statistical-modeling

There are 2 repositories under statistical-modeling topic.

bambinos / bambi
BAyesian Model-Building Interface (Bambi) in Python.
bayesian-inference bayesian-statistics python regression-models statistical-analysis statistical-modeling
Language:Python 1061
yrosseel / lavaan
an R package for structural equation modeling and more
structural-equation-modeling latent-variables factor-analysis growth-curve-models path-analysis multilevel-models multivariate-analysis psychometrics missing-data statistical-modeling
Language:R 427
stan-dev / rstanarm
rstanarm R package for Bayesian applied regression modeling
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics multilevel-models r r-package rstan rstanarm stan statistical-modeling
Language:R 383
ecmerkle / blavaan
An R package for Bayesian structural equation modeling
structural-equation-modeling latent-variables factor-analysis growth-curve-models path-analysis multilevel-models multivariate-analysis psychometrics missing-data bayesian-statistics cran statistical-modeling
Language:R 85
Mooseburger1 / Springboard-Data-Science-Immersive
python data-science pyspark web-scraping statistical-analysis statistical-inference statistical-modeling deep-learning convolutional-neural-networks deep-neural-networks tensorflow tensorboard opencv nlp time-series-analysis time-series-prediction h5 sql hadoop eda
Language:Jupyter Notebook 63
akshitvjain / product-sales-forecasting
Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
time-series-analysis ets-model holt-winters arima-model sarima linear-regression time-series-decomposition sales-forecasting machine-learning-algorithms statistical-methods machine-learning regression statistical-modeling exponential-smoothing
Language:Jupyter Notebook 47
mrtkp9993 / Statistical-Modeling-Examples
Basic statistical modelling examples.
statistical-analysis statistical-inference statistical-modeling python python3 stan pystan regression-analysis regression-models anova analysis-of-variance pandas matplotlib seaborn r-language r-programming r-markdown
Language:R 41
shangqigao / BayeSeg
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
bayesian-deep-learning cardiac-segmentation image-decomposition image-segmentation model-generalization statistical-modeling variational-inference
Language:Python 34
jessecambon / Data-Science-Sandbox
Code and resources to serve as a starting point for data science projects.
data-science data-visualization geospatial-analysis r machine-learning statistical-modeling python nlp statistics
Language:Jupyter Notebook 20
ito4303 / naro_toukei
農研機構統計研修「ベイズ統計モデリングとMCMC」
bayesian-statistics mcmc statistical-modeling jags stan
Language:TeX 17
brandmaier / semtree
Recursive Partitioning for Structural Equation Models
forest randomforest decision-tree multivariate sem statistical-modeling structural-equation-modeling structural-equation-models bigdata r cran recursive-partitioning
Language:R 13
adamavip / nirs-protein-prediction
We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals
machine-learning deep-learning auto-ml nirs statistical-modeling plant-breeding plant-phenotyping
Language:Jupyter Notebook 12
UnixJunkie / orf
OCaml Random Forests
classification regression machine-learning statistical-modeling ocaml-library random-forests out-of-bag bagging bootstrap-aggregation
Language:OCaml 8
mcdonohue / rstanarm
rstanarm R package for Bayesian applied regression modeling
ltjmm stan multilevel-models r-package bayesian bayesian-inference bayesian-methods bayesian-statistics bayesian-data-analysis statistical-modeling r rstan rstanarm latent-time-joint-mixed-models
Language:R 6
avakanski / Rehabilitation-Assessment-through-Dimensionality-Reduction-and-Statistical-Modeling
An autoencoder neural network and a Gaussian mixture model are used for generating movement quality scores for rehabilitation exercises.
physical-rehabilitation movement-modeling dimensionality-reduction statistical-modeling
Language:Jupyter Notebook 5
Data-Science-Projects
bryan-md / Data-Science-Projects
Portfolio of personal projects & curriculum from Springboard
data-science statistical-analysis statistical-inference bootstrapping-statistics statistical-modeling time-series-analysis cluster-analysis sqlalchemy sql nlp-machine-learning naive-bayes-classification eda json springboard-data-science springboard-projects
Language:Jupyter Notebook 4
guyabel / tidycat
Expand broom::tidy() output for categorical parameter estimates
glm statistical-modeling statistical-analysis data-viz data-visualization model-comparison regression-models regression-analysis r rstats rstats-package
Language:R 4
haziqj / INLAvaan
An R package for Bayesian structural equation modeling using INLA
bayesian-inference factor-analysis inla psychometrics statistical-modeling structural-equation-modeling
Language:R 4
UnixJunkie / svmwrap
Wrapper on top of libsvm-tools
svm regression machine-learning statistical-modeling support-vector-machine ocaml-program classification
Language:OCaml 4
Mangalis0 / Titanic-Survival-Conditional-Probability
Simple statistical prediction of the survival chances of the passengers in the testing set, given certain conditions as input. Refer to README.md for more detail
statistical-modeling missing-values imputation
Language:Jupyter Notebook 3
SpikeAI / 2022-11_brainhack_DetecSpikMotifs
2022-11_brainhack_DetecSpikMotifs: Automatic detection of spiking motifs in neurobiological data. This project aims to develop a method for the automated detection of repeating spiking motifs, possibly noisy, in ongoing activity.
bayesian-inference deep-learning information-theory machine-learning neural-network statistical-modeling brainhack brainhack-marseille institut-neurosciences-timone
Language:Jupyter Notebook 3
alexisrsantos / Correspondence_Lancet
Correspondence to Lancet regarding the article by Santos-Burgoa and colleagues (2018)
puerto-rico puerto rico mortality estimation hurricane-maria hurricane maria excess-deaths excess deaths statistical-modeling
Language:R 2
CoRE-Lab-UCF / Modeling-Global-Storm-Surges
A collection of scripts used for modeling global daily maximum surges
storm-surge machine-learning statistical-modeling changepoint-detection trends extreme-value-analysis spatial-footprint renanalysis database
Language:Python 2
InPhyT / inphyt.github.io
Special repository hosting the InPhyT website.
physics mathematics computer-science modeling computational-social-science data-mining machine-learning statistical-physics network-analysis computational-epidemiology computational-neuroscience computational-socialscience mathematical-modelling computational-modelling scientific-computing scientific-machine-learning data-analysis statistical-modeling
Language:HTML 2
LeondraJames / TheMatrixScript_NLP
A project utilizing NLP techniques and analysis including text mining, document term matrices, sentiment analysis, wordclouds and topic modeling with LDA.
film idf lda nlp r sentiment-analysis statistical-modeling text-mining tf-idf the-matrix topic-modeling woah wordcloud machine-learning there-is-no-spoon
Language:HTML 2
nvlinhvn / water-consumption-campaign-analytics
Evaluate the effectiveness of water consumption campaign in 12 districts
hypothesis-testing linear-regression ols-regression statistical-modeling
Language:Jupyter Notebook 2
wywongbd / EPFL-Time-Series
MATH-342 Time Series course taken at EPFL during Spring 17-18.
time-series-analysis forecasting arima-forecasting seasonality garch-models acf autocorrelation temperature machine-learning statistical-modeling
Language:R 2
youheekil / Estimation-of-the-ROC-curve
Created a model to estimate the measurement error existing in ROC curves - Measurement Error model, Bernstein polynomial Model, Contaminated Non-parametric Density Estimation, MLE, EM Algorithm, R
latex r statistical-modeling measurement-error nonparametric-model roc-curve
Language:TeX 2
amoustakis / Statistical-Modeling-data-analysis
A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets
lasso-regression-model linear-regression logistic-regression poisson-regression polynomial-regression r r-studio ridge-regression-model statistical-analysis statistical-modeling
Language:R 1
b-knight / olspow
Python package for conducting power analysis for experiments using regression and/or clustered data.
clustered-data covariate-adjustment ols ols-regression power-analysis statistical-modeling statistics
Language:Python 1
Daniel-Andarge / AiML-walmart-sales-prediction-ml
This project is a machine learning competition hosted on Kaggle platform, focused on forecasting Walmart's monthly and quarterly sales. We tasked with developing advanced predictive models to accurately predict Walmart's sales, taking into account various factors such as historical sales data, macroeconomic indicators, and local market conditions.
data-preprocessing eda machine-learning model-explainability predictive-modeling-techniques python scikit-learn statistical-modeling tensorflow
Language:Jupyter Notebook 1
DCajiao / inferencia_modelacion_estadistica
data-science statistics statistical-inference statistical-modeling
Language:Jupyter Notebook 1
enr24 / Data-Science-Academic-Projects
Attached in the repository are my academic projects from my Under Graduate Data Science Courses.
data-analysis data-science machine-learning rstudio statistical-modeling
1
junaidali-b / projects
Data science projects created using actual data, using Python and R.
data-science deep-learning machine-learning neural-networks python r statistical-analysis statistical-modeling
Language:Python 1
shliakhovai / dynamic-sentence-generator
This C++ program, Dynamic Sentence Generator, leverages statistical analysis to create new sentences based on provided input text. The core functionality revolves around analyzing word transitions in the input text to capture patterns and then generate sentences that mimic the structure of the original text.
cpp language-model nlp programming sentence-generator statistical-modeling text-generation
Language:C++ 1
waldekmaciejko / GilbertModel
Implements in C++ Gilbert model
statistical-modeling voip packets-loss
Language:C++ 1

statistical-modeling

bambinos / bambi

yrosseel / lavaan

stan-dev / rstanarm

ecmerkle / blavaan

Mooseburger1 / Springboard-Data-Science-Immersive

akshitvjain / product-sales-forecasting

mrtkp9993 / Statistical-Modeling-Examples

shangqigao / BayeSeg

jessecambon / Data-Science-Sandbox

ito4303 / naro_toukei

brandmaier / semtree

adamavip / nirs-protein-prediction

UnixJunkie / orf

mcdonohue / rstanarm

avakanski / Rehabilitation-Assessment-through-Dimensionality-Reduction-and-Statistical-Modeling

bryan-md / Data-Science-Projects

guyabel / tidycat

haziqj / INLAvaan

UnixJunkie / svmwrap

Mangalis0 / Titanic-Survival-Conditional-Probability

SpikeAI / 2022-11_brainhack_DetecSpikMotifs

alexisrsantos / Correspondence_Lancet

CoRE-Lab-UCF / Modeling-Global-Storm-Surges

InPhyT / inphyt.github.io

LeondraJames / TheMatrixScript_NLP

nvlinhvn / water-consumption-campaign-analytics

wywongbd / EPFL-Time-Series

youheekil / Estimation-of-the-ROC-curve

amoustakis / Statistical-Modeling-data-analysis

b-knight / olspow

Daniel-Andarge / AiML-walmart-sales-prediction-ml

DCajiao / inferencia_modelacion_estadistica

enr24 / Data-Science-Academic-Projects

junaidali-b / projects

shliakhovai / dynamic-sentence-generator

waldekmaciejko / GilbertModel