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“后验”是指在考虑与所审查的特定案件有关的相关证据之后。类似地，后验概率分布是未知量的概率分布，视从实验或调查获得的证据为条件，该未知量被视为随机变量。
Comparing statistical likelihoods with diagnostic probabilities based on directly observed proportions to help understand and perhaps overcome the replication crisis
Arxiv
0+阅读 · 10月4日
Assessing Spatial Disparities: A Bayesian Linear Regression Approach
Arxiv
0+阅读 · 10月4日
Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers
Arxiv
0+阅读 · 9月30日
A general approach to fitting multistate cure models based on an extended-long-format data structure
Arxiv
0+阅读 · 9月15日
Marginal Structural Modeling of Representative Treatment Trajectories
Arxiv
0+阅读 · 9月7日
Marginal Structural Modeling of Representative Treatment Trajectories
Arxiv
0+阅读 · 9月16日
Bayesian Inference and the Principle of Maximum Entropy
Arxiv
0+阅读 · 7月17日
Nested smoothing algorithms for inference and tracking of heterogeneous multi-scale state-space systems
Arxiv
0+阅读 · 7月5日
Bayesian analysis of biomarker levels can predict time of recurrence of prostate cancer with strictly positive apparent Shannon information against an exponential attrition prior
Arxiv
0+阅读 · 6月28日
Comparing statistical likelihoods with diagnostic probabilities based on directly observed proportions to help understand the replication crisis
Arxiv
0+阅读 · 6月21日
Variational Flow Matching for Graph Generation
Arxiv
0+阅读 · 6月7日
Fast Power Curve Approximation for Posterior Analyses
Arxiv
0+阅读 · 5月27日
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
Arxiv
0+阅读 · 5月25日
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
Arxiv
0+阅读 · 5月22日
Comparing statistical likelihoods with diagnostic probabilities based on directly observed proportions to help understand the replication crisis
Arxiv
0+阅读 · 5月13日
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