Topic: "maximum-likelihood-estimation"
MatthewReid854/reliability
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
Language: Python - Size: 24.2 MB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 369 - Forks: 81

dkanungo/Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 95 - Forks: 41

m-clark/models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Language: R - Size: 26.2 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 68 - Forks: 18

jkirkby3/pymle
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
Language: Python - Size: 218 KB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 51 - Forks: 13

physhik/Study-of-David-Mackay-s-book-
David Mackay's book review and problem solvings and own python codes, mathematica files
Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 47 - Forks: 9

odubno/gauss-naive-bayes
Gauss Naive Bayes in Python From Scratch.
Language: Python - Size: 16.1 MB - Last synced at: 7 months ago - Pushed at: about 6 years ago - Stars: 45 - Forks: 21

monty-se/PINstimation
A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.
Language: R - Size: 5.27 MB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 40 - Forks: 7

Blue-Universe/Time-Series-Analysis-Statistical-Arbitrage
This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.
Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 39 - Forks: 12

gbroques/naive-bayes
A Python implementation of Naive Bayes from scratch.
Language: Python - Size: 61.5 KB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 38 - Forks: 27

ecrc/exageostat
A High Performance Unified Framework for Geostatistics on Manycore Systems.
Language: C - Size: 7.83 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 37 - Forks: 16

viodotcom/ppca_rs
Python+Rust implementation of the Probabilistic Principal Component Analysis model
Language: Rust - Size: 316 KB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 35 - Forks: 2

gcampanella/pydata-london-2018
Slides and notebooks for my tutorial at PyData London 2018
Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 1 day ago - Pushed at: almost 7 years ago - Stars: 21 - Forks: 6

stat-ml/GeoMLE
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
Language: Jupyter Notebook - Size: 5.08 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 20 - Forks: 3

KeplerGO/oktopus
đ: Maximum likelihood model estimation using scipy.optimize
Language: Python - Size: 8.51 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 19 - Forks: 5

cescalara/icecube_tools
Python tools for working with the IceCube public data.
Language: Python - Size: 34.8 MB - Last synced at: 26 days ago - Pushed at: 7 months ago - Stars: 14 - Forks: 8

polyactis/Accucopy
Accucopy is a computational method that infers Allele-specific Copy Number alterations from low-coverage low-purity tumor sequencing Data.
Language: C++ - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 4

jkirkby3/BsplineDensity
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
Language: MATLAB - Size: 24.4 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 3

vanTeeffelenLab/ExTrack
ExTrack MLE for diffusive noisy single-particle tracks
Language: Jupyter Notebook - Size: 9.43 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 4

oliviergimenez/multievent_jags_R
Fit multievent capture-recapture models in R (maximum-likelihood), Nimble and JAGS (Bayesian)
Language: R - Size: 16.6 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 12 - Forks: 1

romain-e-lacoste/sparklen
A statistical learning toolkit for high-dimensional Hawkes processes in Python
Language: Python - Size: 250 KB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 0

ankitbit/Advanced_Statistical_Inference
This repository has scripts and other files that are part of the lecture notes and assignments of the course "Advanced Statistical Inference" taught at FME, UPC Barcelonatech.
Language: HTML - Size: 4.91 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 9 - Forks: 7

WilliamBidle/QST
A public Python package to perform quantum state tomography through maximum likelihood estmation
Language: Python - Size: 5.25 MB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

corradomonti/ideological-embeddings
Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"
Language: Python - Size: 6.91 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

timothee-bacri/HMM_with_TMB
A gentle tutorial of accelerated parameter and confidence interval estimation for Hidden Markov Models using Template Model Builder
Language: R - Size: 47.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 1

magister-informatica-uach/INFO337
Herramientas estadĂsticas para la investigaciĂłn
Language: Jupyter Notebook - Size: 114 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 5

upathare1/Advanced-Term-Structures
Our project extends the classical models such as Vasicek and CIR to incorporate the effects of jump-risks in the market. We explore modern methods to price and calibrate such models and evaluate their pricing performance with respect to classical models and the observed market prices.
Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2

hz-zhu/NPD-micro-saccade-detection
NeymanâPearson Detector (NPD) for saccadic eye movements
Language: C++ - Size: 761 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 2

raphael-group/LAML
LAML is a maximum likelihood algorithm to infer cell phylogeny from dynamic lineage tracing data
Language: Python - Size: 59.6 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 6 - Forks: 1

oguzhan-baser/Channel-Estimation
Estimating unknown static channel coefficients on a communication system utilizing Maximum Likelihood Single-Shot Estimation algorithm.
Language: MATLAB - Size: 595 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 3

jiaxiang-cheng/Random-Weighted-Bootstrap-with-Weibull
Reproduction of the work by Hong, Y., Meeker, W. Q., & McCalley, J. D. (2009). Prediction of remaining life of power transformers based on left truncated and right censored lifetime data. Annals of Applied Statistics, 3(2), 857-879.
Language: R - Size: 16.9 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 1

Sendrowski/PhaseGen
Computation and inference on exact solutions of coalescent distributions under diverse demographic scenarios.
Language: Python - Size: 16 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 5 - Forks: 0

prakHr/NeuralNetworksAndFuzzyLogic
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

TomAspinall/FKF.SP
Fast Kalman Filtering through Sequential Processing (R Package)
Language: C - Size: 734 KB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 1

pandafengye/MIST
MIST: a metagenomic intra-species typing tool.
Language: Python - Size: 251 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0

Jaimemosg/EstimationTools
This package provides routines for parameter estimation and model diagnostics for any probability density or mass function implemented in R via maximum likelihood given a data set, with or without covariates. Tools in this package have general applicability, especially in survival analysis and distance sampling. :mag::computer:
Language: R - Size: 196 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

phillipbvetter/ctsmrTMB
Fast and efficient parameter and state estimation in stochastic state space systems with Template Model Builder (TMB)
Language: R - Size: 15 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

jb262/MaximumLikelihoodGammaDist
A basic implementation for the maximum likelihood estimators of a gamma distribution's parameters.
Language: VBA - Size: 5.86 KB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2

wlxiong/sprobit
Spatial probit model of intra-household interactions (implemented in Stata)
Size: 49.8 MB - Last synced at: about 2 years ago - Pushed at: about 13 years ago - Stars: 4 - Forks: 2

ostad-ai/Machine-Learning
This repository contains topics and codes related to Machine Learning and Data Science, especially in Python
Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 3 - Forks: 0

alanff15/Non-Linear-Least-squares
Non Linear Least squares solver and maximum Likelihood Estimation (MLE)
Language: C++ - Size: 1.24 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

xRiskLab/fisher-scoring
A Python implementation of the Fisher Scoring algorithm
Language: Python - Size: 590 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

jeswheel/arima2
Software for maximum likelihood estimation of ARIMA models
Language: R - Size: 620 KB - Last synced at: 9 days ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

jtfeld/EloOptimized
Maximum-likelihood fitting of Elo scores
Language: R - Size: 8.81 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

daodavid/maths-behind-ML
Maths behind machine learning and some implementations from scratch.
Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

dalmia/Bayesian_Decision_Making-Datagiri_Mumbai
Jupyter notebook accompanying my talk on "Bayesian Decision Making" for DataGiri
Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 4

divyat09/Weibull_Data_Fitting
Parameter estimation of Weibull Distribution
Language: Matlab - Size: 8.79 KB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0

stalbrec/JetMass Fork of UHH2/JetMass
Analysis code for jet mass calibration and measurement (histograms, Maximum Likelihood Fit setup, etc.)
Language: Python - Size: 325 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 0

queelius/likelihood.model
Likelihood model framework
Language: R - Size: 387 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

Neves-P/DAISIErobustness
Test the Robustness of DAISIE to Geodynamics and Traits
Language: R - Size: 1.07 GB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 3

ungolof/AffineMortality
Statistical analysis of affine mortality models. Implementation of univariate Kalman Filter based routines for the estimation, goodness of fit assessment and projection of affine mortality models
Language: R - Size: 277 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

queelius/wei.series.md.c1.c2.c3
Weibull series system estimation from data with censored lifetimes and masked component cause of failure.
Language: R - Size: 1.42 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

filippopalomba/rcrologit
Random Coefficients Rank-Ordered Logit
Language: TeX - Size: 2.8 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

bio-phys/ForceSpectroscopyMLE
Analyze rupture force spectra from single-molecule force spectroscopy experiments to extract disassociation rates and parameters characterizing the free-energy profile underlying the bond.
Language: Julia - Size: 69.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

RishiDarkDevil/Numerical_Analysis_Projects
Numerical Analysis Projects
Language: HTML - Size: 15.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

sohale/point-process-simple-example
đ§ A decoder of Spike Trains using đŹ Bayesian, State-Space, đ Point-Processes, EM-algorithm, Maximum-likelihood
Language: Python - Size: 212 KB - Last synced at: 6 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

stxupengyu/maximum-likelihood-estimation
äťçťĺ丞äžďźćŁćĺĺ¸ăćłćžĺĺ¸ă䟽銏ĺĺ¸ďźĺąç¤şäşć大䟟çśäź°čŽĄăThis paper introduces and gives examples (normal distribution, Poisson distribution, gamma distribution) to show the MLE.
Language: Jupyter Notebook - Size: 5.38 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

tarujg/statistical-learning
Repository pertaining to traditional statistical methods being applied to foreground segmentation for an image of a Cheetah
Language: MATLAB - Size: 4.68 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

dirkschumacher/losep
An R package to detect seperation in binary classification models using linear programming
Language: R - Size: 65.4 KB - Last synced at: 7 days ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

bhaskarkvvsr/Logistic-Regression
Code for optimising an objective function
Language: Python - Size: 80.1 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

oliviergimenez/GammaGompertzCR
Fit Gamma-Gompertz model to capture-recapture data using data cloning
Language: R - Size: 1.5 MB - Last synced at: 4 days ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

compops/newton-sysid2015
Newton-based maximum likelihood estimation in nonlinear state space models
Language: Python - Size: 3.77 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 2

SaiSampathKedari/Statistical-Inference-Theory
Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estimation, Hypothesis Testing, and Interval Estimation, crucial for Statistical Machine Learning, Computational Statistics, and Probabilistic Robotics.
Size: 82.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

AlexStead/rfrontier
Stata package for robust stochastic frontier analysis
Language: Stata - Size: 68.4 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

AlexStead/FronPy
Python package for frontier analysis
Language: Python - Size: 637 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

kkoukouletsou/Pattern-Recognition-and-Machine-Learning
Assignments for Pattern Recognition and Machine Learning Course at ECE AUTH.
Language: Jupyter Notebook - Size: 857 KB - Last synced at: 3 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

mjavadg/Econometrics_Fall-2024
For masterâs students in mathematical economics, focusing on econometric methods and applications.
Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

DolbyUUU/regression_algorithm_implementation_python
regression algorithm implementaion from scratch with python (least-squares, regularized LS, L1-regularized LS, robust regression)
Language: Python - Size: 4.88 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

witkov/chi-squared
Resources for the book "Chi-Squared Data Analysis and Model Testing for Beginners" by Carey Witkov and Keith Zengel, Oxford University Press, 2019.
Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

Jocelyne-Smith/data-science
Some R and Python code I've been working on.
Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Abdoelabassi/Statistics_for_ML
Probability & Statistics for Machine Learning & Data Science
Language: Jupyter Notebook - Size: 46.6 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

kyomangold/ETH-MachineLearning
Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.
Language: Python - Size: 568 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

TheUnsolvedDev/ProbabilisticMadness
Statistics and Machine Learning in depth analysis with Tensorflow Probability
Language: Python - Size: 80 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

amandaay/CS6220DataMining
Data Mining
Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

JamesHotniel78/Algorithm-BFGS-in-R-Project
Binary Logistic Regression Analysis using the Broyden-Fletcher-Goldfarb-Shanno Algorithm on the Quasi-Newton Method
Language: R - Size: 41 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

hanshengjiang/npmle_git
A Python package for computing NPMLE of mixture of regression
Language: Python - Size: 166 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

NikolasTz/flink_bayesian_networks_monitoring
Distributed and Online Maintenance of Bayesian Networks in Apache Flink
Language: Java - Size: 8.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

donlapark/Dirichlet-Mechanism
The Dirichlet Mechanism for Differentially Private KL Divergence Minimization
Language: Jupyter Notebook - Size: 5.27 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

leonardopedroso/Digital-Signal-Processing-labs
Digital signal processing laboratories. Sampling and aliasing; Discrete Fourier transform (DFT); Digital filters; Autoregressive least squares (LS); Maximum Likelihood Estimation (MLE)
Language: MATLAB - Size: 178 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

PENGLU-WashU/PG_PEM
The matlab code of PG-PEM.
Language: MATLAB - Size: 153 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Taabannn/maximum-likelihood-estimator
This repository includes problems 9-10 & exercises 10-14 of Bertsekas probability book chapter9
Language: Jupyter Notebook - Size: 405 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

daodavid/classic-ML
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
Language: HTML - Size: 1.49 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

YuriPaglierani/Data-Analysis-Fortran
A basic program for data analysis of 1 parameter, it can be extended and optimized. Program done collaborating with Alessandro Namar
Language: Fortran - Size: 28.3 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

ti-99/Machine-Learning-Algorithms
Implementing and testing several machine learning algorithms
Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

bio-phys/DiffusionMLE
Analyze experimental tracking data using a maximum likelihood estimator (MLE) to extract translational diffusion coefficients.
Language: Julia - Size: 64.5 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 2

purvilmehta06/Machin-Learning
This repository contains the lab work of the course Machine Learning (IE 406).
Language: Jupyter Notebook - Size: 8.64 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

gmagannaDevelop/Vraisemblance
It's *likely* one of the coolest repos that you have ever seen.
Language: R - Size: 380 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

gmagannaDevelop/Distributions.jl
Review of continuous and discrete distributions for the course on maximum likelihood methods.
Language: Julia - Size: 48.8 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

shivangi-975/ML-and-MAP-estimation-of-poisson-distribution
MLE and MAP estimation
Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

bcbi/MaximumLikelihoodProblems.jl
Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
Language: Julia - Size: 276 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

albertusk95/maximum-likelihood-estimator
Maximum likelihood estimator for the fitted distribution parameters given a set of observations
Language: Scala - Size: 96.7 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

AleksandraSteiner/logreghd
Modern Logistic Regression for High Dimensional Data
Language: R - Size: 83 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

joshspeagle/phot_bias
Biases in Maximum-Likelihood Photometry
Language: Jupyter Notebook - Size: 49.7 MB - Last synced at: 3 days ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1

nitinkarolla/Statistics
Assignment submission for the course - Probability and Statistics for Data Science
Language: Jupyter Notebook - Size: 393 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

deruhat/Regression-Algorithms
Batch Gradient Descent, Stochastic Gradient Descent and Maximum Likelihood Estimation using Python.
Language: Python - Size: 584 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

bquilty25/outbreaks-public
Language: HTML - Size: 544 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

StatisKit/FFP17
Computational Studies of Adja Magatte Fall Internship
Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 3

hyzhak/mle
Machine Learning: Maximum Likelihood Estimation (MLE)
Language: Jupyter Notebook - Size: 655 KB - Last synced at: 2 months ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 3

oeken/reelskill
CmpE 492 Project: Player rating estimation with probabilistic models and MLE
Language: TeX - Size: 48.5 MB - Last synced at: over 2 years ago - Pushed at: about 9 years ago - Stars: 1 - Forks: 0

TomAspinall/kalman-filter
Kalman Filtering and Smoothing in Python, using optimized algorithms
Language: C - Size: 152 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

thechibo/estim
Distribution Parameter Estimation - DEPRECATED - please use https://github.com/thechibo/joker
Language: R - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
