Real numbers, data science and chaos: How to fit any dataset with a single parameter

NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

a C++11 library for lattice QCD data analysis

The collection of exercises I did during Ironhack's Data Science bootcamp.

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

The Rainfall Intensity Data Series can be Fitted to Eight Different PDFs and the Intensity-Duration-Frequency Curves are Computed

R package to perform goodness-of-fit tests for capture-recapture models (and various manipulations)

Tools for evaluating the goodness of fit of a point process model via the time rescaling theorem

Goodness-of-fit tests for functional data analysis. Software companion for "A goodness-of-fit test for the functional linear model with functional response"

A framework for Benford's Law conformity assessment.

Score-based Hypothesis Testing for Unnormalized Models

Evaluating the probabilistic forecasts between competitive forecasters

Stats HW chat bot that solves chi-square problems involving goodness of fit, homogeneity, or independence

A Python Package for the Four-Parameter Beta Distribution and Likelihood-Based Estimation

Implementation of various models for contingency table analysis

Limited Information Goodness of Fit Tests for Binary Factor Models

Detailed implementation of various regression analysis models and concepts on real dataset.

Hypothesis for Data Science

Predicting the Likelihood of Diabetes Using Common Signs and Symptoms - About one-third of patients with diabetes do not know that they have diabetes according to the findings published by many diabetes institutes around the world. Detecting and treating diabetes patients at early stages is critical in order to keep them healthy and to ensure th…

R-squared measure for categorical data goodness-of-fit analysis using the surrogate R-squared