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Published in 2019 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2498
Abstract: We propose a Bayesian framework to model bid placement time in retail secondary market online business‐to‐business auctions. In doing so, we propose a Bayesian beta regression model to predict the first bidder and time to…
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Keywords:
first bid;
retail secondary;
market online;
bayesian approach ... See more keywords
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Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9696
Abstract: There has been increased interest in the design and analysis of studies consisting of multiple response variables of mixed types. For example, in clinical trials, it is desirable to establish efficacy for a treatment effect…
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Keywords:
mixed types;
variables mixed;
bayesian approach;
response ... See more keywords
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Published in 2020 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2019.107203
Abstract: Abstract A Bayesian approach was studied to improve the belief for input parameters for the probabilistic safety assessment of high-level waste (HLW) repository. A GoldSim-based module has been developed by which sequential Bayesian updating of…
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Keywords:
safety assessment;
hlw repository;
probabilistic safety;
bayesian approach ... See more keywords
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Published in 2018 at "Engineering Structures"
DOI: 10.1016/j.engstruct.2018.06.040
Abstract: Abstract In this work, an inverse analysis procedure adopting a Bayesian approach is proposed as a numerical tool to investigate the causes that have led a masonry arch bridge to be in a certain pathological…
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Keywords:
damaged condition;
condition;
bayesian approach;
condition investigation ... See more keywords
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Published in 2020 at "Livestock Science"
DOI: 10.1016/j.livsci.2020.104115
Abstract: Abstract Growth models are used to understand the relationships in production during the life of an animal, being an abstraction of their natural dynamics. In this context, the objective of this research was to fit…
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Keywords:
bayesian approach;
santa ines;
sheep using;
ines sheep ... See more keywords
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Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2019.12.137
Abstract: Feasibility of wind-farm projects emphasizes the need for a timely evaluation of the site-specific wind potential (i.e., the electrical power production from wind sources) because, unfortunately, it is usually hampered by the need for long-term…
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Keywords:
wind;
site specific;
specific wind;
wind rose ... See more keywords
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Published in 2018 at "Political Analysis"
DOI: 10.1017/pan.2018.49
Abstract: We offer a dynamic Bayesian forecasting model for multiparty elections. It combines data from published pre-election public opinion polls with information from fundamentals-based forecasting models. The model takes care of the multiparty nature of the…
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Keywords:
multiparty systems;
bayesian approach;
forecasting elections;
model ... See more keywords
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Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b05006
Abstract: Quality by design in pharmaceutical manufacturing hinges on computational methods and tools that are capable of accurate quantitative prediction of the design space. This paper investigates Bayesia...
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Keywords:
probabilistic design;
bayesian approach;
design space;
approach probabilistic ... See more keywords
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1
Published in 2018 at "Psychological Methods"
DOI: 10.1037/met0000155
Abstract: Abstract The STARTS (Stable Trait, AutoRegressive Trait, and State) model decomposes individual differences in psychological measurement across time into 3 sources of variation: a time-invariant stable component, a time-varying autoregressive component, and an occasion-specific state…
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Keywords:
starts model;
estimation;
bayesian approach;
markov chain ... See more keywords
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Published in 2018 at "Exploration Geophysics"
DOI: 10.1071/eg18011
Abstract: We propose an empirical Bayesian approach to inferring shallow (depth ranges from a few to several tens of metres) S-wave velocity structures using microtremor arrays and execute numerical tests to assess the feasibility of this…
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Keywords:
velocity;
bayesian approach;
approach inferring;
model ... See more keywords
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Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1594305
Abstract: Abstract The generalized extreme value (GEV) distribution is known as the limiting result for the modeling of maxima blocks of size n, which is used in the modeling of extreme events. However, it is possible…
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Keywords:
zero inflated;
approach zero;
distribution;
bayesian approach ... See more keywords