Integrate Uncertainty - Model Uncertainty
Bayesian Model Averaging
Model uncertainty in characterizing recreation demand (2010)
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An integrated hydrologic Bayesian multimodel combination framework: Confronting input,
parameter, and model structural uncertainty in hydrologic prediction (2007)
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Complexity in microbial metabolic processes in soil nitrogen modeling: a case for model averaging (2010)
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The practical utility of incorporating model selection uncertainty into prognostic
models for survival data (2005)
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Forecasting the price of gold using dynamic model averaging (2015)
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Probabilistic wind speed forecasting using Bayesian model averaging with truncated
normal components (2013)
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Specification Uncertainty and Model Averaging (1997)
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Predicting Recessions with Leading Indicators: Model Averaging and Selection Over the
Business Cycle
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Bayesian Model Averaging with BMS
for BMS Version 0.3.0 (2011)
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Fiscal Decentralisation and Economic Growth: A Bayesian Model Averaging Approach (2009)
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Stock Return Predictability: A Bayesian Model Selection Perspective (2002)
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Exchange market pressures during the financial crisis: A Bayesian model averaging
evidence (2013)
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Bayesian Model Averaging: A Systematic Review and Conceptual Classification (2015)
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Option pricing under Model and Parameter Uncertainty using Predictive Densities (2000)
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Model uncertainty and health effect studies for particulate matter (2000)
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A Research Agenda for Assessment and Propagation of Model Uncertainty (1987)
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Assessment and Propagation of Model Uncertainty (1995)
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Accounting for Model Uncertainty in the Prediction of University Graduation Rates (2004)
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Accounting for Input Model and Parameter Uncertainty in Simulation
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Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination
(1995)
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Model Uncertainty in "Stochastic" and "Deterministic" Systems (1997)
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Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for
Repairing It (2017)
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Extended-range Probabilistic 500hPa Geopotential Height Forecasting over Northern
Hemisphere Using Bayesian Model Averaging
(2017)
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Models and model selection uncertainty in estimating growth rates of endangered
freshwater mussel populations (2008)
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Bayesian Multimodel Inference for Geostatistical Regression Models (2011)
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Future life expectancy in 35 industrialised countries: projections with a Bayesian
model ensemble (2017)
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Forecasting in dynamic factor models using Bayesian model averaging (2004)
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Mixtures of g-Priors in Generalized Linear Model (200)
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Bayesian model averaging for groundwater head prediction and uncertainty analysis
using multimodel and multimethod (2009)
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Improved Bayesian multimodeling: Integration of copulas and
Bayesian model averaging (2014)
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Enhancing the Predictive Performance of Bayesian Graphical Models (1994)
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Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's
Window (1992)
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Bootstrap model averaging in time series studies of particulate matter air pollution
and mortality (2006)
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Turning Bayesian Model Averaging Into Bayesian Model Combination (2011)
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Ensemble Combination of Seasonal Streamflow Forecasts (2015)
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Bayesian Model Selection in Social Research (1995)
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Bayesian Model Averaging for Linear Regression Models (1997)
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Using Bayesian Model Averaging to Calibrate Forecast Ensembles (2005)
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Online Prediction Under Model Uncertainty via Dynamic Model Averaging: Application to a
Cold Rolling Mill (2010)
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Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data
using Bayesian Model Averaging (2013)
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Assessment of conceptual model uncertainty for the regional aquifer Pampa del
Tamarugal – North Chile (2010)
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On the value of conditioning data to reduce conceptual model uncertainty in
groundwater modeling (2010)
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Model Uncertainty and Bayesian Model Averaged Benchmark Dose Estimation for Continuous
Data (2014)
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Bayesian measures of model complexity and fit (2002)
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Bayesian model averaging in EEG/MEG imaging (2004)
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Variable Selection and Bayesian Mo del Averaging in CaseControl Studies (2001)
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Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke
(1997)
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Comparison of Bayesian model averaging and stepwise methods for model selection in
logistic regression (2004)
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Bayesian Model Selection and Model Averaging (2000)
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The Use of Bayesian Model Averaging to Better Represent Uncertainty in Ecological
Models (2003)
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Assessing Bayesian model averaging uncertainty of groundwater modeling based on
information entropy method (2016)
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Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R
(2015)
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Future projections and uncertainty assessment of extreme rainfall intensity in the United States from an
ensemble of climate models (2012)
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Multimodel Inference
Multimodel Inference and the Understanding of Complexity, Discontinuity, and Normadism
(2006)
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Avoiding Pitfalls When Using Information-Theoretic Methods (2002)
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Pharmacokinetic analysis of tissue microcirculation using nested models: Multimodel
inference and parameter identifiability (2009)
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Model selection and multimodel inference for standardizing catch rates of bycatch species: a case study of
oceanic whitetip shark in the Hawaii-based longline fishery (2013)
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Multimodel Inference: Understanding AIC and BIC in Model Selection (2004)
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AIC model selection and multimodel inference in behavioral ecology: some background,
observations, and comparisons (2011)
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Model averaging and muddled multimodel inferences (2015)
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Multi-model inference in comparative phylogeography: an integrative approach based on
multiple lines of evidence (2015)
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MMI: Multimodel Inference or Models With Management Implications? (2015)
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Quantifying variable importance in a multimodel inference framework (2016)
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Multimodel inference in ecology and evolution: challenges and solutions (2011)
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Accounting for uncertainty in health economic decision models by using model averaging (2009)
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Issues in information theory-based statistical inference—a commentary from a
frequentist’s perspective (2011)
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Differential Equation Modeling of HIV Viral Fitness Experiments: Model Identification, Model Selection, and
Multimodel Inference (2009)
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Chapter 12
Multimodel-Inference in Comparative Analyses (2014)
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Integrate Uncertainty - Method Uncertainty
Integrate Uncertainty - Parameter Uncertainty
Probabilistic Sensitivity Analysis
Probabilistic sensitivity analysis for NICE technology assessment: not an optional extra (2005)
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Probabilistic sensitivity analysis to understand the influence of micromechanical properties of wood on its macroscopic response (2017)
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Probabilistic sensitivity analysis of complex models: a Bayesian approach (2004)
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Bayesian Deep Learning
Towards Robust Evaluations of Continual Learning (2018)
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On Modern Deep Learning and Variational Inference (2015)
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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? (2017)
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A Simple Baseline for Bayesian Uncertainty in Deep Learning (2019)
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Understanding Measures of Uncertainty for Adversarial Example Detection (2018)
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Integrate Uncertainty - Measurement Uncertainty
Structural Equation Modeling
A Brief Guide to Structural Equation Modeling (2006)
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Simulation Extrapolation
Simulation–extrapolation method to address errors in atomic bomb survivor dosimetry on
solid cancer and leukaemia mortality risk estimates, 1950–2003 (2015)
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SIMEX and standard error estimation in semiparametric measurement error models (2009)
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Multiplicative Measurement Error and the Simulation Extrapolation Method (2008)
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Perturbation by multiplicative noise and the Simulation Extrapolation method (2008)
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Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models (1996)
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Simulation-Extrapolation Estimation in Parametric Measurement Error Models (1994)
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Using SIMEX for Smoothing-Parameter Choice in Errors-in-Variables Problems
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SIMEX R Package for Accelerated Failure Time Models with Covariate Measurement Error
(2012)
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Simulation extrapolation estimation
in parametric models with Laplace
measurement error (2014)
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A short Introduction to the SIMEX and MCSIMEX (2006)
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Simulation–extrapolation for bias correction with exposure uncertainty in radiation
risk analysis utilizing grouped data (2018)
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Simulation–extrapolation for bias correction with exposure uncertainty in radiation
risk analysis utilizing grouped data (2017)
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The Multiplicative Simulation-Extrapolation Approach (2007)
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Considerations for analysis of time-to-event outcomes measured with error: Bias and
correction with SIMEX (2016)
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Using the SIMEX Method to Estimate Temporal Change for a High-scoring Group (2008)
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SIMEX R Package for Accelerated Failure Time Models with Covariate Measurement Error
(2012)
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An investigation of the MC-SIMEX method with application to measurement error in periodontal outcomes (2009)
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A simulation-based marginal method for longitudinal data with dropout and mismeasured covariates (2008)
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Regression Calibration
Use of Two-Part Regression Calibration Model to Correct for Measurement Error in
Episodically Consumed Foods in a Single-Replicate Study Design: EPIC Case Study (2014)
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Regression calibration for Cox regression under heteroscedastic measurement error:
determining risk factors of cardiovascular diseases from error-prone nutritional replication data (2008)
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Anwendung von Messmodellen bei der Analyse der Wirkung von Luftschadstoffen (2011)
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Regression Calibration for Classical Exposure Measurement Error in Environmental Epidemiology Studies Using
Multiple Local Surrogate Exposures (2008)
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Sensitivity of regression calibration to non-perfect validation data with application
to the Norwegian Women and Cancer Study
(2015)
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Regression calibration in studies with correlated variables measured with error (2001)
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On Using Summary Statistics From an External Calibration Sample to Correct for
Covariate Measurement Error (2012)
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Long-Term Ambient Residential Traffic–Related Exposures and Measurement Error–Adjusted
Risk of Incident Lung Cancer in the Netherlands Cohort Study on Diet and Cancer (2015)
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The association of long-term exposure to PM2.5 on all-cause mortality in the Nurses’
Health Study
and the impact of measurement-error correction (2015)
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Regression Calibration with More Surrogates than Mismeasured Variables (2012)
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Measurement Error of Self-Reported Physical Activity Levels in New York City:
Assessment and Correction (2015)
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Estimating and testing interactions in linear regression models when explanatory
variables are subject to classical measurement error
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Estimating and testing interactions when explanatory variables are subject to
non-classical measurement error (2013)
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Regression Calibration for Dichotomized Mismeasured Predictors (2009)
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Correction of logistic regression relative risk estimates and confidence intervals for
systematic within-person measurement error (1989)
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Measurement Error Correction in Nutritional Epidemiology based on Individual Foods, with Application to the
Relation of Diet to Breast Cancer (2001)
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Measurement error correction for nutritional exposures with correlated measurement
error: Use of the method of triads in a longitudinal setting (2008)
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Regression calibration for logistic regression with multiple surrogates for one
exposure (2007)
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Regression calibration method for correcting measurement-error bias in nutritional
epidemiology (1997)
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Regression Calibration with Heteroscedastic Error Variance (2011)
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Equivalence of regression calibration methods in main study/external validation study
designs (2003)
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Flexible regression calibration for covariate measurement error with longitudinal
surrogate variables (2000)
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Bayesian Hierarchical Modeling
Bayesian correction for covariate measurement error: A frequentist evaluation and
comparison with regression calibration (2018)
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A Bayesian Multi-level model for estimating the diet/disease relationship in a
multicenter study with exposures measured with error: the EPIC study (2008)
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Conditional independence models for epidemiological studies with covariate
measurement error (1993)
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