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INTRODUCTION TO COMPUTATIONAL STATISTICS

COMPSCI/STAT 471
课程描述

Classical statistical procedures arise where closed-form mathematical expressions are available for various inference summaries (e.g. linear regression; analysis of variance). A major emphasis of modern statistics is the development of inference principles in cases where both more complex data structures are involved and where more elaborate computations are required. Topics from numerical linear algebra, optimization, Monte Carlo (including Markov chain Monte Carlo), and graph theory are developed, especially as they relate to statistical inference (e.g., bootstrapping, permutation, Bayesian inference, EM algorithm, multivariate analysis).

先修课程

MATH/STAT 310 and (STAT 333 or STAT 340 ), graduate/professional standing, or declared in Statistics VISP

满足要求

This course does not satisfy any prerequisites.

学分

未报告

开课时间

未报告

平均绩点
2.5

-26.1% 相比历史数据

完成率
78.95%

-18.85% 相比历史数据

A率
26.32%

-40.95% 相比历史数据

班级规模
19

-38.04% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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