Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
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Updated
Nov 14, 2022 - MATLAB
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
A Python implementation of Naive Bayes from scratch.
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations in R
Building Logistic Regression from scratch
A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.
This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
A log likelihood process for optimal entry / exit / stopping.
Interface for mathematical/statistical densities in Julia
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
Some movies to teach statistical concepts
Robot Localization using Hidden Markov Model
python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites
A Python implementation of Naive Bayes from scratch. Repository influenced by https://github.com/gbroques/naive-bayes
Implementing Logistic Regression for the Image Recognition task
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
Classifying certain music genre and others utilizing Log-likelihood Ratio and Logistic Regression
Fundamentals of Biometric Systems Design Assignments
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