Modern Bayesian experimental design
Bayesian experimental design (BED) provides a powerful and general framework for
optimizing the design of experiments. However, its deployment often poses substantial …
optimizing the design of experiments. However, its deployment often poses substantial …
[HTML][HTML] Individual differences in computational psychiatry: A review of current challenges
Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …
instruments for studying clinically relevant individual differences. One promising approach is …
[HTML][HTML] Bayes factor design analysis: Planning for compelling evidence
FD Schönbrodt, EJ Wagenmakers - Psychonomic bulletin & review, 2018 - Springer
A sizeable literature exists on the use of frequentist power analysis in the null-hypothesis
significance testing (NHST) paradigm to facilitate the design of informative experiments. In …
significance testing (NHST) paradigm to facilitate the design of informative experiments. In …
A review of modern computational algorithms for Bayesian optimal design
Bayesian experimental design is a fast growing area of research with many real‐world
applications. As computational power has increased over the years, so has the development …
applications. As computational power has increased over the years, so has the development …
Optimizing sequential experimental design with deep reinforcement learning
Bayesian approaches developed to solve the optimal design of sequential experiments are
mathematically elegant but computationally challenging. Recently, techniques using …
mathematically elegant but computationally challenging. Recently, techniques using …
[HTML][HTML] Bayesian adaptive estimation of the contrast sensitivity function: the quick CSF method
The contrast sensitivity function (CSF) predicts functional vision better than acuity, but long
testing times prevent its psychophysical assessment in clinical and practical applications …
testing times prevent its psychophysical assessment in clinical and practical applications …
Adaptive Bayesian quantum tomography
F Huszár, NMT Houlsby - Physical Review A—Atomic, Molecular, and Optical …, 2012 - APS
In this paper we revisit the problem of optimal design of quantum tomographic experiments.
In contrast to previous approaches where an optimal set of measurements is decided in …
In contrast to previous approaches where an optimal set of measurements is decided in …
Asking the right questions about the psychology of human inquiry: Nine open challenges
The ability to act on the world with the goal of gaining information is core to human
adaptability and intelligence. Perhaps the most successful and influential account of such …
adaptability and intelligence. Perhaps the most successful and influential account of such …
A tutorial on adaptive design optimization
Experimentation is ubiquitous in the field of psychology and fundamental to the
advancement of its science, and one of the biggest challenges for researchers is designing …
advancement of its science, and one of the biggest challenges for researchers is designing …
Experience matters: Information acquisition optimizes probability gain
Deciding which piece of information to acquire or attend to is fundamental to perception,
categorization, medical diagnosis, and scientific inference. Four statistical theories of the …
categorization, medical diagnosis, and scientific inference. Four statistical theories of the …