To Fund or Not to Fund: Using Bayesian Networks to Make Decisions About Conserving Our World’s Endangered Species
Gavin Stewart, Kerrie Mengersen, Georgina M. Mace, Jeff A. McNeely, Jegar Pitchforth, and Ben Collen report on the use of Bayesian Networks for prioritizing the conversation of a group of endangered species.
This article is in response to “Can Tax Deadlines Cause Fatal Mistakes?” by D.A. Redelmeier and C.J. Yarnell in CHANCE 26.2
Marcello Pagano and Sarah Anoke discuss the potential hazards of using regression when there is reason to believe one or more of the involved variables was measured with less precision than the others.
Paul Rosenbaum offers an engaging justification for applying differential comparisons in observational studies. Differential comparisons are simple in nature and are easy to apply. They can be used as an efficient remedy for scenarios in which non-measurable but non-ignorable biases can damagingly affect the estimation of the parameters of a statistical model.
The Value of s at Which a Major League Player with Multiple Hitting Streaks of at Least s Games Might Be Termed ‘Streak Prone’
Ira Horowitz and Jim Lackritz analyze the hitting streaks in which individual at-bats are viewed as a Bernoulli process in which a success is a hit that occurs with a fixed probability that equals a player’s batting average on any given trial.
Michelle Dunn and Sam Behseta interview Jay Kadane, discussing his latest book, Principles of Uncertainty, his views on statistics, and his advocacy for human rights.