Scott Linderman

http://slinderman.web.stanford.edu

Stanford University Stanford, CA I'm an assistant professor at Stanford University in the Statistics Department and the Wu Tsai Neurosciences Institute.

Results 10 repositories owned by


Scott Linderman

stats320

191

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32

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STATS320: Statistical Methods for Neural Data Analysis

machine-learning

statistical-methods

pyhawkes

222

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79

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Python framework for inference in Hawkes processes.

pyglm

44

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10

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Interpretable neural spike train models with fully-Bayesian inference algorithms

pypolyagamma

80

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24

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Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.

recurrent-slds

84

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24

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Recurrent Switching Linear Dynamical Systems

stats215

29

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4

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stats271sp2021

25

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11

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Material for STATS271: Applied Bayesian Statistics (Spring 2021)

theano_pyglm

46

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10

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Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.

thesis

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1

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My PhD Thesis

stats305c

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STATS305C: Applied Statistics III (Spring, 2023)