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

Nancy Reid, David R. Cox, On Some Principles of Statistical Inference, International Statistical Review / Revue Internationale de Statistique, Vol. 83, No. 2 (August 2015), pp. 293-308 ...

Manabu Hoshino, Yoshinori Nakanishi-Ohno, Daisuke Hashizume. Inference-assisted intelligent crystallography based on preliminary data. Scientific Reports, 2019; 9 (1) DOI: 10.1038/s41598-019-48362-3 ...

A field comes of age Population genomics arose as early efforts in the field attempted to reconcile Charles Darwin's notion of evolution by means of natural selection with the first inklings of ...

We consider inference for the matrix of origin-destination (O-D) trip rates for a transit system, based on counts of the passengers boarding and alighting at each stop. The observed data provide only ...

Journal of the American Statistical Association (2017). [2] Exact inference around ordinal measures of association is often not exact. Computer Methods and Programs in Biomedicine (2023).

The issue, Statistical Inference in the 21st Century: A World Beyond P<0.05, calls for an end to the practice of using a probability value (p-value) of less than 0.05 as strong evidence against a ...

We all have the habit of trying to guess the killer in a movie before the big reveal. That’s us making inferences.

What emerged from the inference revolution was the “null ritual” — the practice of assuming a null hypothesis (no difference, or no correlation) and then rejecting it if the P value for ...