Lectures related to R package | EPFL Graph Search

Continuous-Time Stochastic Processes: Linear System

Covers the analysis of continuous-time stochastic processes in the context of linear systems.

Introduction to R Programming for Genetics & Genomics

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

Binomial Distribution in R

Introduces the Binomial distribution in R with examples of n coin tosses.

ANOVA & Moderation

Covers ANOVA, mediation, and moderation analyses in R for CS-411 Digital Education.

Model Formulas in R: Basics and Applications

Explores model formulas in R, covering basics, interactions, ANOVA, and factorial designs with practical examples.

R Programming: Conditions, Loops, Functions & Graphics

Covers conditions, loops, functions, and graphics in R programming with practical examples.

Generalized Additive Models: Applications and Techniques

Explores Generalized Additive Models, covering basics, smooth functions, penalties, practical examples in R, and linear mixed models.

Exploratory Data Analysis: Binning and Histograms

Covers statistical frequency, binning, histograms, and R data analysis basics.

Experimental Research Design: T-Test Analysis

Explores digital lesson development, experimental research, t-tests, ANOVA, and statistical analysis using R.

Model-Based Clustering Methods

Introduces model-based clustering methods using mixture models and latent variables, with practical examples on iris data.

Reproducible Research: Principles and Tools

Covers the principles and tools for reproducible research in biostatistics, emphasizing the importance of complete documentation and the use of text editors for compiling source documents.

Linear Regression: Confidence Bounds

Covers linear regression coefficients, confidence intervals, and R's calculation methods.

Stochastic Processes: Definitions and Examples

Covers stochastic processes in continuous time, including probability functions and stock processes.

Poisson Processes: Impulsive Noise

Covers Poisson processes and impulsive noise models.

Survival Analysis: Cox Proportional Hazards Model

Introduces the Cox proportional hazards model for survival analysis, covering estimation, assessment of assumptions, and interpretation using residuals.

Statistics essentials: ANOVA

Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.

Stochastic Models for Communications: Continuous-Time Stochastic Processes - Stationarity

Explores the concept of stationarity in continuous-time stochastic processes and its implications.

Estimation Methods in Probability and Statistics

Discusses estimation methods in probability and statistics, focusing on maximum likelihood estimation and confidence intervals.

Catalytic Asymmetric Reactions in Organic Chemistry

Covers catalytic asymmetric reactions in organic chemistry, focusing on various methods and mechanisms.