Remodeling the light-adapted electroretinogram using a bayesian statistical approach by Marek Brabec, Fernando Marmolejo-Ramos, Lynne Loh, Irene O. Lee, Mikhail Kulyabin, Aleksei Zhdanov, Hugo Posada-Quintero, Dorothy A. Thompson, Paul A. Constable

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Infectious disease phylodynamics with occurrence data by Leo A. Featherstone, Francesca Di Giallonardo, Edward C. Holmes, Timothy G. Vaughan, Sebastián Duchêne

Subjects: “…Bayesian statistics…”
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Uncertainty analysis of varying inertia estimation based on Bayesian method by Dongdong Li, Wei Hua, Yang Mi

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Estimation of true dates of various flowering stages at a centennial scale by applying a Bayesian statistical state space model by Nagai Shin, Hakuryu Fujiwara, Shinjiro Sugiyama, Hiroshi Morimoto, Taku M. Saitoh

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Estimation of true dates of various flowering stages at a centennial scale by applying a Bayesian statistical state space model. by Nagai Shin, Hakuryu Fujiwara, Shinjiro Sugiyama, Hiroshi Morimoto, Taku M Saitoh

“…These results indicated that our proposed Bayesian statistical state space model can estimate cherry flowering phenology that takes into account centennial-scale air temperature data recorded at a nearby weather station with a coarse temporal resolution.…”
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Photometric Determination of Unresolved Main-sequence Binaries in the Pleiades: Binary Fraction and Mass-ratio Distribution by Rongrong Liu, Zhengyi Shao, Lu Li

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This is EPIC: Extensive Periphery for Impact and Control to study seabird habitat loss in and around offshore wind farms combining a peripheral control area and Bayesian statistics by Anne Grundlehner, Mardik F. Leopold, Anna Kersten

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Breed differences in olfactory performance of dogs by Attila Salamon, Ádám Miklósi, László Róbert Zsiros, Tímea Kovács, Enikő Kubinyi, Attila Andics, Márta Gácsi

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The Heating Efficiency of Hot Jupiters from a Data-driven Perspective by Sheng Jin, Dong-Hong Wu, Yi-Xuan Cao, Zi-Yi Guo

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Multilevel Analysis of Ground Beetle Responses to Forest Management: Integrating Species Composition, Morphological Traits and Developmental Instability by Dominik Stočes, Jan Šipoš

Subjects: “…Bayesian statistics…”
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Effects of biochar on the chemical properties of soils and the volume of wood in a plantation of Acacia mangium Willd in the Colombian Orinoquía (highlands) by Giovanni Reyes-Moreno, Aquiles Enrique Darghan, Carlos Rivera-Moreno

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Statistical flaws of the fitness-fatigue sports performance prediction model by Alexandre Marchal, Othmène Benazieb, Yisakor Weldegebriel, Thibaut Méline, Frank Imbach

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Unit-Chen distribution and its quantile regression model with applications by Ammar M. Sarhan

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A Population Analysis of 20 Exoplanets Observed from Optical to Near-infrared Wavelengths with the Hubble Space Telescope: Evidence for Widespread Stellar Contamination by Arianna Saba, Alexandra Thompson, Kai Hou Yip, Sushuang Ma, Angelos Tsiaras, Ahmed Faris Al-Refaie, Giovanna Tinetti

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Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems by Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur

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Cancer phylogenetic tree inference at scale from 1000s of single cell genomes by Salehi, Sohrab, Dorri, Fatemeh, Chern, Kevin, Kabeer, Farhia, Rusk, Nicole, Funnell, Tyler, Williams, Marc J., Lai, Daniel, Andronescu, Mirela, Campbell, Kieran R., McPherson, Andrew, Aparicio, Samuel, Roth, Andrew, Shah, Sohrab P., Bouchard-Côté, Alexandre

Subjects: “…Phylogenetics, Cancer evolution, Bayesian statistics, MCMC, Copy number evolution, PDX, Triple negative breast cancer…”
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3D Localization of FRB 20190425A for Its Potential Host Galaxy and Implications by Da-Chun Qiang, Zhi-Qiang You, Sheng Yang, Zong-Hong Zhu, Ting-Wan Chen

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La datation des aqueducs de Lyon : nouvelles données et contribution de l’analyse statistique bayésienne by Christine Oberlin, Jean-Claude Lefèvre

“…In recent years, preventive archaeology has provided substantial new data on the Yzeron, Brévenne and Gier aqueducts, with the result that it has been possible to narrow down their construction dates using ChronoModel chronological modelling software, based on Bayesian statistics. By applying Bayesian statistics to series of dates obtained by one or more chronometric methods, such as radiocarbon, archaeomagnetism, etc., we can construct chronological schemas that combine archaeometric dating with temporal knowledge such as historical dates or stratigraphic correspondences observed at the archaeological site.This also makes it possible to combine dates established by different methods to arrive at a more precise estimate of the date of a single event, such as the construction of a building. …”
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The Bayesian Contrast of Clinical Events and the Evidence Quantitative Method in Chronic Disease Research by Cristian Antony Ramos Vera

“…Bayesian statistics make it possible to contrast statistical hypotheses of significance through probabilities, a priori and posteriori, given the data, whose usefulness is ideal in clinical research. …”
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Comparison of the Frequentist MATA Confidence Interval with Bayesian Model-Averaged Confidence Intervals by Daniel Turek

“…Data-dependent model prior probabilities are philosophically controversial in Bayesian statistics, and our results suggest that their use is beneficial when model averaging.…”
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