Gaussian process regression + automatical model selection for logitudinal -omics data
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Updated
Mar 11, 2021 - MATLAB
Gaussian process regression + automatical model selection for logitudinal -omics data
Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.
Advanced Data Assimilation Algorithms and Methods
Hyperparameter selection of one-class support vector machine by self-adaptive data shifting
This repository stores my personal projects related to data science studies.
Matlab code for the adaptive annealed importance sampling based marginal likelihood estimator.
Rational kernel-based interpolation for complex-valued frequency response functions [arXiv:2307.13484]
Code for: Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner -- [IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB 24)]
Probabilistic ODE model structure inference using MCMC
an efficient gradient-based model selection algorithm for MLSSVR
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