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When do the USDA forecasters make mistakes?

Isengildina-Massa, Olga; Karali, Berna; Irwin, Scott H. - In: Applied economics 45 (2013) 34/36, pp. 5086-5103

Persistent link: https://www.econbiz.de/10010226416

Do markets correct for smoothing in USDA crop production forecasts? : evidence from private analysts and futures prices

Isengildina-Massa, Olga; Karali, Berna; Irwin, Scott H. - In: Applied economic perspectives and policy 39 (2017) 4, pp. 559-583

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Can cattle basis forecasts be improved? : a Bayesian model averaging approach

Payne, Nicholas D.; Karali, Berna; Dorfman, Jeffrey H. - In: Journal of agricultural and applied economics : JAEE 51 (2019) 2, pp. 249-266

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Can private forecasters beat the USDA? : analysis of relative accuracy of crop acreage and production forecasts

Isengildina-Massa, Olga; Karali, Berna; Irwin, Scott H. - In: Journal of agricultural and applied economics : JAEE 52 (2020) 4, pp. 545-561

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Bagging binary and quantile predictors for time series

Lee, Tae-hwy; Yang, Yang - In: Journal of econometrics 135 (2006) 1/2, pp. 465-497

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Predicting hotel demand using destination marketing organization's web traffic data

Yang, Yang; Pan, Bing; Song, Haiyan - In: Journal of travel research : a quarterly publication of … 53 (2014) 4, pp. 433-447

Persistent link: https://www.econbiz.de/10010379414

Mortality forecasting using factor models : time-varying or time-invariant factor loadings?

He, Lingyu; Huang, Fei; Shi, Jianjie; Yang, Yanrong - In: Insurance / Mathematics & economics 98 (2021), pp. 14-34

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A modified Teunter-Syntetos-Babai method for intermittent demand forecasting

Yang, Youpeng; Ding, Chenyi; Lee, Sanghyuk; Yu, Limin; … - In: Journal of management science and engineering 6 (2021) 1, pp. 53-63

Intermittent demand refers to the specific demand pattern with frequent periods of zero demand. It occurs in a variety of industries including industrial equipment, automotive and specialty chemicals. In some industries or some sectors of industry, even majority of products are in intermittent...

Persistent link: https://www.econbiz.de/10013206065

Insurance premium prediction via gradient tree-boosted tweedie compound poisson models

Yang, Yi; Qian, Wei; Zou, Hui - In: Journal of business & economic statistics : JBES ; a … 36 (2018) 3, pp. 456-470

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Can deep learning predict risky retail investors? : A case study in financial risk behavior forecasting

Kim, A.; Yang, Y.; Lessmann, Stefan; Ma, Tiejun; Sung, M.-C. - In: European journal of operational research : EJOR 283 (2020) 1, pp. 217-234

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