4 papers · 1 filter
The typicality principle and its implications for statistics and data science
Yiran Jiang, Zeyu Zhang, Ryan Martin +1
A central focus of data science is the transformation of empirical evidence into knowledge. As such, the key insights and scientific attitudes of deep thinkers like Fisher, Popper,…
Regularized e-processes: anytime valid inference with knowledge-based efficiency gains
Ryan Martin
Classical statistical methods have theoretical justification when the sample size is predetermined. In applications, however, it's often the case that sample sizes are data-depende…
Which statistical hypotheses are afflicted with false confidence?
Ryan Martin
The false confidence theorem establishes that, for any data-driven, precise-probabilistic method for uncertainty quantification, there exists (non-trivial) false hypotheses to whic…
Fisher's underworld and the behavioral-statistical reliability balance in scientific inference
Ryan Martin
That science and other domains are now largely data-driven means virtually unlimited opportunities for statisticians. With great power comes responsibility, so it's imperative that…