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log-likelihood

Here are 15 public repositories matching this topic...

lacerbi / bads

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Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

matlab bayesian-optimization optimization-algorithms log-likelihood noiseless-functions noisy-functions

Updated Sep 13, 2019
MATLAB

PolyChord / PolyChordLite

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Open

Gaussian example code & comment disagree

andrewfowlie commented Mar 30, 2020

Very small thing. The comment and code disagree for sigma in the gaussian example program (1e-2 versus 1e-1):

https://github.com/PolyChord/PolyChordLite/blob/40022f52d37b3bd74e2f99c0e59d014899d24fb4/likelihoods/examples/gaussian.f90#L11

https://github.com/PolyChord/PolyChordLite/blob/40022f52d37b3bd74e2f99c0e59d014899d24fb4/likelihoods/examples/gaussian.f90#L28

I won't make a PR, as I'm n

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LowLevelParticleFilters.jl

baggepinnen / LowLevelParticleFilters.jl

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Simple particle/kalman filtering, smoothing and parameter estimation

estimation particle-filter dynamical-systems control-systems bayesian-inference unscented-kalman-filter state-estimation system-identification kalman-filter monte-carlo-methods sequential-monte-carlo log-likelihood

Updated May 25, 2020
Julia

gbroques / naive-bayes

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A Python implementation of Naive Bayes from scratch.

python data-mining naive-bayes python3 naive-bayes-classifier classification naive-algorithm data-mining-algorithms naive-bayes-algorithm naivebayes naive-bayes-classification naive maximum-likelihood-estimation maximum-a-posteriori-estimation log-likelihood naive-bayes-tutorial naive-bayes-implementation laplace-smoothing

Updated Mar 27, 2018
Python

lacerbi / ibs

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Inverse binomial sampling for efficient log-likelihood estimation of simulator models

python matlab sampling likelihood-free simulation-model log-likelihood

Updated Jun 16, 2020
MATLAB

jhelvy / logitr

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logitr: An R package for estimating multinomial and mixed logit models in "preference" and "willingness to pay" space utility specifications

preferences r mxl wtp multinomial-regression log-likelihood logit logit-model mixed-logit mxl-models willingness-to-pay

Updated Jul 1, 2020
R

markjolah / PriorHessian

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Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions

prior log-likelihood

Updated Jul 1, 2019
C++

bcbi / MaximumLikelihoodProblems.jl

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Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)

statistics statistical-inference likelihood maximum-likelihood maximum-likelihood-estimation likelihood-functions log-likelihood maximum-likelihood-problems log-likelihood-functions

Updated May 11, 2020
Julia

svdataman / gin

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Gaussian Process Inference

time-series interpolation autocorrelation reconstruction gaussian-processes acv power-spectrum irregular-sampling log-likelihood

Updated Apr 30, 2019
R

paulnorthrop / smovie

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Some movies to teach statistical concepts

statistics movie linear-regression extremes regression teaching probability-distributions test-statistic hypothesis-testing teaching-materials theorem log-likelihood correlation-coefficient central-limit-theorem statistics-learning statistical-concepts likelihood-ratio-test score-test wald-test extremal-types-theorem

Updated Jul 7, 2020
R

sagarmk / Logistic-regression-from-scratch

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Building Logistic Regression from scratch

logistic-regression log-likelihood

Updated Aug 16, 2017
Python

sichkar-valentyn / Logistic_Regression

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Implementing Logistic Regression for the Image Recognition task

logistic-regression log-likelihood logistic-regression-algorithm

Updated Jul 19, 2019

RaczeQ / naive-bayes-classifier

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A Python implementation of Naive Bayes from scratch. Repository influenced by https://github.com/gbroques/naive-bayes

python data-mining naive-bayes python3 naive-bayes-classifier classification python-3 data-mining-algorithms naive-bayes-algorithm naivebayes naive-bayes-classification naive maximum-likelihood-estimation maximum-a-posteriori-estimation log-likelihood naive-bayes-implementation

Updated Mar 17, 2019
Python

Vvkmnn / introDL

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An introductory neural network.

neural-network tensorflow artificial-neural-networks log-likelihood

Updated Apr 25, 2017
Jupyter Notebook

petermchale / pong_RL

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Training a simple AI using the policy-gradient approach to Reinforcement Learning.

neural-network pong openai-gym artificial-intelligence policy-gradient reinforcement-learning-algorithms back-propagation log-likelihood

Updated Apr 20, 2018
Jupyter Notebook

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