James W Taylor

James W Taylor

University of Oxford

H-index: 44

Europe-United Kingdom

About James W Taylor

James W Taylor, With an exceptional h-index of 44 and a recent h-index of 35 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Forecasting, Time Series.

His recent articles reflect a diverse array of research interests and contributions to the field:

Angular Combining of Forecasts of Probability Distributions

Probabilistic load forecasting using post-processed weather ensemble predictions

Feature importance in the age of explainable AI: Case study of detecting fake news & misinformation via a multi-modal framework

Combining probabilistic forecasts of COVID-19 mortality in the United States

Scores for multivariate distributions and level sets

A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies

Probabilistic forecasting of patient waiting times in an emergency department

Forecasting value at risk and expected shortfall using a model with a dynamic omega ratio

James W Taylor Information

University

Position

Professor of Decision Science Said Business School

Citations(all)

10508

Citations(since 2020)

4342

Cited By

8054

hIndex(all)

44

hIndex(since 2020)

35

i10Index(all)

60

i10Index(since 2020)

54

Email

University Profile Page

Google Scholar

James W Taylor Skills & Research Interests

Forecasting

Time Series

Top articles of James W Taylor

Title

Journal

Author(s)

Publication Date

Angular Combining of Forecasts of Probability Distributions

arXiv preprint arXiv:2305.16735

James W Taylor

Xiaochun Meng

2023/5/26

Probabilistic load forecasting using post-processed weather ensemble predictions

Journal of the Operational Research Society

Nicole Ludwig

Siddharth Arora

James W Taylor

2023/3/4

Feature importance in the age of explainable AI: Case study of detecting fake news & misinformation via a multi-modal framework

European Journal of Operational Research

Ajay Kumar

James W Taylor

2023/10/4

Combining probabilistic forecasts of COVID-19 mortality in the United States

European Journal of Operational Research

James W Taylor

Kathryn S Taylor

2023/1/1

Scores for multivariate distributions and level sets

Operations Research

Xiaochun Meng

James W Taylor

Souhaib Ben Taieb

Siran Li

2023/7/24

A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies

Journal of forecasting

Carlos Trucíos

James W Taylor

2023/7

Probabilistic forecasting of patient waiting times in an emergency department

Manufacturing & Operations Management

Siddharth Arora

James W. Taylor

Ho-Yin Mak

2023

Forecasting value at risk and expected shortfall using a model with a dynamic omega ratio

Journal of Banking & Finance

James W Taylor

2022/7/1

Interval forecasts of weekly incident and cumulative COVID-19 mortality in the United States: A comparison of combining methods

PloS one

Kathryn S Taylor

James W Taylor

2022/3/29

Comparing probabilistic forecasts of the daily minimum and maximum temperature

International Journal of Forecasting

Xiaochun Meng

James W Taylor

2022/1/1

Forecasts of weekly incident and cumulative COVID-19 mortality in the United States: A comparison of combining methods

medRxiv

Kathryn S Taylor

James W Taylor

2021/7/16

Evaluating quantile-bounded and expectile-bounded interval forecasts

International Journal of Forecasting

James W Taylor

2021/4/1

Hierarchical probabilistic forecasting of electricity demand with smart meter data

Journal of the American Statistical Association

Souhaib Ben Taieb

James W Taylor

Rob J Hyndman

2021/1/2

Harnessing the Wisdom of the Crowd to Forecast Incident and Cumulative COVID-19 Mortality in the United States (preprint)

Kathryn S Taylor

James W Taylor

2021

A strategic predictive distribution for tests of probabilistic calibration

International Journal of Forecasting

James W Taylor

2020/10/1

Forecast combinations for value at risk and expected shortfall

International Journal of Forecasting

James W Taylor

2020/4/1

Estimating value-at-risk and expected shortfall using the intraday low and range data

European Journal of Operational Research

Xiaochun Meng

James W Taylor

2020/1/1

Further empirical evidence on the forecasting of volatility with smooth transition exponential smoothing

Economic Modelling

Min Liu

James W Taylor

Wei-Chong Choo

2020/12/1

See List of Professors in James W Taylor University(University of Oxford)

Co-Authors

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