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Siddharth Arora,
James Taylor

Management Science

Nicole Ludwig,
Siddharth Arora,
James W Taylor

Management Science

A Tsanas,
S Arora

Management Science

James Taylor

Management Science

James Taylor,
Kathryn Taylor

Management Science

Carlos Trucios,
James W Taylor

Management Science

Siddharth Arora,
Athanasios Tsanas

Management Science

Stephen Haben,
Siddharth Arora,
Georgios Giasemidis,
Marcus Voss,
Danica Vukadinović Greetham

Management Science

Xiaochun Meng,
James Taylor

Management Science

JAMES TAYLOR,
Kathryn S TAYLOR

Management Science

Fay Probert,
Tianrong Yeo,
Yifan Zhou,
Megan Sealey,
Siddharth Arora,
Jacqueline Palace,
Timothy DW Claridge,
Rainer Hillenbrand,
Johanna Oechtering,
David Leppert,
Jens Kuhle,
Daniel C Anthony

Management Science

S Arora,
A Brintrup

Management Science

Christine Lo,
Siddharth Arora,
Yoav Ben-Shlomo,
Thomas R Barber,
Michael Lawton,
Johannes C Klein,
Sofia Kanavou,
Annette Janzen,
Elisabeth Sittig,
Wolfgang H Oertel,
Donald G Grosset,
Michele T Hu

Management Science

Siddharth Arora,
Christine Lo,
Michele Hu,
Athanasios Tsanas

Management Science

Carlos Trucíos,
James W Taylor

Management Science

Min Liu,
James W Taylor,
Wei-Chong Choo

Management Science

James Taylor

Management Science

James Taylor

Management Science

Kathryn S Taylor,
James Taylor

Management Science

Siddharth Arora,
James W Taylor,
Ho-Yin Mak

Management Science

Probabilistic forecasting of patient waiting times in an emergency department(opens in new window)

Probabilistic load forecasting using post-processed weather ensemble predictions(opens in new window)

Data-Driven Subtyping of Parkinson’s Using Acoustic Analysis of Sustained Vowels and Cluster Analysis: Findings in the Parkinson’s Voice Initiative Study(opens in new window)

Forecasting value at risk and expected shortfall using a model with a dynamic omega ratio(opens in new window)

Interval forecasts of weekly incident and cumulative COVID-19 mortality in the United States: a comparison of combining methods(opens in new window)

A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies(opens in new window)

Assessing Parkinson's disease at scale using telephone-recorded speech: Insights from the Parkinson's Voice Initiative(opens in new window)

Review of low voltage load forecasting: methods, applications, and recommendations(opens in new window)

Comparing probabilistic forecasts of the daily minimum and maximum temperature(opens in new window)

Combining Probabilistic Forecasts of COVID-19 Mortality in the United States

Integrative biochemical, proteomics and metabolomics cerebrospinal fluid biomarkers predict clinical conversion to multiple sclerosis (opens in new window)

How does the position of firms in the supply chain affect their performance? An empirical study(opens in new window)

Olfactory testing in Parkinson disease and REM behavior disorder: A machine learning approach(opens in new window)

Smartphone speech testing for symptom assessment in rapid eye movement sleep behavior disorder and Parkinson's disease(opens in new window)

Forecasting Value-at-Risk and Expected Shortfall of Cryptocurrencies using Combinations based on Jump-Robust and Regime-Switching Models

Further empirical evidence on the forecasting of volatility with smooth transition exponential smoothing(opens in new window)

Evaluating quantile-bounded and expectile-bounded interval forecasts(opens in new window)

Evaluating Quantile-Bounded and Expectile-Bounded Interval Forecasts

A comparison of aggregation methods for probabilistic forecasts of COVID-19 mortality in the United States(opens in new window)

Probabilistic Forecasting of Patient Waiting Times in an Emergency Department

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Combining Probabilistic Forecasts of COVID-19 Mortality in the United States

Forecasting Value-at-Risk and Expected Shortfall of Cryptocurrencies using Combinations based on Jump-Robust and Regime-Switching Models

Evaluating Quantile-Bounded and Expectile-Bounded Interval Forecasts

Probabilistic Forecasting of Patient Waiting Times in an Emergency Department