S
Shari De Baets
Researcher at Ghent University
Publications - 17
Citations - 325
Shari De Baets is an academic researcher from Ghent University. The author has contributed to research in topics: Cognitive style & Demand forecasting. The author has an hindex of 7, co-authored 16 publications receiving 183 citations. Previous affiliations of Shari De Baets include Katholieke Universiteit Leuven.
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Forecasting: theory and practice
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,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,Nikolaos Kourentzes,Sonia Leva,Feng Li,Konstantia Litsiou,Spyros Makridakis,Gael M. Martin,Andrew B. Martinez,Andrew B. Martinez,Sheik Meeran,Theodore Modis,Konstantinos Nikolopoulos,Dilek Önkal,Alessia Paccagnini,Alessia Paccagnini,Anastasios Panagiotelis,Ioannis P. Panapakidis,Jose M. Pavía,Manuela Pedio,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 D. Thomakos,Thordis L. Thorarinsdottir,Ezio Todini,Juan Ramón Trapero Arenas,Xiaoqian Wang,Robert L. Winkler,Alisa Yusupova,Florian Ziel +84 more
TL;DR: A non-systematic review of the theory and the practice of forecasting, offering a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts.
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Using judgment to select and adjust forecasts from statistical models
Shari De Baets,Nigel Harvey +1 more
TL;DR: Both experiments show that forecasters have ability to use and learn from visual records of past performance to select and adjust model-based forecasts appropriately.
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Investigating the added value of integrating human judgement into statistical demand forecasting systems
TL;DR: In this article, the authors compare two different ways of combining statistical and judgmental forecasting, employing real-life data from an international publishing company that produces weekly forecasts on regular and exceptional products.
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Forecasting from time series subject to sporadic perturbations: Effectiveness of different types of forecasting support
TL;DR: The additional effort required to produce forecasts that take promotional effects into account is worthwhile, and the effort invested in producing cleansed time series from which to forecast may not be warranted.
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Judgmental forecast adjustments over different time horizons
Maud Van den Broeke,Maud Van den Broeke,Shari De Baets,Shari De Baets,Ann Vereecke,Ann Vereecke,Philippe Baecke,Philippe Baecke,Karlien Vanderheyden +8 more
TL;DR: In this paper, the authors studied the impact of judgmental forecast adjustments over different time horizons and found that closer to the sales point, the number of adjustments increases and adjustments become larger and more positive.