Bayesian hierarchical modelling for battery lifetime early prediction by Zhou, Z, Howey, DA

Bayesian hierarchical models and prior elicitation for fitting psychometric functions by Maura Mezzetti, Colleen P. Ryan, Colleen P. Ryan, Priscilla Balestrucci, Francesco Lacquaniti, Francesco Lacquaniti, Alessandro Moscatelli, Alessandro Moscatelli

“…We implemented these models using the software Just Another Gibbs Sampler (JAGS) that we interfaced with R with the package rjags. The Bayesian hierarchical model will provide a promising and powerful method for the analysis of psychometric functions in psychophysical experiments.…”
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Bayesian hierarchical models for misaligned data: a simulation study by Giulia Roli, Meri Raggi

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Evidence aggregation in development economics via Bayesian hierarchical models by Meager, Rachael

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BOPA : a bayesian hierarchical model for outlier expression detection by Hong, Zhaoping

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BOPA : a Bayesian hierarchical model for outlier expression detection by Hong, Zhaoping, Lian, Heng

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Bayesian hierarchical modeling of the individual hypoglycaemic symptoms’ reporting consistency by Zulkafli, Hani Syahida, Streftaris, George, Gibson, Gavin

“…In this paper, we describe a Bayesian hierarchical model which is able to quantify the consistency of reporting symptoms by individual patient and simultaneously investigate patient-specific covariates affecting the consistency. …”
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Bayesian Hierarchical Models for Protein Networks in Single-Cell Mass Cytometry by Riten Mitra, Peter Müller, Peng Qiu, Yuan Ji

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Subnational Mortality Modelling: A Bayesian Hierarchical Model with Common Factors by Qian Lu, Katja Hanewald, Xiaojun Wang

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Bayesian hierarchical modelling of sea-level extremes in the Finnish coastal region by O. Räty, M. Laine, U. Leijala, J. Särkkä, M. M. Johansson

“…</p> <p>In this study, we use Bayesian hierarchical modelling to estimate return levels of annual maxima of short-term sea-level variations related to storm surges in the Finnish coastal region. …”
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Determining factors associated with cholera disease in Ethiopia using Bayesian hierarchical modeling by Tsigereda Tilahun Letta, Denekew Bitew Belay, Endale Alemayehu Ali

“…This study aimed at identifying risk factors associated with cholera disease in Ethiopia using the Bayesian hierarchical model. Methods The study was conducted in Ethiopia across regions and this study used secondary data obtained from the Ethiopian public health institute. …”
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Individual differences in social information gathering revealed through Bayesian hierarchical models by John ePearson, John ePearson, John ePearson, Karli K Watson, Karli K Watson, Karli K Watson, Jeffrey T Klein, R Becket Ebitz, R Becket Ebitz, R Becket Ebitz, Michael L Platt, Michael L Platt, Michael L Platt, Michael L Platt

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Bayesian Hierarchical Modelling for Uncertainty Quantification in Operational Thermal Resistance of LED Systems by Michaela Dvorzak, Julien Magnien, Ulrike Kleb, Elke Kraker, Manfred Mücke

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Predicting Verbal Learning and Memory Assessments of Older Adults Using Bayesian Hierarchical Models by Endris Assen Ebrahim, Endris Assen Ebrahim, Mehmet Ali Cengiz

“…Verbal learning and memory summaries of older adults have usually been used to describe neuropsychiatric complaints. Bayesian hierarchical models are modern and appropriate approaches for predicting repeated measures data where information exchangeability is considered and a violation of the independence assumption in classical statistics. …”
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Use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio by Fidel Ernesto Castro Morales, Anna Cecília Queiroz de Medeiros

“…Abstract Objectives: to propose the use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio, including possible confounders. …”
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Integrating Climatic and Physical Information in a Bayesian Hierarchical Model of Extreme Daily Precipitation by Charlotte A. Love, Brian E. Skahill, John F. England, Gregory Karlovits, Angela Duren, Amir AghaKouchak

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Reflected generalized concentration addition and Bayesian hierarchical models to improve chemical mixture prediction. by Daniel Zilber, Kyle Messier

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Income, education, and other poverty-related variables: A journey through Bayesian hierarchical models by Irving Gómez-Méndez, Chainarong Amornbunchornvej

“…In this work, we propose to use Bayesian hierarchical models which can potentially explain the data regarding income and other poverty-related variables in the multi-resolution governing structural data of Thailand. …”
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Two-Component Bayesian Hierarchical Models for Cost-Benefit Analysis of Traffic Barrier Crash Count by Mahdi Rezapour, Khaled Ksaibati

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Using Bayesian hierarchical modeling for performance evaluation of clinical trial accrual for a cancer center by Xiaosong Shi, Dinesh Pal Mudaranthakam, Jo A. Wick, David Streeter, Jeffrey A. Thompson, Natalie R. Streeter, Tara L. Lin, Joseph Hines, II, Matthew S. Mayo, Byron J. Gajewski

“…In this study, we proposed a Bayesian hierarchical model to evaluate annual cancer clinical trial accrual performance. …”
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