Results 161 to 170 of about 34,016,939 (394)
Operational risk modeled analytically II: the consequences of classification invariance [PDF]
arXiv, 2015 Most of the banks' operational risk internal models are based on loss pooling in risk and business line categories. The parameters and outputs of operational risk models are sensitive to the pooling of the data and the choice of the risk classification.
arxiv
Practical recommendations for reporting Fine‐Gray model analyses for competing risk data
Statistics in Medicine, 2017 In survival analysis, a competing risk is an event whose occurrence precludes the occurrence of the primary event of interest. Outcomes in medical research are frequently subject to competing risks.
P. Austin, J. Fine
semanticscholar +1 more source
WHOLE FARM RISK-RATING MICROCOMPUTER MODEL [PDF]
The Risk-Rating Model is designed to give extension specialists, teachers, and producers a method to analyze production, marketing, and financial risks. These risks may be analyzed either individually or simultaneously.
Anderson, Kim B., Ikerd, John E.
core +1 more source
Crosstalk between gut microbiota and tumor: tumors could cause gut dysbiosis and metabolic imbalance
Molecular Oncology, EarlyView.In this research, we analyzed the relationship between gut microbiota and tumor. We discovered that both subcutaneous and metastatic tumors would alter the composition and metabolic function of gut microbiota. Meanwhile, fecal microbiota transplantation also indicated the anti‐tumor role of the gut microbiota, revealing the crosstalk between tumor and ...
Siyuan Zhang +8 more
wiley +1 more source
Commentary: The risk of risk models [PDF]
The Journal of Thoracic and Cardiovascular Surgery, 2020 openaire +3 more sources
Molecular Oncology, EarlyView.Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad +13 more
wiley +1 more source
Risk Measures and Credit Risk Under the Beta-Kotz Distribution [PDF]
arXiv, 2018 This paper considers the use for Value-at-Risk computations of the so-called Beta-Kotz distribution based on a general family of distributions including the classical Gaussian model. Actually, this work develops a new method for estimating the Value-at-Risk, the Conditional Value-at-Risk and the Economic Capital when the underlying risk factors follow ...
arxiv
Response : Models for Carcinogenic Risk Assessment [PDF]
, 1978 Jerome Cornfield
openalex +1 more source
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Practical Risk Measures in Reinforcement Learning [PDF]
arXiv, 2019 Practical application of Reinforcement Learning (RL) often involves risk considerations. We study a generalized approximation scheme for risk measures, based on Monte-Carlo simulations, where the risk measures need not necessarily be \emph{coherent}. We demonstrate that, even in simple problems, measures such as the variance of the reward-to-go do not ...
arxiv