yanliangs Goto Github PK
Name: Liang Yan
Type: User
Bio: Teaching statistics
Location: Shijiazhuang, Hebei
Name: Liang Yan
Type: User
Bio: Teaching statistics
Location: Shijiazhuang, Hebei
统计反思用R和Stan例解贝叶斯方法学习文件
第十一届**R语言大会(广州会场)演讲材料
100 Days of ML Coding
100-Days-Of-ML-Code中文版
Three Dimensional Container Loading Problem
A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression, by Jonathan P. Williams, Curtis B. Storlie, Terry M. Therneau, Clifford R. Jack Jr, Jan Hannig
精算科学的主要部分是构造和分析数学模型,这些模型刻画了保险赔付损失,以及资金流入和流出一个保险系统的过程。精算风险也可以用随机模型的方法进行表述,这些模型是对这些精算风险变量未来的概率分布以及未来的环境状况的假设。精算模型课程的目的是阐述精算建模的过程,即如何从实际数据出发建立一个合适的精算模型。
An open-source textbook constructed for high school statistics. This textbook covers all topics in the AP* Statistics exam.
DLM, ADLM, SARIMA, VECM, Multivariate analysis on GDP and CPI of UK
《sql必知必会》 《算法图解》 《Tensorflow 实战Google深度学习框架》 《推荐系统实践》《Python数据采集》 《机器学习实战》 《统计学习方法》
阿里云天池大赛赛题解析
Performance analysis of predictive (alpha) stock factors
Datasets for the 6th Edition of the book Applied Multivariate Statistical Analysis by Richard Johnson and Dean Wichern
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
R package to accompany Time Series Analysis and Its Applications: With R Examples
User-friendly interface for performing Generalized Fiducial Inference on continuous parameter spaces.
Multivariate time series forecasting problem
beamer template collection
Built both univariate and multivariate time series models to predict monthly Canadian National Bankruptcy Rates.
An introduction to hierarchical Bayesian modelling with R, JAGS and STAN
Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
Slides and code for Bayesian nonparametrics in R and Julia
Bayesian Estimation of a TVP-VAR Model
R code for paper 'Bayesian model selection for unit root testing with multiple structural breaks'
R codes for very simple Bayesian simulations (t test, ANOVA) from existing data
Fast, exact Bayesian inference for logistic likelihoods.
Bayesian Methods for Panel Data Modeling and Inference
bayesplot R package for plotting Bayesian models
:ghost: Utilities for analyzing Bayesian models and posterior distributions
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.