18.655 | Spring 2016 | Graduate

Mathematical Statistics

Lecture Notes

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282 kB
Mathematical Statistics, Lecture 1 Topics Overview
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601 kB
Mathematical Statistics, Lecture 2 Statistical Models
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438 kB
Mathematical Statistics, Lecture 3 Bayesian Models
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671 kB
Mathematical Statistics, Lecture 4 Decision Theoretic Framework
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559 kB
Mathematical Statistics, Lecture 5 Prediction
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562 kB
Mathematical Statistics, Lecture 6 Sufficiency
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743 kB
Mathematical Statistics, Lecture 7 Exponential Families
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573 kB
Mathematical Statistics, Lecture 8 Exponential Families II
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748 kB
Mathematical Statistics, Lecture 9 Methods of Estimation
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922 kB
Mathematical Statistics, Lecture 10 Methods of Estimation II
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484 kB
Mathematical Statistics, Lecture 11 Bayes Procedures
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511 kB
Mathematical Statistics, Lecture 12 Minimax Procedures
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509 kB
Mathematical Statistics, Lecture 13 Unbiased Estimation and Risk Inequalities
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359 kB
Mathematical Statistics, Lecture 14 Convergence of Random Variables Probability Inequalities
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515 kB
Mathematical Statistics, Lecture 15 Limit Theorems
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745 kB
Mathematical Statistics, Lecture 16 Asymptotics: Consistency and Delta Method
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582 kB
Mathematical Statistics, Lecture 17 Asymptotics II: Limiting Distributions
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643 kB
Mathematical Statistics, Lecture 18 Asymptotics III: Bayes Inference and Large-Sample Tests
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855 kB
Mathematical Statistics, Lecture 19 Gaussian Linear Models
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538 kB
Mathematical Statistics, Lecture 20-25 Generalized Linear Models
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411 kB
Mathematical Statistics, Lecture 26 Case Study: Applying Generalized Linear Models

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Spring 2016

Level

Graduate

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