Conditional probability looks at the likelihood of an event occurring based on the prior occurrence of another event (e.g., if I walk on the ice, what is the probability I will fall).

I recently played in a $20,000 buy-in no-limit hold'em invitational tournament at Wynn Las Vegas. It was a short field of 23 players and would air live on FoxSportsNet.

In statistics, a frequentist interpretation looks only at the simple probability. But Bayes' theorem works with conditional information rather than just looking at a positive result, says Adam Frank.

Learning Outcomes Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the ...

In analyzing the general election race, it’s only the conditional probabilities that matter. If Bush is good enough to win the primary, he’s probably good enough to give Republicans about a 50 ...

Conditional probability offers more relevant information regarding survival for patients once they have survived for some time. We report conditional survival probabilities on the basis of 498 ...

We propose a group sequential method based on the sequential conditional probability ratio test and show that it has the conservatism desired in practice. We also propose calculating the discordant ...