Simulation-based inference with approximately correct parameters via maximum entropy (original) (raw)

On The Relationship between Bayesian and Maximum Entropy Inference

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AIP Conference Proceedings, 2004

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Estimation Bias in Maximum Entropy Models

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Accelerating molecular simulations of proteins using Bayesian inference on weak information

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K2-ABC: Approximate Bayesian Computation with Infinite Dimensional Summary Statistics via Kernel Embeddings

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Julio M Stern

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Likelihood-free estimation of model evidence

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Perfect Simulation for Sample-Based Inference

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Estimating Entropy Rates with Bayesian Confidence Intervals

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Marginal Likelihood Estimation with the Cross-Entropy Method

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Approximate Bayesian inference in semi-mechanistic models

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K2-ABC: Approximate Bayesian Computation with Kernel Embeddings

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Cornell University - arXiv, 2015

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Distilling Importance Sampling for Likelihood Free Inference

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Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output

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arXiv (Cornell University), 2022

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Simulation-based model selection for dynamical systems in systems and population biology

Michael P.H. Stumpf

Bioinformatics (Oxford, England), 2010

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Entropy and Inference, Revisited

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Advances in Neural Information Processing Systems 14, 2002

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Preface of the 41st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Frederic Barbaresco

The 41st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

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Inferring a Property of a Large System from a Small Number of Samples

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A review of approximate Bayesian computation methods via density estimation: Inference for simulator‐models

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Information-Theoretic Approximation to Causal Models

Peter Gmeiner

2020

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BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 28th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Kevin Knuth

2008

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Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data

zahra narimani

PloS one, 2017

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Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models

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Journal of The Royal Society Interface

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Path-space variational inference for non-equilibrium coarse-grained systems

Vagelis Harmandaris

Journal of Computational Physics, 2016

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Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity

David Heckerman

Bayesian statistics, 2007

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An Efficient Bayesian Inference Framework for Coalescent-Based Nonparametric Phylodynamics

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Maximizing the Information Content of Experiments in Systems Biology

Juliane Liepe, P. Filippi

PLoS Computational Biology, 2013

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Maximum Entropy Multivariate Density Estimation: An exact goodness-of-fit approach

Sabbir Bin Anis

Computing Research Repository, 2004

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On the maximum-entropy approach to undersized samples

Denzil Fiebig

1984

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The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference

Herman Van Dijk

SSRN Electronic Journal, 2000

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Recursive Pathways to Marginal Likelihood Estimation with Prior-Sensitivity Analysis

Tony Pettitt

Statistical Science, 2014

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Network Inference and Maximum Entropy Estimation on Information Diagrams

Jaroslav Hlinka

Scientific Reports, 2017

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