Data mining for business analytics: concepts, techniques, and applications in R G Shmueli, PC Bruce, I Yahav, NR Patel, KC Lichtendahl Jr John Wiley & Sons, 2017 | 291 | 2017 |
Is it better to average probabilities or quantiles? KC Lichtendahl Jr, Y Grushka-Cockayne, RL Winkler Management Science 59 (7), 1594-1611, 2013 | 158 | 2013 |
Practical time series forecasting with r: A hands-on guide G Shmueli, KC Lichtendahl Jr Axelrod schnall publishers, 2016 | 143 | 2016 |
Incentives in a stage‐gate process RO Chao, KC Lichtendahl Jr, Y Grushka‐Cockayne Production and Operations Management 23 (8), 1286-1298, 2014 | 81 | 2014 |
Trimmed opinion pools and the crowd's calibration problem VRR Jose, Y Grushka-Cockayne, KC Lichtendahl Jr Management Science 60 (2), 463-475, 2014 | 74 | 2014 |
Ensembles of overfit and overconfident forecasts Y Grushka-Cockayne, VRR Jose, KC Lichtendahl Jr Management Science 63 (4), 1110-1130, 2017 | 72 | 2017 |
Probability elicitation, scoring rules, and competition among forecasters KC Lichtendahl Jr, RL Winkler Management Science 53 (11), 1745-1755, 2007 | 67 | 2007 |
Probability forecasts and their combination: A research perspective RL Winkler, Y Grushka-Cockayne, KC Lichtendahl Jr, VRR Jose Decision Analysis 16 (4), 239-260, 2019 | 60 | 2019 |
The wisdom of competitive crowds KC Lichtendahl Jr, Y Grushka-Cockayne, PE Pfeifer Operations Research 61 (6), 1383-1398, 2013 | 60 | 2013 |
Debiasing expert overconfidence: A Bayesian calibration model RT Clemen, KC Lichtendahl PSAM6, San Juan, Puerto Rico, 2002 | 55 | 2002 |
Why do some combinations perform better than others? KC Lichtendahl Jr, RL Winkler International Journal of Forecasting 36 (1), 142-149, 2020 | 41 | 2020 |
Quantile evaluation, sensitivity to bracketing, and sharing business payoffs Y Grushka-Cockayne, KC Lichtendahl Jr, VRR Jose, RL Winkler Operations Research 65 (3), 712-728, 2017 | 38 | 2017 |
Multiplicative utilities for health and consumption KC Lichtendahl Jr, SE Bodily Decision Analysis 9 (4), 314-328, 2012 | 14 | 2012 |
The promise of prediction contests PE Pfeifer, Y Grushka-Cockayne, KC Lichtendahl Jr The American Statistician 68 (4), 264-270, 2014 | 12 | 2014 |
Habit formation from correlation aversion KC Lichtendahl Jr, RO Chao, SE Bodily Operations research 60 (3), 625-637, 2012 | 12 | 2012 |
Averaging probability forecasts: Back to the future RL Winkler, Y Grushka-Cockayne, KC Lichtendahl, VRR Jose Harvard Business School, 2018 | 10 | 2018 |
Extremizing and antiextremizing in Bayesian ensembles of binary-event forecasts KC Lichtendahl Jr, Y Grushka-Cockayne, VR Jose, RL Winkler Operations Research 70 (5), 2998-3014, 2022 | 9 | 2022 |
Prizes on crowdsourcing platforms: An equilibrium analysis of competing contests KI Stouras, S Erat, KC Lichtendahl Jr Proceedings of the 21st ACM Conference on Economics and Computation, 875-876, 2020 | 9 | 2020 |
Apoc business process reengineering big data study B De Reyck, X Guo, Y Grushka-Cockayne, KC Lichtendahl Jr, A Karasev, ... Final Report, 2016 | 6 | 2016 |
Bayesian models of expert forecasts KC Lichtendahl Jr Dissertation Abstracts International 68 (05), 2006 | 5 | 2006 |