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Inference on Treatment Effects after Selection among High-Dimensional Controls
by Belloni, Alexandre
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A Rapid Bootstrap Algorithm for the RAxML Web Servers
by Stamatakis, Alexandros
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Fundamentals and Recent Developments in Approximate Bayesian Computation
by Lintusaari, Jarno
Systematic biology, 2017-01-01, Vol.66 (1), p.e66-e82
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Terrace Aware Data Structure for Phylogenomic Inference from Supermatrices
by Chernomor, Olga
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Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable
by Elwert, Felix
Annual review of sociology, 2014-01-01, Vol.40 (1), p.31-53
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MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
by Ronquist, Fredrik
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Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
by Rambaut, Andrew
Systematic biology, 2018-09-01, Vol.67 (5), p.901-904
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Inference in the Brain: Statistics Flowing in Redundant Population Codes
by Pitkow, Xaq
Neuron (Cambridge, Mass.), 2017-06-07, Vol.94 (5), p.943-953
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A comparison of single-cell trajectory inference methods
by Saelens, Wouter
Nature biotechnology, 2019-04-01, Vol.37 (5), p.547-554
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RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language
by Höhna, Sebastian
Systematic biology, 2016-07-01, Vol.65 (4), p.726-736
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Model Selection and Parameter Inference in Phylogenetics Using Nested Sampling
by Russel, Patricio Maturana
Systematic biology, 2019-03-01, Vol.68 (2), p.219-233
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Approximate Bayesian Computation in Evolution and Ecology
by Beaumont, Mark A
Annual review of ecology, evolution, and systematics, 2010-12-01, Vol.41 (1), p.379-406
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Survey of Branch Support Methods Demonstrates Accuracy, Power, and Robustness of Fast Likelihood-based Approximation Schemes
by Anisimova, Maria
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The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective
by Bruineberg, Jelly P
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Effective Online Bayesian Phylogenetics via Sequential Monte Carlo with Guided Proposals
by Fourment, Mathieu
Systematic biology, 2018-05-01, Vol.67 (3), p.490-502
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A comparative evaluation of stochastic-based inference methods for Gaussian process models
by Filippone, M
Machine learning, 2013-06-28, Vol.93 (1), p.93-114
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Model-based kernel sum rule: kernel Bayesian inference with probabilistic models
by Nishiyama, Yu
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Model selection and model averaging in behavioural ecology: the utility of the IT-AIC framework
by Richards, Shane A
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From machine learning to machine reasoning: An essay
by Bottou, Léon
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