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Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing

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Related lectures (32)

Page 2 of 4

Specification Testing and Machine Learning

Explores specification testing, machine learning, overfitting, regularization, prediction tests, and variable selection.

General Linear Model: Model Selection

Explores the General Linear Model, significance testing, model selection, and parameter inference.

Analysis of Variance: ANOVA

Covers Analysis of Variance (ANOVA) to compare means of multiple groups efficiently.

Model Selection

Covers model selection, emphasizing the tradeoff between complexity and error in data analysis.

Mixture models: alternative specific variance

Explores alternative specific variance in mixture models and discusses identification issues and model comparisons using 500 draws.

From signal to observables

Compares gaseous, scintillator, and semiconductor detectors for radiation detection, emphasizing the importance of understanding uncertainties in measurements.

Pitfalls in Empirical NLP Research

Explores pitfalls in NLP research, emphasizing the importance of standardized metrics and statistical testing.

DOE Qualitative factors: IV

Explores qualitative factors in Design of Experiments, including statistical tests and error types.

Data Wrangling and Analysis

Covers a homework assignment on data wrangling and analysis using Python's pandas library for real-world datasets.

Qualitative Factors: Statistical Test and Errors

Covers the computation of effects in Design of Experiments and explains statistical tests and errors, including type I and II errors.