Patrick F. Bloniasz
@bloniaszpStatististical Neuroscience PhD Candidate at Boston University; Time Series Analysis; Philosophy of Science
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I-Shaped Developer
I-shapedSpecialist — deep expertise in Python
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Repos
26
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+18%
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Dive into formal statistical thinking and computational methods in Data Science through Boston University's Research in Science and Engineering (RISE) program. This repo features materials and example code for mastering computational statistics and conducting meaningful research in the RISE Practicum.
A Python package to simulate Gaussian time-domain signals from theoretical power spectra (1/f + peaks), and optionally estimate PSDs empirically with spectral_connectivity.
An introduction to the practicing neuroscientist to data analysis in Python
A Python assignment template for github classroom
Julia library for fitting and analyzing state space models. Provides efficient implementations of various SSMs including the canonical Gaussian LDS (Kalman Filter/Smoother), Poisson LDS, HMMs, etc.
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