Paper Citation Record · LEDGER

Bayesian kernel machine regression for heteroscedastic health outcome data

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.23644.

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pith.paper-citation-record.v1
2505.23644 v1

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Pith citing papers itemized under the disclosed page cap.

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37 of 37 outbound references displayed

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Outbound references

Observation 4fa21659-2ab9-487b-8360-083099f95608 · outbound

This paper cites Power- ing research through innovative methods for mixtures in epidemiology (PRIME) program: novel and expanded statistical methods.

Bayesian kernel machine regression for heteroscedastic health outcome data Power- ing research through innovative methods for mixtures in epidemiology (PRIME) program: novel and expanded statistical methods

Reference 1

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This paper cites Bayesian ker- nel machine regression for estimating the health effects of multi-pollutant mixtures.

Bayesian kernel machine regression for heteroscedastic health outcome data Bayesian ker- nel machine regression for estimating the health effects of multi-pollutant mixtures

Reference 2

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This paper cites Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression.

Bayesian kernel machine regression for heteroscedastic health outcome data Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression

Reference 3

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This paper cites Bayesian kernel machine regression for count data: modelling the association between social vulnerability and COVID-19 deaths in South Carolina.

Bayesian kernel machine regression for heteroscedastic health outcome data Bayesian kernel machine regression for count data: modelling the association between social vulnerability and COVID-19 deaths in South Carolina

Reference 4

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Observation d9bd5e2d-5446-4a9c-8f57-b0ad0fb68d6b · outbound

This paper cites Generalized Bayesian kernel machine regression.

Bayesian kernel machine regression for heteroscedastic health outcome data Generalized Bayesian kernel machine regression

Reference 5

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Observation fc698a5e-0f03-4b0e-b9f5-21ca1a377200 · outbound

This paper cites Bayesian varying coefficient kernel machine regression to assess neurodevelopmental trajectories associated with exposure to complex mixtures.

Bayesian kernel machine regression for heteroscedastic health outcome data Bayesian varying coefficient kernel machine regression to assess neurodevelopmental trajectories associated with exposure to complex mixtures

Reference 6

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Observation ee967215-540c-4fc4-aa4a-9493b3037bd3 · outbound

This paper cites Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children’s health studies.

Bayesian kernel machine regression for heteroscedastic health outcome data Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children’s health studies

Reference 7

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This paper cites Bayesian kernel machine regression-causal mediation analysis.

Bayesian kernel machine regression for heteroscedastic health outcome data Bayesian kernel machine regression-causal mediation analysis

Reference 8

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This paper cites Managing heteroscedasticity in general linear models.

Bayesian kernel machine regression for heteroscedastic health outcome data Managing heteroscedasticity in general linear models

Reference 9

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This paper cites Bayesian regression with heteroscedastic error density and parametric mean function.

Bayesian kernel machine regression for heteroscedastic health outcome data Bayesian regression with heteroscedastic error density and parametric mean function

Reference 10

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Observation c45cc1d5-ba51-4365-ba30-2ef3dd51c7bc · outbound

This paper cites NIMBLE: MCMC, Particle Filtering, and Programmable Hierarchical Modeling; 2024.

Bayesian kernel machine regression for heteroscedastic health outcome data NIMBLE: MCMC, Particle Filtering, and Programmable Hierarchical Modeling; 2024

Reference 11

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This paper cites Bayesian diagnostic checking of the capital asset pricing model.

Bayesian kernel machine regression for heteroscedastic health outcome data Bayesian diagnostic checking of the capital asset pricing model

Reference 12

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This paper cites A general Bayesian model for heteroskedastic data with fully conjugate full-conditional distributions.

Bayesian kernel machine regression for heteroscedastic health outcome data A general Bayesian model for heteroskedastic data with fully conjugate full-conditional distributions

Reference 13

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This paper cites Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper).

Bayesian kernel machine regression for heteroscedastic health outcome data Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)

Reference 14

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Observation 6aa8067c-488c-4cd0-acfc-ae9c8547d80a · outbound

This paper cites Asymptotic equivalence of Bayes cross validation and widely applicable information cri- terion in singular learning theory.

Bayesian kernel machine regression for heteroscedastic health outcome data Asymptotic equivalence of Bayes cross validation and widely applicable information cri- terion in singular learning theory

Reference 15

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Bayesian kernel machine regression for heteroscedastic health outcome data Unresolved cited work

Reference 16

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Observation 58dacabf-e8aa-4ea7-af89-6137cfdda350 · outbound

This paper cites Exposure to total and methylmercury among pregnant women in Suriname: sources and public health implications.

Bayesian kernel machine regression for heteroscedastic health outcome data Exposure to total and methylmercury among pregnant women in Suriname: sources and public health implications

Reference 17

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Bayesian kernel machine regression for heteroscedastic health outcome data Geographic differences in exposures to metals and essential elements in pregnant women living in Suriname

Reference 18

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This paper cites Manual for the ASEBA preschool forms and profiles.

Bayesian kernel machine regression for heteroscedastic health outcome data Manual for the ASEBA preschool forms and profiles

Reference 19

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This paper cites Screening efficiency of the child behavior checklist and strengths and difficulties questionnaire: a systematic review.

Bayesian kernel machine regression for heteroscedastic health outcome data Screening efficiency of the child behavior checklist and strengths and difficulties questionnaire: a systematic review

Reference 20

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This paper cites Prenatal methylmercury, postnatal lead exposure, and evidence of attention deficit/hyperactivity disorder among Inuit children in Arctic Quebec.

Bayesian kernel machine regression for heteroscedastic health outcome data Prenatal methylmercury, postnatal lead exposure, and evidence of attention deficit/hyperactivity disorder among Inuit children in Arctic Quebec

Reference 21

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Bayesian kernel machine regression for heteroscedastic health outcome data Unresolved cited work

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This paper cites Association of arsenic, cadmium and manganese exposure with neurodevelopment and behavioural dis- orders in children: a systematic review and meta-analysis.

Bayesian kernel machine regression for heteroscedastic health outcome data Association of arsenic, cadmium and manganese exposure with neurodevelopment and behavioural dis- orders in children: a systematic review and meta-analysis

Reference 23

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This paper cites Environmental justice: Examining the Environmental Pro- tection Agency’s compliance and enforcement of Title VI and Executive Order 12898; 2016.

Bayesian kernel machine regression for heteroscedastic health outcome data Environmental justice: Examining the Environmental Pro- tection Agency’s compliance and enforcement of Title VI and Executive Order 12898; 2016

Reference 24

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This paper cites Communities of color, poverty bear burden of air pol- lution; 2011.

Bayesian kernel machine regression for heteroscedastic health outcome data Communities of color, poverty bear burden of air pol- lution; 2011

Reference 25

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Bayesian kernel machine regression for heteroscedastic health outcome data PIXE analysis of individual particles in coal fly ash

Reference 26

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Bayesian kernel machine regression for heteroscedastic health outcome data Characterization of metals released from coal fly ash during dredging at the Kingston ash recovery project

Reference 27

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Bayesian kernel machine regression for heteroscedastic health outcome data A review on fly ash from coal-fired power plants: chemical composition, regula- tions, and health evidence

Reference 28

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Bayesian kernel machine regression for heteroscedastic health outcome data Federal Register

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Bayesian kernel machine regression for heteroscedastic health outcome data Exposure to coal ash and depression in children aged 6–14 years old

Reference 30

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Bayesian kernel machine regression for heteroscedastic health outcome data Manganese exposure and neurotoxic effects in children

Reference 31

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Bayesian kernel machine regression for heteroscedastic health outcome data Manganese body burden in children is associated with reduced visual motor and attention skills

Reference 32

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Bayesian kernel machine regression for heteroscedastic health outcome data Manganese and developmental neurotoxicity

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This paper cites The association of manganese overexposure and neurobehavioral function is moderated by arsenic: a metal mixture analysis of children living near coal ash storage sites.

Bayesian kernel machine regression for heteroscedastic health outcome data The association of manganese overexposure and neurobehavioral function is moderated by arsenic: a metal mixture analysis of children living near coal ash storage sites

Reference 34

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Bayesian kernel machine regression for heteroscedastic health outcome data Protocol for measuring indoor exposure to coal fly ash and heavy metals, and neurobehavioural symptoms in children aged 6 to 14 years old

Reference 35

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Bayesian kernel machine regression for heteroscedastic health outcome data Development of the Be- havioral Assessment and Research System (BARS) to detect and characterize neurotoxicity in humans

Reference 36

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Bayesian kernel machine regression for heteroscedastic health outcome data Adaptation of the Behavioral Assessment and Research System (BARS) for evaluating neurobehavioral performance in Filipino children

Reference 37

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