Pinned Repositories
401f18
Class materials for STATS 401 (Fall 2018) Applied Statistical Methods II
401w18
Statistics 401: Applied Statistical Methods II
531w16
Course materials for Stats 531 Winter 2016 (Analysis of Time Series)
531w18
Analysis of Time Series
810f19
Course site for STATS 810 "Literature proseminar"
A-Bayesian-Variable-Selection-Method-for-Skewed-and-Heteroscedastic-Response
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.
Advanced-R-Solutions
Set of solutions for the Advanced R programming book
MVSN-FMM
Materials for paper on Bayesian finite mixture of multivariate skew normal model for infant development trajectories.
pra1981's Repositories
pra1981/MVSN-FMM
Materials for paper on Bayesian finite mixture of multivariate skew normal model for infant development trajectories.
pra1981/401f18
Class materials for STATS 401 (Fall 2018) Applied Statistical Methods II
pra1981/401w18
Statistics 401: Applied Statistical Methods II
pra1981/810f19
Course site for STATS 810 "Literature proseminar"
pra1981/Advanced-R-Solutions
Set of solutions for the Advanced R programming book
pra1981/AppliedStat.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
pra1981/bayesian_online_changepoint_detection
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).
pra1981/change_point_research
The code used for my Masters of Statistics project at the University of Utah
pra1981/classo
A package implements Classifier-Lasso
pra1981/Clustering
pra1981/Copula-model-with-K-S-type-distance-R-
Gumbel, Clayton, Frank, Independence copula that use on weibull distribution
pra1981/dwgLASSO-R-codes
R code implementing dwgLASSO algorithm from Zuo et. al.'s BMC Bioinformatics paper (Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO)
pra1981/ECO395M
ECO 395M: Data Mining and Statistical Learning
pra1981/emplik
:exclamation: This is a read-only mirror of the CRAN R package repository. emplik — Empirical Likelihood Ratio for Censored/Truncated Data. Homepage: http://www.ms.uky.edu/~mai/EmpLik.html
pra1981/example-models
Example models for Stan
pra1981/gStream
:exclamation: This is a read-only mirror of the CRAN R package repository. gStream — Graph-Based Sequential Change-Point Detection for Streaming Data
pra1981/high_dimensional_regression_comparison
Empirical comparison of penalized linear regression in high-dimensional settings
pra1981/hugo-blog-theme
pra1981/LLM101n
LLM101n: Let's build a Storyteller
pra1981/MastersThesis_Public
In this repository I'll share some scripts used in my master's thesis: Risk-neutral Derivation of In-play Bet Prices by Modeling Football Matches: A Weibull Point Process Approach.
pra1981/mcp
Regression with Multiple Change Points
pra1981/ncvreg
Regularization paths for SCAD- and MCP-penalized regression models
pra1981/PratheepaJ.github.io
Pratheepa's Personal Website
pra1981/SN-1
Bayesian Skew-Normal Research Materials
pra1981/sort
pra1981/STAT_7350_Stat_analysis_visualization_of_bioData_R_git
pra1981/Students_Performance-Analysis
In the first part of this paper we are going to perform a
pra1981/trendchange
Trend Analysis Using Innovative Trend Analysis Method and Change Point Analysis Using Seqential Mann-Kendall Plot and Distribution Free Cumulative Sum Plot
pra1981/vine_copula
Vine_Copula_based_ARMA_EGARCH
pra1981/Weibull-and-KM-Analysis-to-Determine-Failure-and-Survival-Rates
Application of Weibull and KM Analysis to Determine Failure and Survival Rates in Automobile Industry using R