CB2 is an R package which provides functions for hit gene identification and quantification of sgRNA (single-guided RNA) abundances for CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) pooled screen data analysis. Details are in Jeong et al. (2019) <doi:10.1101/gr.245571.118> and Baggerly et al. (2003) <doi:10.1093/bioinformati…

CB2-Experiments is the repository of scripts and data of experiments were performed to benchmark the performance of CB2.

Continuous Norming with R

Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies

statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews

The idea is to propose several models based on Bayesian inference to estimate the likelihood of certain events in Venture Capital

Gibbs sampling for a Beta Binomial model, with example

Privacy-preserving hierarchical Bayes for multi-tenant fleets: empirical-Bayes partial pooling, cold-start mitigation, zero-dependency TypeScript.

Beta Kernel Processes Modeling

Walk-forward backtest. Predikcija. constraint. Bajes. neural (PyTorch). Pipeline.

Bayesian beta-binomial model behavioral reanalysis of reinforcement learning in a multisensory learning dataset.

Example of Beta-Binomial model in Bayesian analysis in R

A reproducible R workflow for paired count data, repeated experimental units, beta-binomial and negative-binomial models, and synthetic-data validation.

A comprehensive, hands-on guide to the fundamentals and advanced concepts of Generative Artificial Intelligence (GAI). This repository contains a curated series of Jupyter Notebooks bridging the gap between foundational statistical theory and state-of-the-art deep generative architectures.

Pipeline for the analysis of single-cell familial data from multiplex clonal assay

Production-ready API for classifying student mastery levels (Attempted, Familiar, Proficient) using Bayesian Beta-Binomial models with uncertainty quantification.

Adaptive learning classifier using a Beta–Binomial model to estimate student proficiency

Symbolic computation for Beta-Binomial MLE using SymPy.

Repository for the course 'Financial Risk' at Gothenburg University