Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery

Autor: Don Vicendese, Luc Te Marvelde, Peter D. McNair, Kathryn Whitfield, Dallas R. English, Souhaib Ben Taieb, Rob J. Hyndman, Robert Thomas

Publikováno v: Australian and New Zealand Journal of Public Health, Vol 44, Iss 1, Pp 73-82 (2020)

Abstract Objective: Length of hospital stay (LOS) is considered a vital component for successful colorectal surgery treatment. Evidence of an association between hospital surgery volume and LOS has been mixed. Data modelling techniques may give incon

Externí odkaz: https://doaj.org/article/7d05e5704bb843599125539b8c1aa678

Non‐linear mixed‐effects models for time series forecasting of smart meter demand

Autor: Souhaib Ben Taieb, Cameron Roach, Rob J. Hyndman

Publikováno v: Journal of Forecasting. 40:1118-1130

Buildings are typically equipped with smart meters to measure electricity demand at regular intervals. Smart meter data for a single building have many uses, such as forecasting and assessing overall building performance. However, when data are avail

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::743c5afa9d057ca74392e3a3602e00e5
https://doi.org/10.1002/for.2750

Forecasting : theory and practice

Autor: Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, M. Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li, Konstantia Litsiou, Spyros Makridakis, Gael M. Martin, Andrew B. Martinez, Sheik Meeran, Theodore Modis, Konstantinos Nikolopoulos, Dilek Önkal, Alessia Paccagnini, Anastasios Panagiotelis, Ioannis Panapakidis, Jose M. Pavía, Manuela Pedio, Diego J. Pedregal, Pierre Pinson, Patrícia Ramos, David E. Rapach, J. James Reade, Bahman Rostami-Tabar, Michał Rubaszek, Georgios Sermpinis, Han Lin Shang, Evangelos Spiliotis, Aris A. Syntetos, Priyanga Dilini Talagala, Thiyanga S. Talagala, Len Tashman, Dimitrios Thomakos, Thordis Thorarinsdottir, Ezio Todini, Juan Ramón Trapero Arenas, Xiaoqian Wang, Robert L. Winkler, Alisa Yusupova, Florian Ziel

Publikováno v: INTERNATIONAL JOURNAL OF FORECASTING
Petropoulos, F, Apiletti, D, Assimakopoulos, V, Babai, M Z, Barrow, D K, Ben Taieb, S, Bergmeir, C, Bessa, R J, Bijak, J, Boylan, J E, Browell, J, Carnevale, C, Castle, J L, Cirillo, P, Clements, M P, Cordeiro, C, Cyrino Oliveira, F L, De Baets, S, Dokumentov, A, Ellison, J, Fiszeder, P, Franses, P H, Frazier, D T, Gilliland, M, Gönül, M S, Goodwin, P, Grossi, L, Grushka-Cockayne, Y, Guidolin, M, Guidolin, M, Gunter, U, Guo, X, Guseo, R, Harvey, N, Hendry, D F, Hollyman, R, Januschowski, T, Jeon, J, Jose, V R R, Kang, Y, Koehler, A B, Kolassa, S, Kourentzes, N, Leva, S, Li, F, Litsiou, K, Makridakis, S, Martin, G M, Martinez, A B, Meeran, S, Modis, T, Nikolopoulos, K, Önkal, D, Paccagnini, A, Panagiotelis, A, Panapakidis, I, Pavía, J M, Pedio, M, Pedregal, D J, Pinson, P, Ramos, P, Rapach, D E, Reade, J J, Rostami-Tabar, B, Rubaszek, M, Sermpinis, G, Shang, H L, Spiliotis, E, Syntetos, A A, Talagala, P D, Talagala, T S, Tashman, L, Thomakos, D, Thorarinsdottir, T, Todini, E, Trapero Arenas, J R, Wang, X, Winkler, R L, Yusupova, A & Ziel, F 2022, ' Forecasting: theory and practice ', International Journal of Forecasting, vol. 38, no. 3, pp. 705-871 . https://doi.org/10.1016/j.ijforecast.2021.11.001

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2416aa12fedc731d276566fae7787cf3

Online forecast reconciliation in wind power prediction

Autor: Pierre Pinson, Souhaib Ben Taieb, Chiara Di Modica

Publikováno v: Electric Power Systems Research

Increasing digitization of the electric power sector allows to further rethink forecasting problems that are crucial input to decision-making. Among other modern challenges, ensuring coherency of forecasts among various agents and at various aggregat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c421fbc5011a2f5558204d5807df253

Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions

Autor: Bonsoo Koo, Souhaib Ben Taieb

Publikováno v: KDD

Forecasting a large set of time series with hierarchical aggregation constraints is a central problem for many organizations. However, it is particularly challenging to forecast these hierarchical structures. In fact, it requires not only good foreca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2e55f320847d7ee9b4469cb3793d37ad
https://doi.org/10.1145/3292500.3330976