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leadership in the statistical sciences, at the local, national and international levels. Rice Statistics has strengths in Bayesian statistics, machine learning, multivariate analysis, dependent data, data
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the graduate curriculum, and social sciences scholarship across the school. Examples of topic areas include (but are NOT limited to): models for inference (e.g., SEM/CFA, Bayesian modeling, linear mixed effects
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leadership in the statistical sciences, at the local, national and international levels. Rice Statistics has strengths in Bayesian statistics, machine learning, multivariate analysis, dependent data, data
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, and social sciences scholarship across the school. Examples of topic areas include (but are NOT limited to): models for inference (e.g., SEM/CFA, Bayesian modeling, linear mixed effects), data mining