages={1053--1063}
+}
+
+@book{hastie2013,
+title={The Elements of Statistical Learning: Data Mining, Inference,
+       and Prediction},
+author={Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
+year={2013},
+publisher={Springer}
+}
+
+@article{herrera2010,
+title={Predictive Models for Forecasting Hourly Urban Water Demand},
+author={Herrera, Manuel and Torgo, Lu{\'\i}s and Izquierdo, Joaqu{\'\i}n
+        and P{\'e}rez-Garc{\'\i}a, Rafael},
+year={2010},
+journal={Journal of Hydrology},
+volume={387},
+number={1-2},
+pages={141--150}
+}
+
 @misc{hirschberg2016,
 title = {McKinsey: The changing market for food delivery},
 author={Hirschberg, Carsten and Rajko, Alexander and Schumacher, Thomas
@@ -44,6 +225,25 @@ howpublished = "\url{https://www.mckinsey.com/industries/high-tech/
 note = {Accessed: 2020-10-01}
 }
 
+@article{ho1998,
+title={The Random Subspace Method for Constructing Decision Forests},
+author={Ho, Tin Kam},
+year={1998},
+journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
+volume={20},
+number={8},
+pages={832--844}
+}
+
+@article{holt1957,
+title={Forecasting Seasonals and Trends by Exponentially Weighted Moving
+       Averages},
+author={Holt, Charles},
+year={1957},
+journal={ONR Memorandum},
+volume={52}
+}
+
 @article{hou2018,
 title={Ride-matching and routing optimisation: Models and a large
        neighbourhood search heuristic},
@@ -54,6 +254,62 @@ volume={118},
 pages={143--162}
 }
 
+@article{hyndman2002,
+title={A State Space Framework for Automatic Forecasting using Exponential
+       Smoothing Methods},
+author={Hyndman, Rob and Koehler, Anne and Snyder, Ralph and Grose, Simone},
+year={2002},
+journal={International Journal of Forecasting},
+volume={18},
+number={3},
+pages={439--454}
+}
+
+@article{hyndman2003,
+title={Unmasking the Theta method},
+author={Hyndman, Rob and Billah, Baki},
+year={2003},
+journal={International Journal of Forecasting},
+volume={19},
+number={2},
+pages={287--290}
+}
+
+@article{hyndman2008a,
+title={Automatic Time Series Forecasting: The forecast package for R},
+author={Hyndman, Rob and Khandakar, Yeasmin},
+year={2008},
+journal={Journal of Statistical Software},
+volume={26},
+number={3}
+}
+
+@book{hyndman2008b,
+title={Forecasting with Exponential Smoothing: the State Space Approach},
+author={Hyndman, Rob and Koehler, Anne and Ord, Keith and Snyder, Ralph},
+year={2008},
+publisher={Springer}
+}
+
+@book{hyndman2018,
+title={Forecasting: Principles and Practice},
+author={Hyndman, Rob and Athanasopoulos, George},
+year={2018},
+publisher={OTexts}
+}
+
+@article{kwiatkowski1992,
+title={Testing the null hypothesis of stationarity against the alternative of a
+       unit root: How sure are we that economic time series have a unit root?},
+author={Kwiatkowski, Denis and Phillips, Peter and Schmidt, Peter
+        and Shin, Yongcheol},
+year={1992},
+journal={Journal of Econometrics},
+volume={54},
+number={1-3},
+pages={159--178}
+}
+
 @misc{laptev2017,
 title = {Engineering Extreme Event Forecasting
          at Uber with Recurrent Neural Networks},
@@ -74,6 +330,108 @@ volume={118},
 pages={392--420}
 }
 
+@inproceedings{mueller1997,
+title={Predicting Time Series with Support Vector Machines},
+author={M{\"u}ller, Klaus-Robert and Smola, Alexander and R{\"a}tsch, Gunnar
+        and Sch{\"o}lkopf, Bernhard and Kohlmorgen, Jens and Vapnik, Vladimir},
+year={1997},
+booktitle={International Conference on Artificial Neural Networks},
+pages={999--1004},
+organization={Springer}
+}
+
+@article{mueller1999,
+title={Using Support Vector Machines for Time Series Prediction},
+author={M{\"u}ller, Klaus-Robert and Smola, Alexander and R{\"a}tsch, Gunnar
+        and Sch{\"o}lkopf, Bernhard and Kohlmorgen, Jens and Vapnik, Vladimir},
+year={1999},
+journal={Advances in Kernel Methods — Support Vector Learning},
+pages={243--254},
+publisher={MIT, Cambridge, MA, USA}
+}
+
+@book{ord2017,
+title={Principles of Business Forecasting},
+author={Ord, Keith and Fildes, Robert and Kourentzes, Nikos},
+year={2017},
+publisher={WESSEX Press}
+}
+
+@article{pegels1969,
+title={Exponential Forecasting: Some new variations},
+author={Pegels, C.},
+year={1969},
+journal={Management Science},
+volume={15},
+number={5},
+pages={311--315}
+}
+
+@incollection{scholkopf1998,
+title={Fast Approximation of Support Vector Kernel Expansions, and an
+       Interpretation of Clustering as Approximation in Feature Spaces},
+author={Sch{\"o}lkopf, Bernhard and Knirsch, Phil and Smola, Alex
+        and Burges, Chris},
+year={1998},
+booktitle={Mustererkennung 1998},
+publisher={Springer},
+pages={125--132}
+}
+
+@article{smola2004,
+title={A Tutorial on Support Vector Regression},
+author={Smola, Alex and Sch{\"o}lkopf, Bernhard},
+year={2004},
+journal={Statistics and Computing},
+volume={14},
+number={3},
+pages={199--222}
+}
+
+@article{stitson1999,
+title={Support Vector Regression with ANOVA Decomposition Kernels},
+author={Stitson, Mark and Gammerman, Alex and Vapnik, Vladimir
+        and Vovk, Volodya and Watkins, Chris and Weston, Jason},
+year={1999},
+journal={Advances in Kernel Methods — Support Vector Learning},
+pages={285--292},
+publisher={MIT, Cambridge, MA, USA}
+}
+
+@article{taylor2003,
+title={Exponential Smoothing with a Damped Multiplicative Trend},
+author={Taylor, James},
+year={2003},
+journal={International Journal of Forecasting},
+volume={19},
+number={4},
+pages={715--725}
+}
+
+@article{vapnik1963,
+title={Pattern Recognition using Generalized Portrait Method},
+author={Vapnik, Vladimir and Lerner, A},
+year={1963},
+journal={Automation and Remote Control},
+volume={24},
+pages={774--780},
+}
+
+@article{vapnik1964,
+title={A Note on one Class of Perceptrons},
+author={Vapnik, Vladimir and Chervonenkis, A},
+year={1964},
+journal={Automation and Remote Control},
+volume={25}
+}
+
+@book{vapnik2013,
+title={The Nature of Statistical Learning Theory},
+author={Vapnik, Vladimir},
+year={2013},
+publisher={Springer}
+}
+
 @article{wang2018,
 title={Delivering meals for multiple suppliers: Exclusive or sharing
        logistics service},
@@ -82,4 +440,14 @@ year={2018},
 journal={Transportation Research Part E: Logistics and Transportation Review},
 volume={118},
 pages={496--512}
+}
+
+@article{winters1960,
+title={Forecasting Sales by Exponentially Weighted Moving Averages},
+author={Winters, Peter},
+year={1960},
+journal={Management Science},
+volume={6},
+number={3},
+pages={324--342}
 }