Lectures related to Texas Instruments

Statistical Estimation: Maximum Likelihood

Explores Maximum Likelihood Estimation properties, challenges, and alternative methods in statistical inference.

Explores statistical tests like the Wald test and p-values, emphasizing their calculation and interpretation.

Explores optimal testing methods in statistics, focusing on the Neyman-Pearson framework and the construction of test functions for different types of hypotheses.

Optimality in Statistical Inference

Delves into the duality between confidence intervals and hypothesis tests, emphasizing the importance of precision and accuracy in estimation.

Assessing Significance and Fit

Covers confidence intervals, R2, and examples on cement heat evolution and car horsepower-MPG relationships.

Exponential Families Sampling

Covers sampling from exponential families, joint distribution, moments, and convergence theorems.

64-bit Kogge-Stone Adder: Radix-4, Sparsity-4

Covers the project definition for designing a 64-bit Kogge-Stone adder with Radix-4 and Sparsity-4.