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
Public version of PolyChord: See polychord.co.uk for PolyChordPro
The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
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
A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.
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A log likelihood process for optimal entry / exit / stopping.
Interface for mathematical/statistical densities in Julia
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
Likelihood-Based Inference for Time Series Extremes
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Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions
Some movies to teach statistical concepts
Implementing Logistic Regression for the Image Recognition task
total raw governmental industry employment data from January 1 1939 to October 30 2019. Time Series analysis to forecast employment from October 2019-October 2020.
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