StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
v0.4.2 documents CALIBRATED_EIGENBASIS as an experimental SpectralQuant-inspired FDE/LSH adaptation, adds explicit SpectralQuant attribution, and calls out the main Eigenbasis reconstruction-risk ...
This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2020. Interest in logics with some notion of real-valued truths has ...
16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may ...
The connectivity structure of neuronal networks in cortex is highly dynamic. This ongoing cortical rewiring is assumed to serve important functions for learning and memory. We analyze in this article ...