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Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization

Journal of computational and graphical statistics, 2024-01, Vol.33 (1), p.101-111

2024

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Variational Approximation for Mixtures of Linear Mixed Models

Journal of computational and graphical statistics, 2014-06, Vol.23 (2), p.564-585

2014

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Meta-analysis and gene set enrichment relative to er status reveal elevated activity of MYC and E2F in the "basal" breast cancer subgroup

PloS one, 2009-03, Vol.4 (3), p.e4710-e4710

2009

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Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments

Journal of the American Statistical Association, 2023-10, Vol.118 (544), p.2821-2832

2023

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Variational Bayes With Intractable Likelihood

Journal of computational and graphical statistics, 2017-10, Vol.26 (4), p.873-882

2017

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Robust Bayesian synthetic likelihood via a semi-parametric approach

Statistics and computing, 2020-05, Vol.30 (3), p.543-557

2020

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Variational inference and sparsity in high-dimensional deep Gaussian mixture models

Statistics and computing, 2022-10, Vol.32 (5), Article 70

2022

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Variational Inference for Cutting Feedback in Misspecified Models

Statistical science, 2023-08, Vol.38 (3), p.490

2023

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Fast and accurate variational inference for models with many latent variables

Journal of econometrics, 2022-10, Vol.230 (2), p.339-362

2022

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Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection?

Water resources research, 2012-12, Vol.48 (12), p.n/a

2012

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Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance

Journal of computational and graphical statistics, 2021-10, Vol.30 (4), p.977-990

2021

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Checking for Prior-Data Conflict Using Prior-to-Posterior Divergences

Statistical science, 2020-05, Vol.35 (2), p.234-253

2020

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Gaussian variational approximation with sparse precision matrices

Statistics and computing, 2018-03, Vol.28 (2), p.259-275

2018

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Deep distributional time series models and the probabilistic forecasting of intraday electricity prices

Journal of applied econometrics (Chichester, England), 2023-06, Vol.38 (4), p.493-511

2023

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Marginally Calibrated Deep Distributional Regression

Journal of computational and graphical statistics, 2021-06, Vol.30 (2), p.467-483

2021

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Efficient MCMC Schemes for Computationally Expensive Posterior Distributions

Technometrics, 2011-02, Vol.53 (1), p.16-28

2011

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High-Dimensional Copula Variational Approximation Through Transformation

Journal of computational and graphical statistics, 2020-10, Vol.29 (4), p.729-743

2020

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Ecohydrologic Error Models for Improved Bayesian Inference in Remotely Sensed Catchments

Water resources research, 2019-06, Vol.55 (6), p.4533-4549

2019

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Variational Bayes with synthetic likelihood

Statistics and computing, 2018-07, Vol.28 (4), p.971-988

2018

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Likelihood-free approximate Gibbs sampling

Statistics and computing, 2020-07, Vol.30 (4), p.1057-1073

2020

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A stepwise likelihood ratio test procedure for rare variant selection in case-control studies

Journal of human genetics, 2014-04, Vol.59 (4), p.198-205

2014

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Modularized Bayesian analyses and cutting feedback in likelihood-free inference

Statistics and computing, 2023-02, Vol.33 (1), Article 33

2023

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Determining the species composition of the shark fin trade in Singapore: a globally significant Southeast Asian market

Reviews in fish biology and fisheries, 2024-09, Vol.34 (3), p.1101-1112

2024

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Detecting conflicting summary statistics in likelihood-free inference

Statistics and computing, 2021-11, Vol.31 (6), Article 78

2021

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Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso

Journal of computational and graphical statistics, 2019-04, Vol.28 (2), p.471-475

2019

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Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization

Variational Approximation for Mixtures of Linear Mixed Models

Meta-analysis and gene set enrichment relative to er status reveal elevated activity of MYC and E2F in the "basal" breast cancer subgroup

Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments

Variational Bayes With Intractable Likelihood

Robust Bayesian synthetic likelihood via a semi-parametric approach

Variational inference and sparsity in high-dimensional deep Gaussian mixture models

Variational Inference for Cutting Feedback in Misspecified Models

Fast and accurate variational inference for models with many latent variables

Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection?

Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance

Checking for Prior-Data Conflict Using Prior-to-Posterior Divergences

Gaussian variational approximation with sparse precision matrices

Deep distributional time series models and the probabilistic forecasting of intraday electricity prices

Marginally Calibrated Deep Distributional Regression

Efficient MCMC Schemes for Computationally Expensive Posterior Distributions

High-Dimensional Copula Variational Approximation Through Transformation

Ecohydrologic Error Models for Improved Bayesian Inference in Remotely Sensed Catchments

Variational Bayes with synthetic likelihood

Likelihood-free approximate Gibbs sampling

A stepwise likelihood ratio test procedure for rare variant selection in case-control studies

Modularized Bayesian analyses and cutting feedback in likelihood-free inference

Determining the species composition of the shark fin trade in Singapore: a globally significant Southeast Asian market

Detecting conflicting summary statistics in likelihood-free inference

Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso

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