Results 11 to 20 of about 1,271,540 (296)
Prior Design for Dependent Dirichlet Processes: An Application to Marathon Modeling. [PDF]
PLoS ONE, 2016 This paper presents a novel application of Bayesian nonparametrics (BNP) for marathon data modeling. We make use of two well-known BNP priors, the single-p dependent Dirichlet process and the hierarchical Dirichlet process, in order to address two ...
Melanie F Pradier +2 more
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State-dependent Hawkes processes and their application to limit order book modelling [PDF]
Quantitative Finance, 2021 We study statistical aspects of state-dependent Hawkes processes, which are an extension of Hawkes processes where a self- and cross-exciting counting process and a state process are fully coupled, interacting with each other. The excitation kernel of the counting process depends on the state process that, reciprocally, switches state when there is an ...
Maxime Morariu-Patrichi +1 more
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Econometrics, 2023 In actuarial practice, the modeling of total losses tied to a certain policy is a nontrivial task due to complex distributional features. In the recent literature, the application of the Dirichlet process mixture for insurance loss has been proposed to ...
Minkun Kim +3 more
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Frontiers in Genetics, 2020 BackgroundRNA-dependent RNA polymerase (RdRp) is the key enzyme responsible for the SARS-CoV-2 replication process and catalyzes the synthesis of complementary minus strand RNA and genomic plus strand RNA, often recognized as good targets for antiviral ...
Shuang Ao +8 more
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Frontiers in Manufacturing Technology, 2023 Grinding processes are very complex due to the multitude of influencing parameters, resulting from the stochastic tool topography with numerous geometrically undefined abrasive cutting edges. Thus, the efficient design and optimization of these processes
Petra Wiederkehr +4 more
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Energy Reports, 2020 The analysis and synthesis of reliability of energy systems, particularly district heating systems (DHS), is based on probabilistic modeling of different system states and events connecting these states (usually, these are failures and restoration of ...
Ivan Postnikov, Valery Stennikov
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Fermentation, 2022 Despite the importance of the biodegradability of lignocellulose biomass, few studies have evaluated the lignocellulose biomass digestion kinetics and modeling of the process.
Ibrahim Shaba Mohammed +2 more
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Nuclear Engineering and Technology, 2017 With ever-advancing computer technology, the Monte Carlo (MC) neutron transport calculation is expanding its application area to nuclear reactor transient analysis.
Nadeem Shaukat, Min Ryu, Hyung Jin Shim
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International Journal of Pharmaceutics: X, 2019 This work demonstrates the application of state-of-the-art modeling techniques in pharmaceutical manufacturing for fluid bed granulation at varying scales to successfully predict process conditions and ultimately replace experiments during a technology ...
David R. Ochsenbein +5 more
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Modeling dose-dependent neural processing responses using mixed effects spline models: With application to a PET study of ethanol [PDF]
NeuroImage, 2008 For functional neuroimaging studies that involve experimental stimuli measuring dose levels, e.g. of an anesthetic agent, typical statistical techniques include correlation analysis, analysis of variance or polynomial regression models. These standard approaches have limitations: correlation analysis only provides a crude estimate of the linear ...
Ying, Guo, F DuBois, Bowman
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