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Partial Coherence Estimation via Spectral Matrix Shrinkage under Quadratic Loss [PDF]
, 2015 Partial coherence is an important quantity derived from spectral or precision matrices and is used in seismology, meteorology, oceanography, neuroscience and elsewhere.
Schneider-Luftman, D., Walden, A. T.
core +2 more sources
The Risk of Using Risk Matrices
SPE Economics & Management, 2013 SummaryThe risk matrix (RM) is a widely espoused approach to assess and analyze risks in the oil and gas (O&G) industry. RMs have been implemented throughout that industry and are used extensively in risk-management contexts. This is evidenced by numerous SPE papers documenting RMs as the primary risk-management tool.
Philip Thomas +2 more
openaire +3 more sources
Harmonizing and comparing single-type natural hazard risk estimations
Annals of Geophysics, 2016 Single-type hazard and risk assessment is the usual framework followed by disaster risk reduction (DRR) practitioners. There is therefore a need to present and compare the results arising from different hazard and risk types.
Kevin Fleming +6 more
doaj +1 more source
PLoS Computational Biology, 2021 Mathematical models have played a key role in understanding the spread of directly-transmissible infectious diseases such as Coronavirus Disease 2019 (COVID-19), as well as the effectiveness of public health responses. As the risk of contracting directly-
Kiesha Prem +7 more
doaj +1 more source
Semiquantitative Risk Analysis.An EPSC Working Group
Chemical Engineering Transactions, 2019 Semiquantitative Risk Analysis (SQRA) tools like e.g. LOPA were developed for the assessment of scenarios which have previously been identified with Process Hazard Analysis (PHA) tools like e.g. HAZOP.
Hans Schwarz +2 more
doaj +1 more source
Risk-Based Portfolios with Large Dynamic Covariance Matrices [PDF]
International Journal of Financial Studies, 2018 In the field of portfolio management, practitioners are focusing increasingly on risk-based portfolios rather than on mean-variance portfolios. Risk-based portfolios are constructed based solely on covariance matrices, and include methods such as minimum variance (MV), risk parity (RP), and maximum diversification (MD).
Nakagawa, Kei +2 more
openaire +2 more sources
Ability of different matrices to transmit African swine fever virus
EFSA Journal, 2021 This opinion assesses the risk posed by different matrices to introduce African swine fever virus (ASFV) to non‐affected regions of the EU. Matrices assessed are feed materials, enrichment/bedding materials and empty live pigs transport vehicles ...
EFSA Panel on Animal Health and Welfare (AHAW) +25 more
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Food and Waterborne Parasitology, 2022 Ascarid infections constitute a major concern for both human and animal health risk assessment. Although being effectively transmitted by soil, water and contaminated food, reliable detection of ascarid eggs in environmental media often remains ...
Patrick Waindok +2 more
doaj +1 more source
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019 Background We hypothesized that measures of common carotid artery echolucency and grayscale texture features were associated with cardiovascular disease (CVD) risk factors and could predict CVD events.
Carol C. Mitchell +9 more
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MathematicsAccurately forecasting the risk matrix and constructing a well-controlled portfolio based on these forecasts is the core objective of effective asset allocation. This paper takes the Chinese stock market as the research object, employing multiple machine
Jinda Du, Wenyi Cao, Ziyou Wang
doaj +1 more source