Now showing items 1-7 of 7

    • The effects of feedback and training on the performance of probability forecasters 

      Benson, P. G.; Önkal D. (Elsevier, 1992)
      An experiment examined the effects of outcome feedback and three types of performance feedback-calibration feedback, resolution feedback, and covariance feedback - on various aspects of the performance of probability ...
    • The effects of feedback on judgmental interval predictions 

      Bolger, F.; Önkal-Atay, D. (Elsevier, 2004)
      The majority of studies of probability judgment have found that judgments tend to be overconfident and that the degree of overconfidence is greater the more difficult the task. Further, these effects have been resistant ...
    • Effects of feedback on probabilistic forecasts of stock prices 

      Önkal D.; Muradoğlu, G. (1995)
      This paper reports the results of an experiment in stock-price forecasting that investigated the effects of feedback on various dimensions of probability forecasting accuracy. Three types of feedback were used: (1) simple ...
    • An exploratory analysis of portfolio managers' probabilistic forecasts of stock prices 

      Önkal D.; Muradoğlu, G. (John Wiley & Sons, 1994)
      This study reports the results of an experiment that examines (1) the effects of forecast horizon on the performance of probability forecasters, and (2) the alleged existence of an inverse expertise effect, i.e., an inverse ...
    • Feedback-labelling synergies in judgmental stock price forecasting 

      Goodwin, P.; Önkal-Atay, D.; Thomson, M. E.; Pollock, A. C.; Macaulay, A. (Elsevier, 2004)
      Research has suggested that outcome feedback is less effective than other forms of feedback in promoting learning by users of decision support systems. However, if circumstances can be identified where the effectiveness ...
    • Improved deterministic measurement model for consumer-grade accelerometers 

      Barshan, B.; Seçer, G. (Institution of Engineering and Technology, 2016)
      Deterministic error modelling, calibration and model parameter estimation of consumer-grade accelerometers is considered and improvement to the traditionally used measurement model is proposed. Calibration experiments on ...
    • Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI 

      Shahdloo, Mohammad; Ilicak, Efe; Tofighi, Mohammad; Saritas, Emine U.; Çetin, A. Enis; Çukur, Tolga (IEEE, 2018-12-07)
      The compressed sensing (CS) framework leverages the sparsity of MR images to reconstruct from undersampled acquisitions. CS reconstructions involve one or more regularization parameters that weigh sparsity in transform ...