Real numbers, data science and chaos: How to fit any dataset with a single parameter
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Updated
Nov 22, 2022 - Jupyter Notebook
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
A framework for Benford's Law conformity assessment.
Goodness-of-fit tests for functional data analysis. Software companion for "A goodness-of-fit test for the functional linear model with functional response"
Implementation of various models for contingency table analysis
Score-based Hypothesis Testing for Unnormalized Models
Hypothesis for Data Science
Stats HW chat bot that solves chi-square problems involving goodness of fit, homogeneity, or independence
Computational statistics project in R on "A Simulative Comparison of Goodness-of-Fit Tests (GOFTs) from an Operational Risk Perspective with Focus on Loss Severity Distributions"
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
Compute absolute goodness of fit via entropy estimation
Data for the reproducibility of Cuesta-Albertos et al. (2019)
Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"
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