I recommend iShares Core 60/40 Balanced Allocation ETF (AOR) as a core holding for index portfolios, leveraging its classic 60/40 equity-fixed income allocation. AOR is well-positioned for a macro ...

Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

School of Psychology, Universidad Autónoma de Nuevo León, Monterrey, Mexico. Consequently, AS seems to be an excellent measure of asymmetry, but it is not being used in methodological or applied ...

The Central Limit Theorem is a statistical concept applied to large data distributions. It says that as you randomly sample data from a distribution, the means and standard deviations of the samples ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...

Sampling distributions are vital in the world of statistics and data analysis. They provide estimations and insight into the characteristics of a population based on samples taken from that population ...