Distributed hypothesis testing (DHT) and source coding are interrelated domains that address the challenges of reliable communication and decision-making in networked systems. In DHT, multiple nodes ...

For any probability model $M\equiv \{p(x|\theta,\omega),\theta \in \Theta,\omega \in \Omega \}$ assumed to describe the probabilistic behaviour of data x∈ X, it is ...

Bayesian hypothesis testing for nonnested hypotheses is studied, using various "default" Bayes factors, such as the fractional Bayes factor, the median intrinsic Bayes factor, and the encompassing and ...

In the realm of technical product development, hypothesis testing acts as a bridge between design, data and decision-making. It enables teams to move beyond assumptions and validate their ideas ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

In Hypothesis Testing 1, 2 and 3, you have used normal and t-distributions to test hypotheses. Chi-Square tests use the Chi-Square probability distribution. You will be introduced to the use of that ...

Type 1 diabetes (T1D) is an autoimmune disease in which the pancreas makes little or no insulin. The details on the events that occur during autoimmune destruction of the pancreatic beta-cells have ...

Gating indicators recommended by CDC for phased reopening following COVID-19 shutdowns include “sustained decreases” or a “downward trajectory…over a 14-day period” in public health statistics. These ...

Would it be possible that an industrialized civilization existed on Earth before the current human civilization? Two scientists proposed a hypothesis that says that if an industrial civilization did ...