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Network inference with disturbed data was repeated 100 times, leading to a series of inferred models.
Inference with Few Heterogenous Clusters.
& Pouget, A. Bayesian inference with probabilistic population codes.
Aitchison, L. & Lengyel, M. The Hamiltonian brain: efficient probabilistic inference with excitatory-inhibitory neural circuit dynamics.
Their population-aware analysis enables structural inference with greater accuracy than previous methods.
But experienced managers have learned to combine inference with hardnosed rationality.
Newton, M. A. & Raftery, A. E. Approximate Bayesian inference with the weighted likelihood bootstrap.
Lee, C., Abdool, A. & Huang, C.-H. C.-H. PCA-basedation structure inference with generic clustering algorithms.
Welling, M. et al. Bayesian inference with big data: a snapshot from a workshop.
Cameron, A. C., Gelbach, J. B. & Miller, D. L. Robust inference with multiway clustering.
assumption violations, inference with confidence intervals and experimental designs with R software.
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