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Special Issue “Machine Learning in Insurance” [PDF]
Learning in Insurance”, which represents a compilation of ten high-quality articles discussing avant-garde developments or introducing new theoretical or practical advances in this ...
Asimit, V., Kyriakou, I., Nielsen, J. P.
core +1 more source
Background Australian harm reduction services are provided via a mix of modalities, including fixed-site needle and syringe programmes (NSP) and syringe-dispensing machines (SDMs).
Daniel O’Keefe+5 more
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Acknowledgement to Reviewers of Risks in 2018
Rigorous peer-review is the corner-stone of high-quality academic publishing. [...]
Risks Editorial Office
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Acknowledgement to Reviewers of Risks in 2014
The editors of Risks would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2014:[...]
Risks Editorial Office
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Monitoring of Expansive Clays over Drought-Rewetting Cycles Using Satellite Remote Sensing
New capabilities for measuring and monitoring are needed to prevent the shrink-swell risk caused by drought-rewetting cycles. A clayey soil in the Loire Valley at Chaingy (France) has been instrumented with two extensometers and several soil moisture ...
André Burnol+4 more
doaj +1 more source
When society makes a decision about some action (to build a dam or approve a new drug, for example), its choice is usually based on a comparison of risks and benefits. If the latter exceed the former, assuming that risks and benefits accrue to the same person or group, the project goes forward ...
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Acknowledgement to Reviewers of Risks in 2016
The editors of Risks would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2016. [...]
Risks Editorial Office
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Aims We report on motivations for crystal methamphetamine-opioid co-use/co-injection through narratives of people who inject drugs during a period of increased crystal methamphetamine use reporting in Australia.
Anna Palmer+3 more
doaj +1 more source
Conditional variance forecasts for long-term stock returns [PDF]
In this paper, we apply machine learning to forecast the conditional variance of long-term stock returns measured in excess of different benchmarks, considering the short- and long-term interest rate, the earnings-by-price ratio, and the inflation rate ...
Chen+14 more
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Risks in estimating risk [PDF]
This editorial refers to ‘SCORE performance in Central and Eastern Europe and former Soviet Union: MONICA and HAPIEE results’[†][1], by O. Vikhireva et al. , on page 571 ‘Prediction is very difficult, especially about the future’(attributed to Niels Bohr) ‘I told you I was ill’(Spike Milligan's epitaph) The paper by Vikhireva and colleagues1 is a ...
M T Cooney, Ian D. Graham
openaire +3 more sources