If you’re considering moving to a role in statistical programming, now is the time to invest in your skills, expand your knowledge beyond SAS and embrace the power of R, Python, AI and ML.

Problems involving causal inference have dogged at the heels of statistics since its earliest days. Correlation does not imply causation, and yet causal conclusions drawn from a carefully designed ...

Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from quantitative data. But what is a statistic? Let’s find out. The word ...

Denis Belomestny, STATISTICAL INFERENCE FOR TIME-CHANGED LÉVY PROCESSES VIA COMPOSITE CHARACTERISTIC FUNCTION ESTIMATION, The Annals of Statistics, Vol. 39, No. 4 (August 2011), pp. 2205-2242 ...

Courses Probability Theory: Foundation for Data Science Statistical Inference for Estimation in Data Science Statistical Inference and Hypothesis Testing in Data Science Applications This ...

Journal of the American Statistical Association (2023). [2] Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem. Inverse Problems (2020).