… In this section, we describe a conditional approach to selective inference that allows the
scientist … “Simultaneous and selective inference: Current successes and future challenges”. eng. …

… More generally, many aspects of the mind and brain can be recast as computational
problems of inductive inference. Bayesian probabilistic models present a particularly attractive …

… We investigate a class of methods for selective inference that condition on a … simultaneous
over the selected is not a different concept from just simultaneous over U, ie, simultaneous…

… of parallel inference problems simultaneously. This poses significant challenges and calls
… Selective inference, which involves making further inference on the selected variables, is an …

… of tasks including unisensory and multisensory perceptual tasks, … causal inference as a
parsimonious and unifying theory in cognitive neuroscience and examine its evolution, successes…

… However, these models have not had much success in explaining visual inference beyond its
… The internal mechanisms of visual inference are faced with qualitatively similar challenges: …

… This is to simultaneously zero in on the arguments between … problems of inference, it is the
arguments and debates … we record success or failure, assume a fixed probability of success θ …

… the critical challenges and future directions for applying RL to power system problems in depth.
… success in many complex tasks, the actor-critic methods are known to suffer from various …

… We consider the problem of inference on the signs of n > 1 parameters. We aim to provide
1 − α post … Simultaneous and selective inference: Current successes and future challenges. …

… in the community of the dangers of selective inference. … for valid inference is a formidable
mathematical challenge. The … want to infer on more than one cluster simultaneously; several …