scholarly journals Bayesian factor models for probabilistic cause of death assessment with verbal autopsies

2020 ◽  
Vol 14 (1) ◽  
pp. 241-256
Author(s):  
Tsuyoshi Kunihama ◽  
Zehang Richard Li ◽  
Samuel J. Clark ◽  
Tyler H. McCormick
2013 ◽  
Vol 40 (7) ◽  
pp. 1402-1424
Author(s):  
Saheli Datta ◽  
Raquel Prado ◽  
Abel Rodríguez

2020 ◽  
Vol 10 (1) ◽  
pp. 58
Author(s):  
Mihnea S. Andrei ◽  
John S. J. Hsu

The Black-Litterman model combines investor’s personal views with historical data and gives optimal portfolio weights. In (Andrei & Hsu, 2020), they reviewed the original Black-Litterman model and modified it in order to fit it into a Bayesian framework, when a certain number of assets is considered. They used the idea by (Leonard & Hsu, 1992) for a multivariate normal prior on the logarithm of the covariance matrix. When implemented and applied to a large number of assets such as all the S&P500 companies, they ran into memory allocation and running time issues. In this paper, we reduce the dimensions by considering Bayesian factor models, which solve the asset allocation problems for a large number of assets. In addition, we will conduct sensitivity analysis for the confidence levels that the investors have to input.


2014 ◽  
Vol 42 (3) ◽  
pp. 1102-1130 ◽  
Author(s):  
Debdeep Pati ◽  
Anirban Bhattacharya ◽  
Natesh S. Pillai ◽  
David Dunson

Crisis ◽  
2020 ◽  
pp. 1-8
Author(s):  
Chao S. Hu ◽  
Jiajia Ji ◽  
Jinhao Huang ◽  
Zhe Feng ◽  
Dong Xie ◽  
...  

Abstract. Background: High school and university teachers need to advise students against attempting suicide, the second leading cause of death among 15–29-year-olds. Aims: To investigate the role of reasoning and emotion in advising against suicide. Method: We conducted a study with 130 students at a university that specializes in teachers' education. Participants sat in front of a camera, videotaping their advising against suicide. Three raters scored their transcribed advice on "wise reasoning" (i.e., expert forms of reasoning: considering a variety of conditions, awareness of the limitation of one's knowledge, taking others' perspectives). Four registered psychologists experienced in suicide prevention techniques rated the transcripts on the potential for suicide prevention. Finally, using the software Facereader 7.1, we analyzed participants' micro-facial expressions during advice-giving. Results: Wiser reasoning and less disgust predicted higher potential for suicide prevention. Moreover, higher potential for suicide prevention was associated with more surprise. Limitations: The actual efficacy of suicide prevention was not assessed. Conclusion: Wise reasoning and counter-stereotypic ideas that trigger surprise probably contribute to the potential for suicide prevention. This advising paradigm may help train teachers in advising students against suicide, measuring wise reasoning, and monitoring a harmful emotional reaction, that is, disgust.


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