1 Markov Chain Monte Carlo Methods 1.4 The Gibbs Sampler 1.4.1 The Slice Gibbs Sampler 1.5 Monitoring Convergence 1.5.1 Convergence diagnostics plots 1.5.2 Monte Carlo Error 1.5.3 The Gelman-Rubin Method 1.6 WinBUGS Introduction 1.6.1 Building Bayesian models in WinBUGS 1.6.2 Model specification in WinBUGS 1.6.3 Data and initial value specification 1.6.4 Compiling model and simulating values

中国科学技术大学：《程序分析与程序验证》课程教学资源（课件讲稿）第2章 数据流分析（Nielson等）Principles of Program Analysis - Data Flow Analysis

2.1 C++的数据类型 2.2 常量 2.3 变量 2.4 C++的运算符 2.5 算术运算符与算术表达式 2.6 赋值运算符与赋值表达式 2.7 逗号运算符与逗号表达式

《金融投资学》教学资源（英文文献）Data-Snooping Biases in Tests of Financial Asset Pricing Models

 线性表  顺序表  单链表  循环链表  双向链表  多项式 线性表的物理实现 单链表的变化形式 链表的应用

◼ Object Based Programming ◼ Classes regarded as new data types ◼ Single layer in hierarchy ◼ Not convenient in “Entity-Relation” relationship – “is-a” – “has-a” – “is implemented of” ◼ Object Oriented Programming ◼ Focus on the relationship between classes ◼ Hierarchical in structure ◼ Good at “Entity-Relation” relationship ◼ Main features: inheritance and polymorphism

8.1 采样控制 8.2 采样过程和采样定理 8.3 信号恢复 8.4 Z变换理论及线性差分方程求解 8.5 脉冲传递函数 8.6 采样系统的稳定性分析 8.7 采样系统的稳态误差 8.8 采样系统的暂态特性分析

• 一维数组与多维数组 • 特殊矩阵 • 稀疏矩阵 • 字符串 • 广义表

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◼ Rate、constituent ratio and ratio ◼ Application of relative measurement ◼ Standardization rate ◼ Dynamic series