Walk-forward backtest. Predikcija. constraint. Bajes. neural (PyTorch). Pipeline.
Example of Beta-Binomial model in Bayesian analysis in R
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.
Bayesian beta-binomial model behavioral reanalysis of reinforcement learning in a multisensory learning dataset.
Symbolic computation for Beta-Binomial MLE using SymPy.
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.
A reproducible R workflow for paired count data, repeated experimental units, beta-binomial and negative-binomial models, and synthetic-data validation.
Adaptive learning classifier using a Beta–Binomial model to estimate student proficiency
Repository for the course 'Financial Risk' at Gothenburg University
R package for estimating probability for binomial data with a beta prior
Production-ready Bayesian & Frequentist A/B Testing framework with Monte Carlo simulation, interactive Streamlit dashboard, statistical decision engine, and live deployment.
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
📊 Build and deploy a beta-binomial classifier API using FastAPI and Docker for scalable machine learning solutions with best engineering practices.
Gibbs sampling for a Beta Binomial model, with example
Sample size estimation for single cell studies
Privacy-preserving hierarchical Bayes for multi-tenant fleets: empirical-Bayes partial pooling, cold-start mitigation, zero-dependency TypeScript.
Design-matrix beta-binomial regression, benchmarks, and manuscript for quantitative CRISPR pooled screens
Continuous Norming with R
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