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Related lectures (12)
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Conditional Expectation: Properties and Examples
Explores conditional expectation properties, variance, and examples in practical applications.
Function Prototyping
Covers the importance of prototyping functions before using them, providing examples and best practices to follow.
Extreme Value Theory: Dependence Effects
Explores the extremal index and its impact on extreme events in stationary processes, along with the D'(u) condition for short-range dependence modeling.
Estimating R: Marginal and Conditional Distributions
Covers the estimation of R using bivariate normal distributions and explores the marginal and conditional distributions of X₁ and X₂.
Object-Oriented Programming: Mini-project Overview
Introduces the mini-project 2, focusing on practicing object-oriented programming concepts.
Intraday Data Analysis
Covers intraday data analysis, systematic studies, debugging, multicore computing, GPU programming, and correlation computation with GPUs.
Modular Programming: Managing Project Complexity
Covers modular programming principles, focusing on managing project complexity through effective code structuring and dependency management.
Central Limit Theorem: Illustration and Applications
Explores the Central Limit Theorem and its applications in statistical analysis.
Classes and Encapsulation: Principles of Modular Programming
Covers the principles of classes, encapsulation, and modular programming in C++.
Object-Oriented Programming: Heterogeneous Collections in C++
Covers the implementation of heterogeneous collections in C++ object-oriented programming, focusing on memory management and design choices.
Extreme Value Theory: Applications to Time Series
Explores Extreme Value Theory applications to time series, discussing extremogram, moving maxima, and rare event threshold sequences.
Functions in C: Key Concepts and Examples
Explains the essential concepts of functions in C programming, including definitions, prototypes, and argument passing techniques.
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