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Predicting the Leadership Mindset of Wildland Firefighters
Gapud, Stephanie; Hair, Joseph F. - 2021
Leadership behaviors of wildland firefighting teams engaged in firefighting activities are “shared” despite the existence of a highly bureaucratic and hierarchical organizational structure. This paradoxical type of leadership appears to be based on individual perceptions of the effectiveness...
Persistent link: https://www.econbiz.de/10013226275
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Using asymmetric loss functions in time series econometrics
Titova, Anna - 2019
Persistent link: https://www.econbiz.de/10012021670
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Modeling and forecasting asset volatility
Bekierman, Jeremias - 2017
Persistent link: https://www.econbiz.de/10011861477
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Essays in behavioral finance
Iliewa, Zwetelina - 2016
Persistent link: https://www.econbiz.de/10011526520
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Algorithms, Human Decision-Making and Predictive Policing
Phillips, Peter J.; Pohl, Gabriela - 2021
algorithms and, importantly, the basic structures of decision theory that it embeds. To make a problem amenable to algorithmic … application. We use decision theory, including behavioural economics, to highlight the choices embedded within this problem space … lockstep advancement in awareness and application of decision theory. Such awareness may help to mitigate some of the …
Persistent link: https://www.econbiz.de/10013322251
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Likelihood Based Inference and Prediction in Spatio-Temporal Panel Count Models for Urban Crimes
Liesenfeld, Roman; Richard, Jean-Francois; Vogler, Jan - 2015
We develop a panel data count model combined with a latent Gaussian spatio-temporal heterogenous state process to analyze monthly severe crimes at the census tract level in Pittsburgh, Pennsylvania. Our data set combines Uniform Crime Reporting data with socio-economic data from the 2000 census....
Persistent link: https://www.econbiz.de/10014135197
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Predictive Policing : An Information Design Approach
Ichihashi, Shota - 2022
Citizens may engage in crime, depending on the probability of being searched and their types such as legal earning opportunities. Police observes information about citizens' types and allocates search efforts to catch citizens who commit crimes. I show that the police who has full information...
Persistent link: https://www.econbiz.de/10014076370
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A New Perspective of Performance Comparison among Machine Learning Algorithms for Financial Distress Prediction
Huang, Yu-Pei - 2019
We set out in this study to review a vast amount of recent literature on machine learning (ML) approaches to predicting financial distress (FD), including supervised, unsupervised and hybrid supervised-unsupervised learning algorithms. Four supervised ML models including the traditional support...
Persistent link: https://www.econbiz.de/10012864586
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Short-term forecasting of crime
Gorr, Wilpen L.; Olligschlaeger, Andreas M.; Thompson, … - In: International journal of forecasting 19 (2003) 4, pp. 579-594
Persistent link: https://www.econbiz.de/10001818757
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Forecasting Methods in Crime and Justice
Berk, Richard - 2008
Researchers who study crime and justice have been forecasting a variety of outcomes for nearly a century. Perhaps the most well known are forecasts of behavior after release from prison. Other examples include forecasts of prison populations and time trends in crime. However, it is very...
Persistent link: https://www.econbiz.de/10012768142