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Class materials for STATS 401 (Fall 2018) Applied Statistical Methods II
Statistics 401: Applied Statistical Methods II
Course materials for Stats 531 Winter 2016 (Analysis of Time Series)
Analysis of Time Series
Course site for STATS 810 "Literature proseminar"
We propose new Bayesian methods with proper theoretical justification for selecting and estimating a sparse regression coefficient vector for skewed heteroscedastic response. Our novel Bayesian procedures effectively estimate the median and other quantile functions, accommodate non-local prior for regression effects without compromising ease of implementation via sampling based tools. We also extend our method to deal with some observations with very large errors. The link for the paper is https://arxiv.org/abs/1602.09100. This repository contains R code to select important variables using Markov Chain Monte Carlo algorithm. The code is available for public use.
Set of solutions for the Advanced R programming book
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Bayesian modeling of a changepoint problem with R implementation
In statistical analysis, change detection or change point detection tries to identify times when the probability distribution of a stochastic process or time series changes. Using Bayesian Method & Inferences, we can perform change point detection with online procedure. This is the code in R for Bayesian Online Change Point Detection by Adams&Mackay (2007).
Behavioral Change Point Analysis
It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function, moments and EM algorithm for Maximum Likelihood estimators, also empirical quantile and generated envelope for a given sample, all this for the three parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Additionally, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution.
The code used for my Masters of Statistics project at the University of Utah
Methods for nonparametric changepoint detection
:exclamation: This is a read-only mirror of the CRAN R package repository. changepoint.np — Methods for Nonparametric Changepoint Detection
Development package for parallel changepoint detection
R package for change-points estimation in linear regression model via DP and SGL
Bayesian online change point detection
:exclamation: This is a read-only mirror of the CRAN R package repository. ChangepointTesting — Change Point Estimation for Clustered Signals
A package implements Classifier-Lasso
Gumbel, Clayton, Frank, Independence copula that use on weibull distribution
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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.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.