Analysis of Big Data
نویسنده
چکیده
1 Theoretical foundation 2 1.1 Statistical models and parameter spaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Limit theorems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 Estimation theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.4 Likelihood-based estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.5 Likelihood-based model selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.6 Sufficient statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
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تاریخ انتشار 2017