WeiYa's Work Yard

A dog, who fell into the ocean of statistics, tries to write down his ideas and notes to save himself.

Notes: Model-Free Scoring System for Risk Prediction

October 17, 2017 0 Comments

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Notes: Temporal-Difference Learning

October 12, 2017 0 Comments

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Notes: Essentials of Survival Time Analysis

October 11, 2017 0 Comments

This post aims to clarify the relationship between rates and probabilities.

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Notes: Stochastic Epidemic Models

October 11, 2017 0 Comments

Discuss three different methods for formulating stochastic epidemic models.

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An R Package: Fit Repeated Linear Regressions

September 26, 2017 0 Comments

Repeated Linear Regressions refer to a set of linear regressions in which there are several same variables.

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A Faster Algorithm for Repeated Linear Regression

September 21, 2017 0 Comments

Repeated Linear Regression means that repeat the fitting of linear regression for many times, and there are some common parts among these regressions.

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Notes: Persistence of species in the face of environmental stochasticity

September 18, 2017 0 Comments

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Chain-Structured Models

September 08, 2017 0 Comments

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Basic Principles of Monte Carlo

September 07, 2017 0 Comments

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The Applications of Monte Carlo

September 07, 2017 0 Comments

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Dynamics of Helicobacter pylori Infection

September 02, 2017 0 Comments

This post is the notes of this paper.

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Healthy Human Microbiome

September 02, 2017 0 Comments

This post is the notes of this paper.

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Dynamics of Helicobacter pylori colonization

September 01, 2017 0 Comments

This post is the notes of this paper.

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Restricted Boltzmann Machines

August 26, 2017 0 Comments

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Cox Regression

August 17, 2017 0 Comments

Survival analysis examines and models the time it takes for events to occur. It focuses on the distribution of survival times. There are many well known methods for estimating unconditional survival distribution, and they examines the relationship between survival and one or more predictors, usually terms covariates in the survival-analysis literature. And Cox Proportional-Hazards regression model is one of the most widely used method of survival analysis.

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Conjugate Gradient for Regression

August 13, 2017 0 Comments

The conjugate gradient method is an iterative method for solving a linear system of equations, so we can use conjugate method to estimate the parameters in (linear/ridge) regression.

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Bayesian Estimation for Linear Regression

August 13, 2017 0 Comments

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Story about P value

August 09, 2017 0 Comments

“The p value was never meant to be used the way it’s used today.” –Goodman

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Poisson Regression

August 01, 2017 0 Comments

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Estimate Parameters in Logistic Regression

July 30, 2017 0 Comments

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SMC in Biological Problems

July 22, 2017 0 Comments

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The Gibbs Sampling

July 22, 2017 0 Comments

The Gibbs sampler is a special MCMC scheme. Its most prominent feature is that the underlying Markov chain is constructed by composing a sequence of conditional distributions along a set of directions.

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Metropolis Algorithm

July 21, 2017 0 Comments

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A Bayesian Missing Data Problem

July 18, 2017 0 Comments

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Model Specification

July 17, 2017 0 Comments

For a given time series, how to choose appropriate values for $p, d, q$

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Growing A Polymer

July 17, 2017 0 Comments

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Adaptive Importance Sampling

July 16, 2017 0 Comments

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An Illustration of Importance Sampling

July 16, 2017 0 Comments

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ARIMA

July 11, 2017 0 Comments

Any time series without a constant mean over time is nonstationary.

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Bayesian Analysis of Mixture Distribution

June 27, 2017 0 Comments

HAVE NOT FINISHED!!!

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