Results 41 to 50 of about 2,394,910 (364)

Should income be taken for granted as a sole driver of welfare? Bayesian insight on the relevance of non-income drivers of welfare

International Journal of Management and Economics, 2018
: The paper consists of a discussion on the relevance of non-income drivers of welfare. This discussion is based on a subjective Bayesian reasoning, where welfare perceptions are subjectively rational decisions of individuals, who are, as author suggests,
Wiśniewski Tomasz P.
doaj   +1 more source

Bayesian Update with Information Quality under the Framework of Evidence Theory

Entropy, 2018
Bayesian update is widely used in data fusion. However, the information quality is not taken into consideration in classical Bayesian update method. In this paper, a new Bayesian update with information quality under the framework of evidence theory is ...
Yuting Li, Fuyuan Xiao
doaj   +1 more source

The Effects of Working Memory and Probability Format on Bayesian Reasoning

Frontiers in Psychology, 2020
Bayesian reasoning is common and critical in everyday life while the performance on Bayesian reasoning is rather poor. Previous studies showed that people could enhance their performance by applying cognitive resources under the natural frequency format ...
Lin Yin, Zifu Shi, Zixiang Liao, Ting Tang, Yuntian Xie, Shun Peng   +5 more
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A Bayesian probability model for Android malware detection

ICT Express, 2022
The unprecedented growth of mobile technology has generated an increase in malware and raised concerns over malware threats. Different approaches have been adopted to overcome the malware attacks yet this spread is still increasing. To combat this issue,
Sharfah Ratibah Tuan Mat, Mohd Faizal Ab Razak, Mohd Nizam Mohmad Kahar, Juliza Mohamad Arif, Ahmad Firdaus   +4 more
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Market Structure and Competition in the Indian Microfinance Sector

Vikalpa, 2019
Executive Summary The Indian microfinance sector has experienced fundamental changes in the structure of ownership and management of microfinance institutions (MFIs).
Nitin Navin, Pankaj Sinha
doaj   +1 more source

Evaluation of a Bayesian inference network for ligand-based virtual screening [PDF]

, 2009
Background Bayesian inference networks enable the computation of the probability that an event will occur. They have been used previously to rank textual documents in order of decreasing relevance to a user-defined query. Here, we modify the approach to
A Abdo, A Bender, AG Maldonado, AN Jain, AR Leach, AR Leach, Beining Chen, Christoph Mueller, CX Zhai, D Metzler, EJ Gardiner, EM Voorhees, G Salton, GW Bemis, H Eckert, H Turtle, J Bajorath, J Hert, J Hert, J-F Truchon, JA Grant, JD Holliday, JP Callan, JP Callan, JR Fischer, K Spärck Jones, K Spärck Jones, N Nikolova, P Prathipati, P Willett, P Willett, P Willett, P Willett, P Willett, Peter Willett, RC Glen, RD Brown, RP Sheridan, RP Sheridan, S Siegel, SJ Edgar, T Lengauer, T Strohman, TI Oprea, WR Greiff, X Chen   +45 more
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Fault diagnosis of mine drainage system based on fuzzy Bayesian network

Gong-kuang zidonghua, 2022
The mine drainage system is developing towards automation and intelligence. The system's structure and function are becoming more and more complex, and the abnormal function and failure of a single component may cause the failure of the whole system. The
SHI Xiaojuan, YAO Bing, GU Huabei
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Rainfall Threshold Analysis and Bayesian Probability Method for Landslide Initiation Based on Landslides and Rainfall Events in the Past

, 2018
In this paper a rainfall threshold and a Bayesian probability model are presented for the landslide occurrence of shallow landslides in Ha Giang city and the surroundings, Vietnam.
Hien Minh Do, K. Yin
semanticscholar   +1 more source

Randomization-based, Bayesian inference of causal effects

Journal of Causal Inference, 2023
Bayesian causal inference in randomized experiments usually imposes model-based structure on potential outcomes. Yet causal inferences from randomized experiments are especially credible because they depend on a known assignment process, not a ...
Leavitt Thomas
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Model‐informed precision dosing of teicoplanin for the rapid achievement of the target area under the concentration‐time curve: A simulation study

Clinical and Translational Science, 2023
Teicoplanin, a glycopeptide antimicrobial, is recommended for therapeutic drug monitoring, but it remains unclear how to target the area under the concentration‐time curve (AUC). This simulation study purposed to demonstrate the potential of the Bayesian
Kazutaka Oda, Tomoyuki Yamada, Kazuaki Matsumoto, Yuki Hanai, Takashi Ueda, Masaru Samura, Akari Shigemi, Hirofumi Jono, Hideyuki Saito, Toshimi Kimura   +9 more
doaj   +1 more source