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The statistical inference methods are discussed in the section of "Methods to infer demographic parameters".
Counterfactuals and causal inference: Methods and principles for social research.
Miratrix's primary research focus is on causal inference methods.
Prerequisite: Understanding of basic probability theory and statistical inference methods.
Rights & permissionsfor article A comparison of single-cell trajectory inference methods.
De Smet, R. & Marchal, K. Advantages and limitations of current network inference methods.
Additional research projects examined international alliance networks and causal inference methods for observational data.
Schaffter, T., Marbach, D. & Floreano, D. GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods.
Bayesian inference methods are used to combine data and quantify uncertainty in the estimate.
Then we use modern causal inference methods to construct a novel doubly robust estimator.
Explanation in Causal Inference: Methods for Mediation and Interaction, Oxford University Press.
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