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James W. Taylor
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2020 – today
- 2024
- [j18]Ajay Kumar, James W. Taylor:
Feature importance in the age of explainable AI: Case study of detecting fake news & misinformation via a multi-modal framework. Eur. J. Oper. Res. 317(2): 401-413 (2024) - 2023
- [j17]James W. Taylor, Kathryn S. Taylor:
Combining probabilistic forecasts of COVID-19 mortality in the United States. Eur. J. Oper. Res. 304(1): 25-41 (2023) - [j16]Nicole Ludwig, Siddharth Arora, James W. Taylor:
Probabilistic load forecasting using post-processed weather ensemble predictions. J. Oper. Res. Soc. 74(3): 1008-1020 (2023) - [j15]Siddharth Arora, James W. Taylor, Ho-Yin Mak:
Probabilistic Forecasting of Patient Waiting Times in an Emergency Department. Manuf. Serv. Oper. Manag. 25(4): 1489-1508 (2023) - 2020
- [j14]Xiaochun Meng, James W. Taylor:
Estimating Value-at-Risk and Expected Shortfall using the intraday low and range data. Eur. J. Oper. Res. 280(1): 191-202 (2020)
2010 – 2019
- 2018
- [j13]Siddharth Arora, James W. Taylor:
Rule-based autoregressive moving average models for forecasting load on special days: A case study for France. Eur. J. Oper. Res. 266(1): 259-268 (2018) - [j12]James W. Taylor, Jooyoung Jeon:
Probabilistic forecasting of wave height for offshore wind turbine maintenance. Eur. J. Oper. Res. 267(3): 877-890 (2018) - 2017
- [j11]James W. Taylor:
Probabilistic forecasting of wind power ramp events using autoregressive logit models. Eur. J. Oper. Res. 259(2): 703-712 (2017) - [c1]Souhaib Ben Taieb, James W. Taylor, Rob J. Hyndman:
Coherent Probabilistic Forecasts for Hierarchical Time Series. ICML 2017: 3348-3357 - 2012
- [j10]James W. Taylor:
Density Forecasting of Intraday Call Center Arrivals Using Models Based on Exponential Smoothing. Manag. Sci. 58(3): 534-549 (2012) - 2011
- [j9]James W. Taylor:
Multi-item sales forecasting with total and split exponential smoothing. J. Oper. Res. Soc. 62(3): 555-563 (2011) - 2010
- [j8]James W. Taylor:
Triple seasonal methods for short-term electricity demand forecasting. Eur. J. Oper. Res. 204(1): 139-152 (2010) - [j7]Henrique S. Hippert, James W. Taylor:
An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting. Neural Networks 23(3): 386-395 (2010)
2000 – 2009
- 2008
- [j6]James W. Taylor:
A Comparison of Univariate Time Series Methods for Forecasting Intraday Arrivals at a Call Center. Manag. Sci. 54(2): 253-265 (2008) - 2007
- [j5]James W. Taylor:
Forecasting daily supermarket sales using exponentially weighted quantile regression. Eur. J. Oper. Res. 178(1): 154-167 (2007) - 2005
- [j4]James W. Taylor:
Generating Volatility Forecasts from Value at Risk Estimates. Manag. Sci. 51(5): 712-725 (2005) - 2003
- [j3]James W. Taylor:
Short-term electricity demand forecasting using double seasonal exponential smoothing. J. Oper. Res. Soc. 54(8): 799-805 (2003) - 2000
- [j2]Lilian M. de Menezes, Derek W. Bunn, James W. Taylor:
Review of guidelines for the use of combined forecasts. Eur. J. Oper. Res. 120(1): 190-204 (2000) - [j1]James W. Taylor, S. Majithia:
Using combined forecasts with changing weights for electricity demand profiling. J. Oper. Res. Soc. 51(1): 72-82 (2000)
Coauthor Index
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